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Scientist Reveals ‘Quantum Entanglement’ May Explain the Mind Existing as a Field Separate From the Brain – The Epoch Times

June 20, 2022 | Author: admin

The relationship between the mind and the brain is a mystery that is central to how we understand our very existence as sentient beings. Some say the mind is strictly a function of the brain consciousness is the product of firing neurons. But some strive to scientifically understand the existence of a mind independent of, or at least to some degree separate from, the brain.

The peer-reviewed scientific journal NeuroQuantology brings together neuroscience and quantum physics a crossroads that some scientists have used to explore this fundamental relationship between mind and brain.

An article published in NeuroQuantologys September 2017 edition reviews and expands on current theories of consciousness that arise from this meeting of neuro and quantum sciences.

Dr. Dirk K.F. Meijer, a professor at the University of Groningen in the Netherlands, hypothesizes that consciousness resides in a field surrounding the brain, a field which lies in another dimension. It shares information with the brain through a concept known as quantum entanglement, among other processes. This has certain similarities with a black hole.

This field may be able to pick up information from the Earths magnetic field, dark energy, and other sources. It then transmits wave information into the brain tissue, that is instrumental in high-speed conscious and subconscious information processing,wrote Dirk.

In other words, the mind is a field that exists around the brain; it picks up information from outside and communicates it into the brain at an extremely fast speed.

He described this field alternately as a holographic structured field, a receptive mental workspace, a meta-cognitive domain, and the global memory space of the individual.

Theres an unsolved mystery in neuroscience called the binding problem.Different parts of the brain handle different tasks: some work on processing color, some on processing sound, etc. But thisall somehow comes together as a unified perception, or consciousness.

Information merges and interacts in the brain more quickly than can be explained by current understandings of neural transmissions in the brain.It thus seems the mind is more than just neurons firing in the brain.

Neuroscientists are still searching for a mechanism behind this binding of disparate parts of the brains information processing. Meijerhas turned to quantum entanglement and tunneling for part of the answer.

Quantum entanglement is where particles appear to be connected despite vast distances between them. When actions are performed on one of the particles, corresponding changes are observed on the others simultaneously and instantaneously.

Quantum tunneling is a phenomenon where a particle tunnels through a barrier it shouldnt be able to according to classical physics.

These quantum phenomena allow for processes so rapid exceeding the speed of lightthey cant be explained with classical physics. So they could help explain ultra-fast subconscious mental processes.

If a mind or mental field could interact with the brain this way, that could be a step toward explaining the rapidity of mental processes.Meijer also used the wave-particle fluctuation of matter in quantum physics to explain the relationship between the mental field and brain. The idea is that particles, such as electrons and photons, exist as waves of probability, but also exist as particles in the event of those probabilities collapsing.

Similarly, Meijer said the mental field is both non-material and, simultaneously, part of the physical brain: The proposed mental workspace is regarded to be non-material, but in relation to the individual brain, entertains a non-dual wave/particle relation according to quantum physical principles: it is directly dependent on the brain physiology but not reducible to it.

The mind and the brain, said Meijer, are connected. They are unified, yet separate. Such an apparent paradox is a signature of quantum physics.

He hypothesizes that the mental field lies in another dimension: That we cannot directly perceive this information aspect is traditionally ascribed to a hidden fourth spatial dimension which cannot be observed in our 3-D world, but can be mathematically derived.

This fourth spatial dimension isnt time. Rather, it is a concept of space-time which includes four spatial dimensions, plus time a 4+1 space-time structure.

He cited studies that have suggested this concept of dimensions could reconcile the mismatches between traditional physics and quantum physics that plague scientists today.

Thus, the mind would exist in the fourth spatial dimension.

Meijer envisions a sort of screen or boundary between the outside world and the individual mental field. He likens this boundary to the event horizon of a black hole.

It is assumed that information entering a black hole from the outside is not lost, but rather is being projected on its outer screen, called the event horizon, Meijer wrote.

Consciousness is a boundary condition between a singularity (black hole) and space within the brain, he added, noting that the event horizon separates a mental model of reality for internal use in each individual from all that exists outside of it. Yet it is connected to a universal information matrix.

This dynamic holographic boundary collects information from inside the brain as well as from the information fields in which our brain is permanently embedded, he told The Epoch Times. In this manner, it is implicitly connected to a universal information matrix.

The geometrical shape known as a torus is well suited for the nature and functions Meijer attributes to this mental field.

A torus is described by the Merriam Webster dictionary as a doughnut-shaped surface generated by a circle rotated about an axis in its plane that does not intersect the circle.

Meijer presented various reasons related to physics theories for this shape. One is related to a theory of how electrical activity in the brain oscillates.

The torus structure is found in physics from the microscale, to the extreme macroscale of black holes, and the universe as a whole, Meijer explained. It could be instrumental in dynamically integrating information in the mind and brain.

Our paper, may directly contribute to an answer on the famous question of [cognitive scientists and philosopher David] Chalmers : how can something immaterial like subjective experience and self-consciousness arise from a material brain?Meijer wrote.

The ability of the mental field to pick up information from other fields, as conceived by Meijer, could also explain some anomalous phenomena, such as extrasensory perception, he noted.

In his view, consciousness can be regarded as the most basic building block of nature and consequently is present at all levels of the fabric of reality.

Since quantum physics emerged, scientists have been exploring its ability to explain consciousness, which Meijers work fits into.

Another theory called orchestrated objective reduction, or Orch-OR, was developed by physicist Sir Roger Penrose and anesthesiologist Dr. Stuart Hameroff, which on Hameroffswebsite hedescribesthusly: It suggests consciousness arises from quantum vibrations in protein polymers called microtubules inside the brains neurons.

Like Meijer, Penrose and Hameroff believethere is a connection between the brains biomolecular processes and the basic structure of the universe. They have also called for a major change in how scientists view consciousness.

Hameroff said in an interview with the blog Singularity: Most scientists cant explain consciousness in the brain, so they cant say that consciousness out of the brain is impossible.

Update:Dr. Dirk Meijer has provided The Epoch Times with an update on his paper, clarifying that quantum tunneling and entanglement are not the most likely methods of information transfer between the mental field and the brain. These two phenomena have been shown to provide only a correlation between two particles, not necessarily information transfer (although that may prove to be the case with further research).

Rather, quantum wave resonance is a more likely mechanism of extremely rapid information processing in the brain. This means, instead of signals being sent between neurons in the brain, a wave pattern that encompasses all neurons, as well as the mental field, transmits the information instantaneously.

Picture a vibration wave going up and down in a consistent pattern and running all through your brain and even outside of it. That pattern communicates information that can be understood by vibratory receptors in your brain. All of this is happening in a dimension and at a microscopic level not directly perceptible through conventional scientific instrumentation at our disposal today, yet can be inferred through physical and mathematical modeling.

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The recluse who confronted the mystery of the universe – Business Standard

June 20, 2022 | Author: admin

In early October 2013, the Nobel Prize committee was preparing to announce the winner of its award in physics. The leading candidate as pretty much everyone knew was an 84-year-old Scottish scientist named Peter Higgs, who was not feeling nearly as joyful as you might think. Yes, he wanted to win the award, yes, he wanted to be recognised for his pioneering insights into how subatomic particles build our universe. He just wanted to be recognised for it quietly.

