Category Archives: Deep Mind

The Secret To Succeeding As A Health Entrepreneur, From A Celeb Wellness Expert – mindbodygreen.com

Once youve found your audienceafter youve answered why you do what you do along with the what, who, and howyoull need to figure out where these people spend their time.To build a business, you need to focus on building community with like-minded folks who you helpand who help you build your business.

Find out what platform they frequent, then build content that serves these folks. Maybe your dominant platform is Instagram. In that case, youll want to create videos, pictorials, or other supportive content.Or perhaps your followers prefer you to deep-dive into content, so you regularly post articles on Medium.

Find that dominant platform and make it yours. Show up regularly. Spend time there interacting, really get to know your followers, and post consistently.Before long, youll build a community who remains loyal to your brand as it evolves, just as you remain loyal to providing them valuable information.

View original post here:
The Secret To Succeeding As A Health Entrepreneur, From A Celeb Wellness Expert - mindbodygreen.com

Google Live Transcribe now allows you to translate speech offline, anytime and anywhere – Digital Information World

To assist those individuals who suffer from hearing disabilities, Google is going to upgrade the Live Transcribe that will now let you translate videos as well as audios from the device, even when offline.

The very powerful Android Accessibility, Live Transcribe offers authentic speech-to-text translations in various settings, assisting multiple languages and dialects. The feature facilitates actual conversations among individuals with any kind of hearing impairment or individuals who cant hear properly or lack the power of hearing. Along with notifying users regarding significant sounds like door knocks, bells, child noises, and mobile ringtones, it further alerts users about dangerous and risky situations like emergency alarms, warning bells, and horns.

At present, transcription requires a secure network connection to use a quick and correct translation service. However, recently Google reported that users can access the fully functional transcription service even when theyre not having internet access or cellular data.

Live Transcribe is already downloaded on Pixel and Samsung mobile phones, however, others can easily get the application on Play Store and download it. Today, the application will start offering an Offline Mode that will allow users to get speech-to-text captions even if they are not having a secure internet connection or do not have a connection at all. This update will also help users in conditions where you have no signals or Wi-Fi as in airplanes, basements, elevators, or mountainous regions.

Users can find the Transcribe offline on/off option in the application settings, which they have to switch on and theyll be notified that the transcription, as well as the sound effects, are still accessible. Now they can access Live Transcribe with no connection required anytime and anywhere.

Read next:This New AI From DeepMind Could Unlock the Secrets of Ancient Greek Texts

More here:
Google Live Transcribe now allows you to translate speech offline, anytime and anywhere - Digital Information World

Interview: Digging Deep with Avi Kaplan & Joy Williams on All Is Well – Atwood Magazine

Singer/songwriters Avi Kaplan and Joy Williams speak to Atwood Magazine about collaborating on their new song All Is Well, the power of music, and how departure is really expansion.follow our Todays Song(s) playlist

Sometimes a song follows you around. When youre cooking and suddenly the words start coming through in whispers or when youre out and all you can hear is the opening chords amongst the noise of the cars, you know youve stumbled onto something magical.

All Is Well was released on 15th February and is the second single from Avi Kaplans upcoming album Floating On A Dream (May 20th, 2022 via Fantasy Records). The song is a collaboration with the Grammy Award Winning singer-songwriter Joy Williams.

All Is Well is exquisitely beautiful. The harmonies Kaplan and Williams create together are heavenly and the whole song feels like a dreamy mantra. A place to retreat, rebuild and renew yourself.

Kaplan and Williams spoke to Atwood Magazine about collaborating on All Is Well, the power of music, and how departure is really expansion.

Atwood Magazine: I wanted to primarily talk about the song All Is Well that you co-wrote together, dig deep into the songwriting process but also talk about your album Floating On a Dream. Did you two know each other before you went into write together?

Avi Kaplan: I didnt know Joy [Williams] well, but I had met her in passing at an industry party that was happening, I think it was after some award show. I was a really big fan of hers and I was introduced to her, and she was so kind and so sweet and just a really great human and so I knew her a little bit from there. Then we got connected to write together and had got to know her much better since then.

Joy Williams: Avi and I had met at music events over the years Grammy parties, backstage at showsbut the first time I feel like I trulymetAvi was the day we wrote for the very first time.