But as a theorist already heralded for his 1964 work predicting the Higgs boson (sometimes called the God particle), he knew he was pipe-dreaming. He could almost hear the thunder of microphone-wielding journalists advancing on his Edinburgh apartment. So he made a pre-emptive decision: I decided not to be home. On the morning of the announcement, Higgs crept out his back door, caught a bus to a nearby town, tucked himself into a pub and hunkered down with a medicinal pint of ale.

Thus, when Higgs did win the Nobel (along with the French physicist Franois Englert), neither journalists nor fellow physicists could find him. We dont know where he is, one University of Edinburgh colleague sadly explained to an exasperated reporter. One is left to wonder if Frank Close chose the title for Elusive as a reference to the glimmering subatomic particle of Higgss theory or to the theorist himself.

As Close notes, Peter Higgs has managed to avoid much of the pace of modern life. He does his best to avoid both email and cell phones. Close, a physicist himself and the author of numerous popular science books, is a long-time colleague and friend of Higgss, but to research this volume he was forced to mail reminder letters to confirm appointments. Their conversations, not entirely revealing, were mostly conducted via Higgss treasured landline phone. As a result, although his publisher describes Elusive as the first major biography of Peter Higgs, Close seems less sure of that, describing his book as not so much a biography of the man but of the boson named after him.

Closes description is more accurate. The biographical facts add up to more of a brisk sketch than a richly detailed portrait. This is not to deny that there are moments of sharp and even bitter insight: Higgss belief that his antisocial personality developed during a sickly and lonely childhood in northern England I grew up a rather isolated child; his marriage and its failure because of his workaholic habits; a resulting, paralysing depression; his dedication to social justice causes, which at one point led him to suspect that he had become an embarrassment to some of his colleagues. After all, Higgs notes modestly, The portion of my life for which I am known is rather small three weeks in the summer of 1964.

It is those three weeks that anchor the real story in this book, a clear, vivid and occasionally even beautiful portrait of a scientific breakthrough: the tale of how a relatively obscure Scotland-based physicist developed a stunning theory, one that would help illuminate the invisible, particulate web that holds our universe together. And how in the following decades, the research community would argue, debate, build and expand on his idea, setting out on a quest to confirm the existence of the Higgs boson and with it our own understanding of the universe.

At a basic level, Higgss theory belongs to a fundamental and puzzling question: Where does the mass of the universe come from? Using the known rules of physics, from electromagnetism to quantum mechanics, Higgs raised the possibility of an unstable subatomic particle that, through a series of fizzing interactions, could lend mass to other particles. He predicted this particle would be a boson a notably massive subatomic particle that helps hold matter together and that it would exist in an energy field that enabled the interactions. Higgs suggested a path to confirming the existence of the boson and the eventual measurement of its decay products. In doing so, Close writes, the theory issued a subtle challenge: Is this just a clever piece of mathematics or does nature really work this way?

Close uses that question as a launching point, taking the reader through much of the history of particle physics and introducing the key players, the insights by others in the field who moved the ideas forward and the eventual decision to build a machine in Switzerland the Large Hadron Collider to test the possibilities. The LHC would find confirmation for the bosons decay products in 2012. Close brings to this story an insiders knowledge and a combat-ready willingness to defend Higgs against his occasional critics, at one point dismissing the high-profile British physicist Stephen Hawking as a man with a singular genius for playing the media.

In other words, this is a very human telling of the ways that weve figured out at least some of the mysteries of our universe since the mid-20th century. What does the discovery reveal about the cosmos and our place in the universe? Close wonders, and he ends his book on a note of additional mystery, reminding us that there are great achievements in physics to come and that tantalising questions still shine in front of us, their answers still out of reach, ever elusive.

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Thinking Like a Scientist Will Make You Happier – Nautilus

June 20, 2022 | Author: admin

Jim Al-Khalili has an enviable gig. The Iraqi-British scientist gets to ponder some of the deepest questionsWhat is time? How do natures forces work?while living the life of a TV and radio personality. Al-Khalili hosts The Life Scientific, a show on BBC Radio 4 featuring his interviews with scientists on the impact of their research and what inspires and motivates them. Hes also presented documentaries and authored popular science books, including a novel, Sun Fall, about the crisis that unfolds when, in 2041, Earths magnetic field starts to fail. His latest book, The Joy of Science, is his response to a different crisis.

The Joy of Science was motivated by this sense that a lot of us have, that public discourse is becoming increasingly polarized, Al-Khalili tells Nautilus. There seems to be a rise in irrational, anti-scientific thinking, and conspiracy theories. And theres no room for debate, particularly amplified by the internet and social media. His message is that we should all be thinking more critically. If we could export some of the ideas of science, when science is done well, into everyday life, I think we would all be happier, more empowered.

Al-Khalili tells me that doling out advice is quite the departure for him. But after a long career in physics and science communication, he says with a laugh, Ive reached that stage where I arrogantly think I can impart wisdom to the world. In our interview, Al-Khalili discusses, among other things, the unprecedented level of cognitive dissonance nowadays, whats wrong with Occams razor, and whether ideological thinking conflicts with a scientific mindset. He also defends scientific realism, and walks me through a puzzle about light that Einstein dreamt up as a teenager.

What drove you to write a book about living by the scientific method now?

We are bombarded by information all the time, and your average person really doesnt know who or what to trust. But we can learn to know who and what to trust. We can employ some of the ways that we do scienceexamining biases, the importance of uncertainty, being prepared to change your mind in the light of new evidence. Those sorts of things go against human nature because we want to be right about our opinions. We dont like to be told we are wrong. But thats not the way we do things in science.

Do you have a memorable example of a scientist admitting they made a mistake?

I have a lovely story. A few years ago, I made a documentary for the BBC called Gravity and Me. Wed finished filming, and I was due to go into the studio to do the voiceover, and it was due to be aired on British TV a few weeks later, and we discovered that Id made a mistake. I was trying to explain the idea of clocks running at different rates in Earths gravity. Because time runs slower, not just when you travel close to the speed of light, but also when you are in a strong gravitational field. We went back to the BBC and said, Look, hold on to the transmission. Weve made a mistake. And they said, Fine. Well do that. Reshoot all the stuff that you got wrong and put in the correct stuff and that will be the wiser.

And I said, Actually, this is a really good opportunity to explain how science works and that we do make mistakes and that its okay to make mistakes. How about if I make it as part of the documentary? I say, Unfortunately, at this point I realized Id got it wrong and in fact, its such and such.' And the guys at BBC, the commissioning editor, were quite nervous about this. They said, Oh, Jim, we are concerned about your reputation as a professor of physics if you admit your mistake publicly like that. I said, Well, clearly you dont understand how science works. Its not something to be ashamed of to admit you are wrong.

And I stood by my guns and we absolutely made sure that was part of the documentary. I was getting emails from people after, saying, Oh, Jim, youre so brave to admit your mistake. I said, No. Its great. I mean, thats how we learn, thats how we do science. Theres nothing wrong with that.

Science is carried out and funded by humans with various biases and motives. But would you say it still is a uniquely trustworthy enterprise?

This is not an easy issue. Science of course is very broad. In my area of research in theoretical physics, to a large extent it is value-free. The equations of quantum mechanics that I might come up with or write down will be exactly the same, whether theyre discovered by physicists in China or Russia. Theres a universality about the laws of physics that transcend cultures and political ideologies. But of course there are lots of areas of science, particularly in the social sciences, dealing with the complexity of human behavior, where its difficult to avoid value judgements and biases. And thats just the way scientists have to behave, to try and remove biases, or examine their own biases.

Einstein believed theres a real world out there and its sciences job to get as close as we can to that truth.

Its even more difficult for the wider public, who are not trained in science, to know who to trust and what to trust. You see something on YouTube or you read an article onlinehow do you know (a) whether its good science and its based on firm evidence and data, and (b) whether whoever is getting that idea across has their own vested interests? Many scientists work for corporations and industry, in the pay of people who do have other vested interests, so it is difficult.

My message is that you shouldnt take a lot of these ideas at face value. We have to invest some effort into digging in to find out whether something comes from a reputable source or not. To some extent, we may have to rely on technology to help us do that filtering. But even that comes with its dangers. Whos creating the AI thats telling you what is fake news and what is good news? As a society, we have to have this discussion because we need to know how to discriminate among all the information that we are being bombarded with every day.

How confident are you that AI can be relied on to show us trustworthy information?

Well, Im quite nervous about how well we can utilize AI. But we are going to have to use AI to help us filter the trustworthy information from the misinformation and disinformation. But the problem is, who creates that AI algorithm? If its Google or Facebook that is filtering what we receive, and they say, Look, weve removed all this other stuff because thats misinformation. Well, who says? Is that AI built by someone with an ideological stance? Were going to have to figure out ways of making sure that AI is completely neutral on this matter. Maybe its providing us with a forum where we can debate things a bit more rationally and civilly than we are at the moment. Theres too much information out there for us as a society to develop our own rational skills to decide for ourselves. Were going to have to make use of technology, but we have to be very careful about how we implement it.

How helpful is Occams razorthe idea of favoring simple explanationsin deciding where to place our trust?

William of Occam was this medieval monk who actually lived very near to my university, University of Surrey in England, and the razor thats named after him is simply that if you have lots of different explanations, chances are the simplest one is the right one. That served us well in science, but there are dangerous pitfalls because things arent always as simple as wed like them to be. And when you apply that in everyday life, its even more problematic because we are living in a world now where we want the simplest explanation.

Dont blind me with details. This is what I believe, this simple idea. And this is what Im going to go with. Very often, issues that we have to deal with in everyday life are more complicated. Not everything can be reduced to a meme or a tweet. And yet we see the problems we have today, with the polarization of ideologies, particularly on social media, where each side is so absolute and certain in their position, and they dont want to acknowledge that actually an issue is more complex, more complicated, more nuanced.

How would you revise Occams razor?

Maybe, Its not the simplest explanation that is the right one, but the most useful explanation. It could be that sometimesand certainly in science if we want to describe a conceptit is more complicated than wed like it to be, and we have to acknowledge that and bite that bullet.

In the book, you mention a thought experiment that Einstein, as a teenager, came up with to get a handle on the unintuitive behavior of light. He wondered: If you were traveling at the speed of light, holding a mirror in front of your face, would you see your reflection? How do you answer that?

The issue is if you are flying at the speed of light and the mirror is in front of you, to see your face reflected in the mirror, light has to bounce off your face, onto the mirror, and then back into your eyes again. But if you are traveling at the speed of light, how can light ever overtake you, reach the mirror and come back again?

The answer is, Yes, we will always see our reflection because Einsteins theory of relativity tells us that all motion is relative. Im traveling at the speed of lightaccording to what reference? There will always be a frame of reference in which I can say, Im not moving at all. And this is Einsteins great breakthrough in 1905, his special theory of relativity, which says that the speed of light is absolute. It doesnt matter how fast youre moving, you will always see light traveling at that same speed, the maximum speed in our universe.

Learn that theres no shame in changing your mind in the light of new information.

And so me flying, holding a mirror in front of my face, will be no different to me standing still holding a mirror in front of my face. I always see my reflection. Relativity theory forces us to rethink the notion of distances and time intervals. The example I always give to my students is, if I shine a torch out into the sky, so the light from the torch is traveling at the speed of light away from me, here standing on Earth, and then you, Brian, jump in a rocket and fly off at, say, 99 percent of the speed of light, trying to catch that light beam traveling parallel to it, I would see the light beam overtaking you, slowly at 1 percent of the speed of light, because you arent going nearly as fast as it and that also makes logical sense. But for you in the rocket, you see that same light beam going past you, at the same speed that I see it leaving my torch. So something has to give, and what gives is our notion of the flow of time.

I would see your time as running much more slowly than mine. Your seconds are ticking by slowly. Thats why you see the light beam going past you very quickly, because your time is running slower. One second for you, the light beam has gone past you very quickly, but for me I can see it creeping past. So the notions of distance and time change. And thats where relativity theory becomes counterintuitive and fun to teach.

Do you think we can know reality, the world out there, as it truly is, or is it more complicated than that?

This is an age-old question and it particularly came to the fore a century ago with the development of quantum mechanics: the most counterintuitive idea in science, the theory of the subatomic world. Famously there were long-running debates between the leading physicists of the time, Einstein versus the Danish physicist Niels Bohr. Einstein was a realist. He believed theres a real world out there and its sciences job to get as close as we can to that truth. In The Joy of Science, I lay my cards on the table. I would side with Einstein on that one. We may never reach it, but the world is the way it is. We cant make up our own narrative. We cant decide on our own reality. But Niels Bohr, the father of quantum mechanicsthe guy was a geniuswould argue that the job of science isnt to find out how the world is, because we can never find out how it is. The job of science is to see what we can say based on what we see, our perception, of how the world is. We can never say how the world really is.

Do you feel like thats a cop out?

Yes. We should say theres a real world out there, and its our job to try and find ways of breaking out from the models that we create in our mindsthe reality that we construct in our mindsthat we hope reflects what the real world is like. I dont see any reason why we should absolve ourselves from that responsibility.

Why do you say that cognitive dissonance is far more serious in our modern culture and times than it has ever been?

Cognitive dissonance, the idea that well have a view and then well be confronted with something that goes completely against it, is something that happens to us on a daily basis. Pre-internet, we tended to read the newspaper or get our news from a source that we felt that aligned with our worldview. To a large extent, we still do that now, but what has changed is that the internet and social media and YouTube have amplified the problem, because we are now exposed to the opposing views in a very real way, far more than wed ever been before. Confirmation bias, you like to hear what you already believe in, was much easier in the past. Life was simpler.

Today we are confronted with having to deal with information coming from across the whole spectrum, for any particular issue, whether its political, ideological, or religious. And we adopt a defense mechanism against that, which is to reject the views that we dont like, that we dont agree with. And my argument is, Hang on. Dont be so hasty in rejecting it, however uncomfortable it makes you feel. Learn that theres no shame in changing your mind in the light of new information.

The term ideology comes up quite a bit in your book. Would you say people should generally avoid making ideological commitments if they want to think about things more scientifically?

I dont think so. Ideology can mean anything. Some people even refer to science as an ideology. There are certain beliefs in science, whether you believe in the many-worlds interpretation of quantum mechanics or not, that become almost like an ideology. But no, this is part of human nature, that we have a worldview. We have a political view. We have a moral compass. We believe something is right and something is wrong. This changes, of course. What was acceptable a hundred years ago clearly isnt acceptable now and vice versa. So, holding ideological views is absolutely part of the human condition. Its just that we should try a bit harder to examine and question why we hold those ideological views and not be so certain, so absolute about them.