We met up at my producer friends studio in Nashville, and Ill never forget Avis dark beard and warm baritone voice resonating in the room. Avi brings such a gentle gravity to any room hes in, and we talked everything from our mutual love of harmonizing to both of us growing up in CA. It was like Id stumbled upon a long-lost buddy, who also just happened to have a guitar on hand.

Avi, what would you say what is your usual writing process? Do you usually write alone or do you tend to write more with others?

Avi Kaplan: I do both. Nashville is very much a writing city, and I wasnt used to that but since moving out here, I really wanted to just try to stretch my boundaries and start writing with other people because it is so much part of the culture here. I would say with this album, its more writing with other people. There are some songs that I wrote by myself which I then brought to a friend to smooth out a little bit, but this this album was very collaborative, and I think in the future Ill continue do both because I really enjoy doing both.

Writing with others obviously changes the output of your art but does it feel less personal when it's written that way, or do you tend to only write with people that you feel you have a connection with?

Avi Kaplan: Yeah exactly. I write with a lot of people, and I write a lot of songs and the ones that dont feel personal I dont use, I dont release. Ive started to kind of refine who Ive been writing with so really any song that I write, it has to feel like its coming from me or else I dont feel right about releasing it. It really, really has to feel like me and I think that when you write with other people it helps with creating maybe a vibe that that you wouldnt necessarily create on your own but still has the essence, the lyricism that I have, my melodic tendencies but maybe it is just a different feel, different chords, different instrumentation, maybe a different perspective, so its all is all based around feeling like a song that is very personal to me.

Do you notice a departure in your writing from previous projects to this one? Like you said, you moved to Nashville and you started doing more co-writing than maybe you had previously.

Avi Kaplan: I think its always expanding. I think that if you listen to my old stuff and you listen to this stuff, you will hear a through line for sure, but I think its always expanding. I think writing with other people has helped me expand into new areas, new realms that I love to write in.

I feel like Ive tried to write all my stuff in a pretty eclectic way and do a lot of different things, so that it doesnt feel like when I do go in different directions it doesnt necessarily feel like its huge departure. When you listen to Floating On A Dream it all feels like the same record but it goes to a lot of different realms.

Fans and critics get quite precious about an artist and their artistry when they feel like an album or a song is a massive departure from an artists previous work, when in fact it's, as you say, maybe more of an expansion. Have you found this when releasing new music?

Avi Kaplan: Exactly, and thats why Ive intentionally tried to have everything be pretty in eclectic so Im not totally fenced into one sound because I love to make a lot of different sounds. I love to sing in a lot of different types of ways. I love to write music and compose in many different genres and all of those things, so I always want to be able to be able to stretch out musically because I love to do so many different styles. Its also a fun challenge to try to have there be a through line in all the different types of things that I like to do. I always want there be extent expansion and growth.

When you wrote All Is Well together did either of you go to the writing session with voice notes or lyrics or music or did it just happen very organically from the conversation?

Avi Kaplan: It definitely happened organically. Honestly, usually when I go into write I dont like to have anything planned because I feel like theres an energy in the room and theres an energy between the people and know sometimes you can capture it in a song and sometimes you dont.

I am so happy with the song that we caught that day. It just kind of floated down which happens when you when you write some songs, you know. I just kind of started playing the guitar part and I sang some melodies, and she [Joy Williams] really dug it and then we started going back and forth on lyrics. We finished a very large portion, I would say 90% of it that day, and did a cool demo, and then really all we did was just like tweak some lyrics afterwards on the bridge but everything else stayed. It was a beautiful writing experience. One of those songs that kind of just falls out of the sky.

Joy Williams: All Is Well almost revealed itself line by line to us instead of us writing it. It was steady and slow, unfolding. Like a gift. And since we both love the magic that happens when you meld two voices together, we naturally sang the song in tandem as we went along writing. We didnt ever discuss it being a duet when we left the studio that day. That came later. When Avi went in the studio with Shooter [Jennings], I got word later that Avi was wondering if Id sing on it with him. It was easy to say yes to my friend like that.

When I have spoken to other artists, they have said I have to come to writing sessions with ideas because I feel like if I don't have ideas then what if we don't have anything to write about, but it sounds like you're saying, you came to it with nothing.