Why should we question our motives for believing what we think is true?

Its the way we do things in science. We constantly test our own ideas and because we know if we are wrong about something, other scientists eventually will discover it. Of course, some scientists will stick to their guns no matter what, but they dont last long. Those ideas dont survive very long. Just because you want something to be true or you want something to be correct, doesnt make it so. I think its a nice lesson that wider society could adopt. Being able to admit you are wrong, to change your mind, in science is a strength, unlike in politics, where its regarded as a weakness, right? Politicians dont like to admit mistakes or that theyre wrong. Wouldnt it be refreshing if they could say, Oh, actually. No, youve got a good point there. Ive changed my mind. I now think this.

Has your joy of science changed at all as youve gotten older and learned more?

Probably, it has increased rather than diminished. I dont feel theres going to come a time where I say, Okay, Im done with science. I want to go and play golf or travel around the world. I want to be able to do that, of course, but I dont think my love for science will diminish at all. I dont plan to retire, much to my wifes annoyance.

Brian Gallagher is an associate editor at Nautilus. Follow him on Twitter @bsgallagher.

Lead image: Intararit / Shutterstock

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Global Mobility Call becomes the cornerstone for business and governments to build the future sustainable mobility – PR Newswire

June 20, 2022 | Author: admin

Global Mobility Call brought together more than 4,500 on-site attendees and 13,000 online attendees from 40 countries, with more than 1.3 million views of the live programme. In addition, 250 journalists have covered the more than 100 multi-sector dialogues, where over 300 panelists, representatives from public and private sectors, entrepreneurs, academics and experts have presented proposals, ideas, reports and reflections on the rapid processes of changes in mobility.

Among the main conclusions was the need to carry out national and international projects that promote digitalisation, decarbonisation, connectivity, intermodal and multimodal transport, industrial transformation, urban design, improvement of rural transport, funding and professional services.

The President of the Spanish Government, Pedro Snchez, closed the Global Mobility Call by stating that this forum "is the best example of the capacity for resilience, ambition to transform, the essential collaboration between the public and private sectors, the strength of companies and of Spanish society as a whole. Both private and public sectors share a special ability to face difficulties and adapt to new scenarios".

He has underlined that the uncertainties provoked by the war "should not delay" the sustainable mobility transformation.

In closing the event, the President of the Executive Committee of IFEMA MADRID, Jos Vicente de los Mozos, explained that these days at Global Mobility Call have shown "the inspiration and the keys to enter into business of enormous proportions, for which priority is to access recovery funds", while the event has generated "content and professional networking, which will translate into a real boost for sustainable mobility".

"We have to process the vast content and contacts of highest interest which have been produced during these days. It will be our job to organise and make this important legacy available to the different sectors and the thousands of professionals who have participated in Global Mobility Call", he said.

Global Mobility Call has responded to the need to bring together all mobility actors at a time of profound transformation. The need to act on both climate and energy crises, seizing the opportunity provided by the EUR 800 billion NextGenerationEU European recovery funds, has made Global Mobility Call an unprecedented opportunity to shape the future of a decarbonised, safe, digitised mobility, which respects the planet and the people's health, aligned with the Sustainable Development Goals, the Paris Agreement and the European Green Pact.

Among the panellists, Jeffrey Sachs, American economist and specialist in sustainable development, called for further digital development of mobility and insisted that this be approached as an integrated ecosystem of sectors, just as Global Mobility Call does.

Clotilde Delbos, CEO of Mobilize, stressed the need to work towards providing users with mobility services tailored to their needs.

Michio Kaku, physicist and futurist, predicted how the quantum physics of the future will generate computers that will connect to the brain and the robotisation of the automotive industry.

Adina Vlean, European Commissioner for Transport, highlighted the opportunity presented by the Next GenerationEU Funds to boost projects in many of Europe's mobility sectors. It was also stressed that it is important to make this coincide with the drive for energy transition, to make Europe less dependent on fossil fuels.

Monica Araya, Climate Mobility Advisor and member of the ClimateWorks & Partners' Steering Committee suggested incorporating into the sustainable mobility agenda the questions of generating employment, fostering talent and economic value, at a time when countries are trying to remain within supply chains, and society is very anxious about the climate crisis and the retraining of labour in many sectors.

Urban planner and MIT professor Carlo Ratti called for reflection on deep structural changes in the mobility of people, jobs and products, at a time of disruption accelerated by the Covid crisis and war.

More information: https://www.ifema.es/en/global-mobility-call/

CONTACTS: Marta Cacho, Directrice de la Communication, [emailprotected]Elena Valera, Presse Internacionale, [emailprotected]

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SOURCE Global Mobility Call

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Can the Future Reach Back and Affect the Past? – Walter Bradley Center for Natural and Artificial Intelligence

June 20, 2022 | Author: admin

If the future influenced the past, that would be retrocausality. As Victor Bhaura puts it,

Retrocausality means that, when an experimenter chooses the measurement setting with which to measure a particle, that decision can influence the properties of that particle (or another one) in the past, even before the experimenter made their choice. In other words, a decision made in the present can influence something in the past.

Bhaura reminds us of a limerick called Relativity from 1923:

There was a young lady named BrightWhose speed was far faster than light;She set out one dayIn a relative wayAnd returned on the previous night.

Now, if Bright was exceeding the speed of light, she was already violating the laws of physics for entities as large as ourselves and she could well end up going backward in time, according to philosopher of mathematics Sam Baron.

But, as Bhaura has noted, quantum particles do not follow such rules. In 2019, scientists showed that time travel is theoretically possible by sending a simulated particle back in time via a quantum computer. A quantum computer doesnt use 1s and 0s (bits) but rather qubits, which are simultaneously 1s and 0s. Thats much faster. Yes, quantum systems can do that. Its why Albert Einstein called them spooky.

Since quantum mechanics is about probability (not certainty), success was no guarantee. However, in a two-qubit quantum computer, the algorithm managed a time jump an impressive 85 percent of the time. When it was upped to three qubits, the success rate dropped to about 50 percent, which the authors attributed to imperfections in current quantum computers.

The particle was simulated because the amount of force required to send an actual particle back in time exceeded natural capabilities:

This experiment also shows us that sending even a simulated particle back in time requires serious outside manipulation. To create such an external force to manipulate even one physical particles quantum waves is well beyond our abilities.

We demonstrate that time-reversing even ONE quantum particle is an unsurmountable task for nature alone, study author Vinokur wrote to the New York Times in an email [emphasis original]. The system comprising two particles is even more irreversible, let alone the eggs comprising billions of particles we break to prepare an omelet.

Thats the reason that time travel into the past, as in H. G. Wellss The Time Machine, is impractical. It may also be futile if the object is to change anything because that is unlikely to be possible.

Meanwhile, in 2021, another team of physicists offered calculations proposing that quantum particles can move forward as well as backward in time again because of quantum superposition:

According to the principle of quantum superposition, individual units ( for instance, of light) can exist in two states at once, both as waves and particles, manifesting as one or the other depending on what youre testing. Rubinos team looked at a quantum superposition with a state that evolves both backward and forward in time. Measurements showed that more often than not, the system ended up moving forward in time. But for small entropy changes, the system could actually continue to evolve both forward and backward in time.

The paper is open access.

Team leader Giulia Rubio stresses, that still wouldnt move us. But there may be another way, as we shall see Christian apologist C.S. Lewis (18981963), who read and wrote science fiction, pointed out that the present and future can change the past. If we assume that God exists and God is not in time, an action taken now could influence an event in the past. He offers an illustration:

When we are praying about the result, say, of a battle or a medical consultation the thought will often cross our minds that (if only we knew it) the event is already decided one way or the other. I believe this to be no good reason for ceasing our prayers. The event certainly has been decided in a sense it was decided before all worlds. But one of the things taken into account in deciding it, and therefore one of the things that really cause it to happen, may be this very prayer that we are now offering.

Thus, shocking as it may sound, I conclude that we can at noon become part causes of an event occurring at ten oclock. (Some scientists would find this easier than popular thought does.) The imagination will, no doubt, try to play all sorts of tricks on us at this point. It will ask, Then if I stop praying can God go back and alter what has already happened? No. The event has already happened and one of its causes has been the fact that you are asking such questions instead of praying. It will ask, Then if I begin to pray can God go back and alter what has already happened? No. The event has already happened and one of its causes is your present prayer. Thus something does really depend on my choice. My free act contributes to the cosmic shape. That contribution is made in eternity or before all worlds; but my consciousness of contributing reaches me at a particular point in the time-series.

There is another way in which the present can change the past. Suppose a woman has made rather a mess of her life and reaches a crisis point. Two possibilities: 1. She gives up and sinks further into misery and despair. 2. She decides to seek help and, on getting it, turns her life around becoming, in time, a support to others.

As she looks back on her life in the first scenario, she will see a bleak, grim born to lose picture, punctuated by disasters, the worst of which was perhaps that crisis point, after which she just gave up

In the second scenario, looking back from some years distance, she sees a very different past: That crisis point is the moment I decided, I to do whatever it takes to free myself! All the other events of note are now remembered as steps, forward or backward, on a journey to a more meaningful life.

Perhaps thats one of the roles that free will plays in our lives. It changes the past not by changing the events but by making them mean different things. And after all, the main reason we care about the past is its meaning. So there is a sense this sense in which we can really travel back and change the past, by changing its meaning.

You may also wish to read:

A form of time travel that might be possible In world of entropy, time runs in one direction and reversing it would create impossible contradictions, physicists say. The time travel that is likely to be possible would be like having a very good four-dimensional memory it recreates events but it doesnt change them.

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Can the Future Reach Back and Affect the Past? - Walter Bradley Center for Natural and Artificial Intelligence

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Bragar Eagel & Squire, PC Reminds Investors That Class Action Lawsuits Have Been Filed Against IonQ, Energy Transfer, Digital Turbine, and Teladoc…

June 20, 2022 | Author: admin

NEW YORK, June 19, 2022 (GLOBE NEWSWIRE) -- Bragar Eagel & Squire, P.C., a nationally recognized shareholder rights law firm, reminds investors that class actions have been commenced on behalf of stockholders of IonQ, Inc. (: IONQ), Energy Transfer LP (: ET), Digital Turbine, Inc. ( APPS), and Teladoc Health, Inc. (: TDOC). Stockholders have until the deadlines below to petition the court to serve as lead plaintiff. Additional information about each case can be found at the link provided.

IonQ, Inc. (: IONQ)

Class Period: March 20, 2021 May 2, 2022

Lead Plaintiff Deadline: August 1, 2022

On May 3, 2022, Scorpion Capital released a research report alleging, among other things, that IonQ is a scam built on phony statements about nearly all key aspects of the technology and business. It further claimed that the Company reported [f]ictitious revenue via sham transactions and related-party round-tripping.

On this news, the Companys stock fell $0.71, or 9%, to close at $7.15 per share on May 3, 2022, on unusually heavy trading volume.

The complaint filed in this class action alleges that throughout the Class Period, Defendants made materially false and/or misleading statements, as well as failed to disclose material adverse facts about the Companys business, operations, and prospects. Specifically, Defendants failed to disclose to investors: (1) that IonQ had not yet developed a 32-qubit quantum computer; (2) that the Companys 11-qubit quantum computer suffered from significant error rates, rendering it useless; (3) that IonQs quantum computer is not sufficiently reliable, so it is not accessible despite being available through major cloud providers; (4) that a significant portion of IonQs revenue was derived from improper round-tripping transactions with related parties; and (5) that, as a result of the foregoing, Defendants positive statements about the Companys business, operations, and prospects were materially misleading and/or lacked a reasonable basis at all relevant times.

For more information on the IonQ class action go to: https://bespc.com/cases/IONQ

Energy Transfer LP (: ET)

Class Period: April 13, 2017 December 20, 2021

Lead Plaintiff Deadline: August 2, 2022

Energy Transfer is a Delaware company headquartered in Dallas, Texas. Energy Transfer is a company engaged in natural gas and propane pipeline transport. It was founded in 1996 and became a publicly traded partnership in 2006. The Partnership through its subsidiaries provides transportation, storage, and terminalling services for products like natural gas, crude oil, NGL, and refined products. The Partnership also constructs natural gas pipelines through its various subsidiaries.

On April 13, 2017, the horizontal directional drilling activities ("HDD") for the Rover Pipeline Project, one of the Partnership's natural gas pipeline construction projects, caused a large inadvertent release of drilling mud near the Tuscarawas River in Ohio. On August 8, 2019, Energy Transfer filed its quarterly report on Form 10-Q with the SEC, reporting the Partnership's financial and operating results for the second quarter ended June 30, 2019. This quarterly report disclosed that two years earlier, in mid-2017 the Federal Energy Regulatory Commission ("FERC")'s Enforcement Staff began a formal investigation "regarding allegations that diesel fuel may have been included in the drilling mud at the Tuscarawas River HDD." On this news, the price of Energy Transfer stock declined $0.65, or 4.6% over two trading days, to close at $13.38 on August 12, 2019.

Then, on December 16, 2021, FERC publicly issued to Energy Transfer the Order To Show Cause and Notice of Proposed Penalty, which directed the Partnership to show cause why it should not be assessed a civil penalty in the amount of $40,000,000. The order presented the allegation by the Enforcement Staff that the HDD crews intentionally included diesel fuel and other toxic substances and unapproved additives in the drilling mud during its HDDs under the Tuscarawas River. On this news, the price of Energy Transfer shares declined $0.24, or 2.8% over the course of two trading days, to close at $8.25, on December 20, 2021.

The Complaint alleges Energy Transfer concealed and misrepresented that: (a) Energy Transfer had inadequate internal controls and procedures to prevent contractors from engaging in illegal conduct with regards to drilling activities, and/or failed to properly mitigate known issues related to such controls and procedures; (b) Energy Transfer through its subsidiary hired third-party contractors to conduct HDDs for the Rover Pipeline Project, whose conduct of adding illegal additives in the drilling mud caused severe pollution near the Tuscarawas River when the April 13 Release took place; and (c) Energy Transfer continually downplayed its potential civil liabilities when FERC was actively investigating the Partnership's wrongdoing related to the April 13 Release and consistently provided it with updated information about FERC's findings on this matter.

For more information on the Energy Transfer class action go to: https://bespc.com/cases/ET

Digital Turbine, Inc. ( APPS)

Class Period: August 9, 2021 May 17, 2022

Lead Plaintiff Deadline: August 5, 2022

Digital Turbine is a software company that delivers products to assist third parties in monetizing through the utilization of mobile advertising. The Company completed the acquisitions of AdColony Holdings AS (AdColony) and Fyber N.V. (Fyber) on April 29 and May 25, 2021, respectively.

On May 17, 2022, Digital Turbine issued a press release revealing that it will restate its financial statements for the interim periods ended June 30, 2021, September 30, 2021, and December 31, 2021, following a review of the presentation of revenue net of license fees and revenue share for the Companys recently acquired businesses."

On this news, the Companys shares fell $1.93, or 7.1%, to close at $25.28 per share on May 18, 2022, on unusually heavy trading volume.

The complaint filed in this class action alleges that throughout the Class Period, Defendants made materially false and/or misleading statements, as well as failed to disclose material adverse facts about the Companys business, operations, and prospects. Specifically, Defendants failed to disclose to investors: (1) that the Companys recent acquisitions, AdColony and Fyber, act as agents in certain of their respective product lines; (2) that, as a result, revenues for those product lines must be reported net of license fees and revenue share, rather than on a gross basis; (3) that the Companys internal control over financial reporting as to revenue recognition was deficient; and (4) that, as a result of the foregoing, the Companys net revenues was overstated throughout fiscal 2022; and (5) that, as a result of the foregoing, Defendants positive statements about the Companys business, operations, and prospects were materially misleading and/or lacked a reasonable basis.

For more information on the Digital Turbine class action go to: https://bespc.com/cases/APPS

Teladoc Health, Inc. (: TDOC)

Class Period: October 28, 2021 April 27, 2022

Lead Plaintiff Deadline: August 5, 2022

Teladoc provides virtual healthcare services in the U.S. and internationally through Business-to-Business (B2B) and Direct-to-Consumer (D2C) distribution channels. The Company offers its customers various virtual products and services addressing, among other medical issues, mental health through its BetterHelp D2C product, and chronic conditions.

Teladoc touts itself as the first and only company to provide a comprehensive and integrated whole person virtual healthcare solution that both provides and enables care for a full spectrum of clinical conditions[.] Despite recent market concerns over new entrants to the telehealth field, such Amazon.com, Inc. (Amazon) and Walmart Inc. (Walmart), the Company has continued to assure investors of the Companys dominant market position in the industry.

In fact, as recently as February 2022, Teladoc forecasted full year (FY) 2022 revenue of $2.55 - $2.65 billion, as well as adjusted earnings before interest, taxes, depreciation, and amortization (EBITDA) of $330 - $355 million, on anticipated continued growth through its competitive advantages.

Throughout the Class Period, Defendants made materially false and misleading statements regarding the Companys business, operations, and prospects. Specifically, Defendants made false and/or misleading statements and/or failed to disclose that: (i) increased competition, among other factors, was negatively impacting Teladocs BetterHelp and chronic care businesses; (ii) accordingly, the growth of those businesses was less sustainable than Defendants had led investors to believe; (iii) as a result, Teladocs revenue and adjusted EBITDA projections for FY 2022 were unrealistic; (iv) as a result of all the foregoing, Teladoc would be forced to recognize a significant non-cash goodwill impairment charge; and (v) as a result, the Companys public statements were materially false and misleading at all relevant times.

On April 27, 2022, Teladoc announced its first quarter (Q1) 2022 financial results, including revenue of $565.4 million, which missed consensus estimates by $3.23 million, and [n]et loss per share of $41.58, primarily driven by [a] non-cash goodwill impairment charge of $6.6 billion or $41.11 per share[.] Additionally, the Company revised its FY 2022 revenue guidance to $2.4 - $2.5 billion and adjusted EBITDA guidance to $240 - $265 million to reflect dynamics we are currently experiencing in the [D2C] mental health and chronic condition markets. On a conference call with investors and analysts that day to discuss Teladocs Q1 2022 results, Defendants largely attributed the Companys poor performance, revised FY 2022 guidance, and $6.6 billion non-cash goodwill impairment charge to increased competition in its BetterHelp and chronic care businesses.

On this news, Teladocs stock price fell $22.48 per share, or 40.15%, to close at $33.51 per share on April 28, 2022.

For more information on the Teladoc class action go to: https://bespc.com/cases/TDOC

About Bragar Eagel & Squire, P.C.:

Bragar Eagel & Squire, P.C. is a nationally recognized law firm with offices in New York, California, and South Carolina. The firm represents individual and institutional investors in commercial, securities, derivative, and other complex litigation in state and federal courts across the country. For more information about the firm, please visit http://www.bespc.com. Attorney advertising. Prior results do not guarantee similar outcomes.

Contact Information:

Bragar Eagel & Squire, P.C.Brandon Walker, Esq. Melissa Fortunato, Esq.(212) 355-4648[emailprotected]www.bespc.com

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Creating a powerful data department with data science – VentureBeat

June 20, 2022 | Author: admin

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. Register today!

Advice & FAQs from Founders Factory data scientist Ali Kokaz.

Search data science online, and you will find an unending trove of technical tutorials and articles, ranging from how to ingest spreadsheet data, to building a multilayer perceptron for image recognition. However, data science is much more than simply building a complex algorithm: its also about empowering your business by creating a culture of data-driven decision-making.

Indeed, as Hal Varian, Googles chief economist, said back in 2009: The ability to take data to be able to understand it, to process it, to extract value from it, to visualize it, to communicate it thats going to be a hugely important skill in the next decades.

Today, speak to any business leader and nearly all will say that data science is a critical focus for their organization. Yet the reality is theyre struggling recent research shows many firms are unfit for data, for a myriad of reasons including organizational capability, lack of talent, poor quality data and collection processes, to name a few.

So what does it take to build a truly effective data science function?

From understanding what it means to be a data-driven organization, to conducting successful data science projects, Ive compiled the guide below using 16 FAQs I often face when helping businesses work through their data challenges.

As Tim Berners-Lee, inventor of the World Wide Web once said: Data is a precious thing and will last longer than the systems themselves.

In a nutshell, data science is the process and ability to turn raw data into information and insights to inform your business decisions. Without it, you are making decisions blind, or based on opinions and assumptions, rather than facts.

Data science can also be used to help identify opportunities, meaning you can find extra user growth, or revenue streams, by understanding your customers and markets more deeply. You can also use data science to help automate or reduce the overhead of certain processes, like evaluating and processing loan applications for a challenger bank, meaning you can cut costs and set the business up to scale.

This is largely the reason why companies are now pouring money into their data storage, analytics and science capabilities to improve operations and decision-making. It is no surprise that some of the biggest winners of the last decade were essentially data companies, like Google or Facebook, as well as less specialized examples like ASOS, who heavily optimize their shopping experience through data. Essentially, those that fail to invest in this area will quickly be left behind.

Without data youre just another person with an opinion, were the wise words of famous statistician W. Edwards Deming, which gets to the crux of what data-driven organizations are.

A data-driven organization is one that uses data to drive business decisions and processes, meaning they are informed when making choices, and decide things in a factual manner, rather than simply based on opinions and anecdotes.

For example, at my previous workplace a leading data management consultancy business decisions that needed to be made had to be backed up with data evidence, with projects prioritized based on data around how much impact they will have. That type of informed decision-making was pivotal, meaning we were so much more well-informed before undertaking work.

Creating a data-driven organization requires two foundations:

A major factor underlying these foundations is consistent vocabulary, terminology and semantics across the organization, and stressed importance on why good data is vital for this to work this is so that employees collect and store data properly rather than seeing it as another chore on their to-do list.

This is pivotal to the success of a data department within any organization. There are a few steps I take within my department to ensure this happens:

A fundamental part of building an effective DS team is to set out how youre going to measure success. This is where critical business KPIs come into play! Its always important to make sure you measure the success of the data team directly in relation to business goals. For example, this could be the number of customers gained through data science projects or time saved through automation.

You could also measure the interaction of the business with the data outputs as a measure of success. For instance, how many people are using the dashboards and reports the team has built? What decisions are being made off the back of them?

Typically, part of the project-definition process is defining success criteria. When these are hit, a project can be seen as achieving its targets; hence using these as KPIs can also be helpful.

In many aspects, this statement makes a lot of sense. However, a good data science project to me is one that produces the biggest impact on the business, in the shortest amount of time, and continues to drive business impact moving forward.

Working with various businesses, Im always most concerned with the impact a project has, rather than the accuracy, quality or performance of the model in a project.

Id also like to caveat that with the fact that fastest is not always best. Taking slightly longer with a project to future-proof or productionize more efficiently can pay off more in the longer term.

As companies collect ever more data about their customers and their product usage behaviors, a rising challenge facing many businesses is how to analyze this data to derive useful insights.

Before undertaking any project, I always start with the questions below to inform planning and objectives:

I cannot overstate the importance of this! When I work with startups, one of my first tasks is aligning on terminology, but it should be established for any team for the following reasons:

A well-defined workflow for data science applications is a great way to ensure that various teams in the organization remain in sync, which helps to avoid potential delays, financial loss, and especially projects going sideways without conclusive success or failure.

There are several suggested workflows currently in circulation, with many building on existing frameworks in other data fields, such as data mining. While theres no one-size-fits-all solution to all data science projects, often components depend on the company and team objectives. In my experience, there are certain steps that should be ubiquitous in all data science teams, accompanied by common approaches. These include:

Data science and related fields of AI and machine learning are challenging assumptions upon which societies are built. The more data a business collects, the more powerful the organization is relative to the individuals.As a result, this presents a number of ethical challenges to be aware of when building data products, which include:

For further reading, its worth checking out Googles numerous blogs on fairness.

This really depends on the use case, but the majority of the time, no. Data for insights is only useful in sensible aggregation, and not on a personal level. Usually, a middle ground is reached where some PII is collected that has been agreed is useful (such as address) but not all.

First and foremost, you should securely store the sensitive data separately and limit access to this through correct permissioning and requesting. The remaining informative data can be open, with identifying data being anonymized (using a random user_id, for example). You could also impose transparency of what the data is being used for, ensuring data is only used for the reasons stated by stakeholders or the business.

Other things you can do include policies to limit accessibility, by setting minimum granularity on dashboards, for example. You can revisit these policies regularly as the business grows.

Scaling a data science team effectively is more than just hiring great people. In my experience, there are multiple areas and things you need to consider and maybe alter, including:

When thinking about building a team, its vitally important to think about the overall skillset of the team, rather than simply what each team member brings individually. There are multiple methods and approaches you can use to define what the team needs to look like, but thats a whole other guide! But what common skills/traits do I look for within any team member?

Some others to consider also include:

When working, especially in a smaller business, you will spend a large amount of time with that person, its important to try and understand whether that individual will fit in with the rest of the team, but also if they will enjoy working there. I usually do this in the form of two chats one at the start of the recruiting process and one at the end.

The reason for splitting into two is I want to see how the candidate behaves around new people, and then how they perform in front of someone they are now more comfortable with. Does their attitude change? Now they are more comfortable at the end of the process, its a chance to see if they are naturally more introverted/extroverted. Does their professionalism change?

My questions also revolve around previous experience how did they act with previous colleagues? What do they say about previous employers? What did they enjoy? What did they not enjoy?

I also use this as an opportunity to understand more about their aspirations where do they want to be? What do they want to develop? What do they look for in a role?

For culture fit, I try to involve at least one other member from the team to see how they get on. An important point here is you need to find someone right for the team, an introvert in an extroverted team wont work well and vice versa.

Typically, Ill split this into two parts:

Here, Im looking at how they approach a problem, hence a time-limited exercise means they cannot create the most complex solution, so they will have to make decisions on what to simplify. How do they assess these trade-offs? How do they communicate them? Do they identify and communicate caveats? How do they link the problem to the business? Do they try to understand the impact of the outcomes?

If I need to drill further into technical ability, I use this as an opportunity to discuss what they would have done if they had more time. What do they know about a specific topic? How in-depth is their knowledge?

I am assessing this throughout the whole interview process, especially through the take-home task stage. How do they present their work? What medium do they use? Do they cover all aspects of a project or a problem? Can they describe complex concepts clearly? In a non-technical way? Do they listen intently to my questions? Do they take time to think about an answer? Do they try to clarify questions?

I usually also reserve a few questions about how they got on with their teams and previous presentations and how did they build rapport with the business? How much contact did they have? Ask them to talk me through a good presentation they had.

Another aspect to pay close attention to is cues in their emails. How are they worded? Short? Long? Full of grammar/spelling mistakes? How formal?

This is a complex one, and will vary massively from one individual to the next, but managers still have a huge role to play in keeping staff happy. This is especially important in an area like data science, where employee churn is high, and roles are always available for superstar individuals. From my experience, there are a few areas I think about in terms of team retention:

Data science is a fast-moving field, and many data scientists feel left behind at work if not continuously developing and learning. Set aside regular time for the team to discuss and pursue development opportunities, it can be as simple as setting some time aside every Friday for members to pursue something extracurricular.

One critical thing I have experienced is that a lot of teams have training budgets to allow for courses but do not set aside time for the team members to train in those learned skills. Allow your team time to hone these skills, in addition to paying for attending courses.

Also, feedback is a two-way street. Allow your team to be able to give you feedback, too, so they can inform you how best to manage them and get the best out of them. The one point I never change, however, is where I give this feedback, its always in private, and its always constructive.

As data science becomes an increasingly integral part of any business, navigating the evolving complexities of creating a powerful data engine has never been harder. Yet, shining a light on the common challenges faced by many firms shows that good data science requires a laser-sharp focus on fundamental data principles and ethics, and building a data-driven culture. Those businesses willing to invest the time and resources to become a truly data-driven organization will be positioning themselves for success in the years ahead.

Ali Kokaz is a data scientist at Founders Factory.

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Analytics and Data Science News for the Week of June 17; Updates from MicroStrategy, Qlik, ThoughtSpot, and More – Solutions Review

June 20, 2022 | Author: admin

The editors at Solutions Review have curated this list of the most noteworthy analytics and data science news items for the week of June 17, 2022.

Keeping tabs on all the most relevant data management news can be a time-consuming task. As a result, our editorial team aims to provide a summary of the top headlines from the last month, in this space. Solutions Review editors will curate vendor product news, mergers and acquisitions, venture capital funding, talent acquisition, and other noteworthy data science and analytics news items.

Ahana will use the funding to continue to grow its technical team and product development; evangelize the Presto community, and develop go-to-market programs to meet customer demand. Ahana Community Edition is immediately available to everyone, including users of the 100,000+ downloads of Ahanas PrestoDB Sandbox on DockerHub. Community Edition users can easily upgrade to the full version of Ahana Cloud for Presto as well.

Read on for more.

With Snowpark, Snowflakes developer framework, Snowflake and Anaconda will allow data engineers, data scientists, and developers who prefer using Python as their programming language of choice to take advantage of Snowflakes powerful platform capabilities and securely collaborate on a single platform.

Read on for more.

The availability of these newest integrations marks a new partnership phase for Domino and Snowflake. Through the power of Dominos platform andSnowpark, the developer framework for Snowflake, the companies deliver an end-to-end enterprise data science lifecycle solution on one common data and deployment platform.

Read on for more.

The 6th edition report examines user segment requirements and priorities with a focus on simplified data navigation/access, governance, and content collaboration capabilities. The report concentrates on analytic content (data, models, and metadata), use cases, and users. In 2022, data catalog ranks 15thamong the 51 technologies and initiatives under study.

Read on for more.

This release includes an extension that previews the new interface. Simply click the Open KNIME Modern UI Preview button in the top right corner to check it out. Brand new visualization nodes for exploring data and building data apps are available as a preview in theKNIME Views (Labs) extension. These nodes replace four previous visualization nodes and offer a more consistent experience. The KNIME Python (Labs) Extension now contains its own Python Environment so that you can get started with Python scripting in KNIME right away

Read on for more.

Updates such as advanced text formatting increase customization and unmatched drill-down capabilities, allowing analysts to easily fine-tune narrative coverage and key insights for improved readability. New features empower users with flexibility and control for advanced drill-down and analyses such as time-based variance, target-based variance, trend, and bar chart analyses.

Read on for more.

Qlik enhanced its Cloud Analytics Services for Snowflake with two new features that help customers drive more value from near real-time data when deploying Qliks cloud platform with Snowflake. Qlik also released new and enhanced Qlik Cloud Data Services capabilities for Snowflake. These services expand the ability to both seamlessly feed Snowflake with near real-time data and more easily access data in real-time and action it for decision making across the enterprise.

Read on for more.

The new Snowflake connector enables low-latency, high-concurrency analytics across streaming data from sources such as Apache Kafka, Amazon DynamoDB or MongoDB and historical data from Snowflake. Built by the team behind the online data infrastructure that powers Facebook Newsfeed and Search, Rockset is inspired by the same indexing systems that power real-time analytics at cloud scale.

Read on for more.

The joint partnership will provide data model templates and Live Analytics to help data teams working in the cloud get up-to-date data insights in minutes. Organizations can leverage ThoughtSpotSpotApps, prebuilt solutions for specific use cases powered by Matillions data transformation platform, to accelerate time to value and give more users access to the data they need.

Read on for more.

For consideration in future data analytics news roundups, send your announcements to tking@solutionsreview.com.

Tim is Solutions Review's Editorial Director and leads coverage on big data, business intelligence, and data analytics. A 2017 and 2018 Most Influential Business Journalist and 2021 "Who's Who" in data management and data integration, Tim is a recognized influencer and thought leader in enterprise business software. Reach him via tking at solutionsreview dot com.

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Trumid Chooses AtScale Semantic Layer to Drive Advanced Analytics and Data Science Initiatives – Business Wire

June 20, 2022 | Author: admin

BOSTON--(BUSINESS WIRE)--AtScale, the leading provider of semantic layer solutions for modern business intelligence and data science teams, today announced that Trumid, a financial technology company and fixed income electronic trading platform, chose AtScale to build out its internal advanced analytics and data science capabilities.

Trumid centralizes performance data from multiple sources into a Google BigQuery data warehouse. AtScale connects BigQuery data to Google Looker reports, ensuring consistently high analytics performance and enabling permissioned non-technical users to interact with a business-oriented view of data. Headline KPIs related to aggregated volume and trading on the platform can be reviewed, and internal permissioned users are allowed to interactively explore more granular performance analytics. This approach enables a broader set of users to make data-driven decisions and unlocks the power of Trumids modern data and analytics stack.

Using AtScale in conjunction with Google Looker creates a powerful platform to capture valuable insights from our performance data, said Mutisya Ndunda, Head of Data Strategy and AI at Trumid. By delivering a business-oriented view of data to a broader audience, we are able to drive more value from our cloud data and analytics investments.

Trumid is also exploring the use of AtScale AI-Link to bridge data science programs to broader data and analytics users. This approach allows data scientists to treat the AtScale semantic layer as a feature store, simplifying access to business-vetted features for artificial intelligence (AI) and machine learning (ML) models. Further, model-generated insights can be published back through the semantic layer, enabling permitted business audiences to see a broader visibility of predictions.

Join AtScale and Trumid for a webinar discussion on their collaboration, taking place on Wednesday, June 22, 2022 at 2pm EDT. For more information and to register, please click here.

About AtScale

AtScale enables smarter decision-making by accelerating the flow of data-driven insights. The companys semantic layer platform simplifies, accelerates, and extends business intelligence and data science capabilities for enterprise customers across all industries. With AtScale, customers are empowered to democratize data, implement self-service BI and build a more agile analytics infrastructure for better, more impactful decision making. For more information, please visit http://www.atscale.com and follow us on LinkedIn, Twitter or Facebook.

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Trumid Chooses AtScale Semantic Layer to Drive Advanced Analytics and Data Science Initiatives - Business Wire

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Research in science pushed up QS ranking for University of Madras – The Hindu

June 20, 2022 | Author: admin

We need to improve student-staff ratio, citation, placement and perception, says Vice-Chancellor

We need to improve student-staff ratio, citation, placement and perception, says Vice-Chancellor

The performance of the University of Madras in its first-ever participation in QS (Quacquarelli Symonds) World University Ranking has pointed to the need for it to focus on several areas, Vice-Chancellor S. Gowri has said.

The university is ranked 547 th among the world universities. Its work on research in science has pushed up the rank, he said.

It has performed among the top 38% and the citation impact of its research papers is 48. The citation of the research papers globally is the strongest indicator for the university, the ranking organisation has said. The citation per faculty is 94.2/100.

The university is considered a small institution, but the research intensity is very high, QS officials have said. The university has 16.4 million recorded publications and 117.8 million citations.

Placement in the university is lower, compared with global institutions. The perception of the university needs to improve. We need to improve the student-staff ratio, citation, placement and perception. We have to introduce new subjects. These are the areas that we need to focus on to improve our ranking, the Vice-Chancellor said.

The performance motivated the university to apply for Shanghai Ranking, whose parameters would be tougher, he said.

The University of Madras recently signed an agreement with the University of Melbourne for a joint degree in physics. The university is proposing such programmes in English and psychology, too.

Madras University was once a multidisciplinary university. We have faculty in western music and architecture. According to the UGC, architecture is not engineering but science. We could revive these faculties, he said.

This year, the university has granted permission for starting undergraduate courses in artificial intelligence and data science; computer science with artificial intelligence; and computer science with data science. There has been a request for management studies and data science too.

The aim is to be ranked globally within the top 500. Our students will be able to pursue higher studies at overseas universities and will have better placement opportunities globally, Mr. Gowri said.

It has been a good year for the university as it has received 132 applications from students abroad. Last year, only seven students had been admitted. This year, 25 have been admitted so far, said Rita John, who heads the committee that oversees the International Centre for the University of Madras.

To make the university attractive, there is a proposal to offer a spoken Tamil course for foreign students.

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Research in science pushed up QS ranking for University of Madras - The Hindu

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