Avi Kaplan: Yeah absolutely. No preconceptions of what I wanted to write about. I honestly feel like that kind of boxes me in. I dont want to be set on something. I want to come in with an open mind and an open heart with the person that Im writing with. Or if its by myself just kind of see what comes out of you. I really believe that songs are given and so I like to come and receive whatever it is given.

Listening back to the song, do either of you now see or hear things in the song that you maybe werent consciously aware of when writing it?

Avi Kaplan: I think that with this one specifically, we did have some things in mind when we were writing in it. Its always important to me to write something thats very personal to me but present it in a way that is open ended and not so specific so that other people can put their own stories to it. So thats what happened with this one.

I feel like we were pretty intentional about the lyrics, but they did they definitely did morph and change overtime. We wrote the initial draft of it and all the melodies and all the chords, really the whole arrangement all stayed but some of the lyrics were tweaked at the end and I feel like it really came together as something that is very personal to me and also, like I said, presented in a way where it is open ended enough to for people to be able to put their own stories to it, which I think is really important. When I listen to music you know sometimes think, Man, this is exactly what I need to hear right now or exactly what Im going through and you know full well that that may not be what the artist meant exactly but thats how the words are getting me at that time, and its a beautiful experience and I want people to have that experience with my music.

I think there is something to be said for a song thats personal and very specific. I think that people love that type of music and I do songs in that way sometimes but with the song like All Is Well where it could essentially be taken as a mantra for someone thats really going through something, I like to really keep it open for those people that are needing that from of a song.

Joy Williams: Avi and I met up to write during the height of the pandemic, and I remember us both talking about creating something that spoke in the tones of overcoming and of hope.

All Is Well feels very similar to a lullaby. Would you agree?

Avi Kaplan: Absolutely. Its like the cross between like a lullaby and a hymn, and songs like that are comforting. Something thats very warm, and thats something that I really wanted to project. Whenever Joy and I write music, we say we want to try to bring that type of energy to the music because its important. Music is very powerful, and it can have a profound effect on people and thats genuinely what I want from my music.

The song has got a simplicity to it, in the music and in the lyrics, but theres also a lot of depth there. Theres a warmth to it that is very comforting and reassuring. I am finding you can often just repeat the lines in your head without necessarily having to listen to the music.

Avi Kaplan: The song just has a feeling to it and thats what I love about music is its like whatever type of song you create, you kind of create a world and an energy that it sits in and whomever listens to it, is automatically transported to that place or even just that feeling to make it a little less esoteric, but you know it just makes you feel a certain thing. That is one of the things I love about music is so powerful and I just makes me really happy that you felt that.

You said the arrangement on the demo track pretty much stayed the same. What did you add to the final recording?

Avi Kaplan: We added a pedal steel, some piano and a little bit of drum. Its a pretty simple track, theres not so much thats in it. Like I said, the arrangement didnt really change. The harmonies that we sang, we sang during the demo recording.

That was one of my favourite moments. I laid down the guitar track and then I sang the solo. Then Joy and I both went into the booth to sing on just one mic to sing the harmonies to my solo. Singing three-part harmony with Joy Williams and just singing harmony next to her in the way she sang everything and the dynamics and just her voice, it was just a really surreal experience for me to be able to sing with her because shes just so amazing at what she does and so sensitive and intentional as to what she does. It just felt immediately there was this energy to what we were doing and how we were singing together and how we were blending so really beautiful experience something Ill definitely never forget.

When I listen to Joys music or watch her on stage with other artists, shes always very collaborative. She seems to always be listening to the other person, watching what they're going to do, and then she adjusts depending on the other person.

Avi Kaplan: Absolutely. Shes an amazing musician. Shes an amazing vocalist but its her musicianship, its her musicality that really sticks out. She obviously has amazingly beautiful voice but having a beautiful voice is one thing and then being able to use that voice in the way that she does, so tastefully and collaboratively, its something that is really special about her.

How do you feel this song fits with the other songs on the album? And did you deliberately write it so it would it fit the overall theme and sound of the album?

Avi Kaplan: No, honestly with the songs on the album, I just chose the ones that I felt were the best songs and I knew that producing it in a certain way would help them all fit together and thats kind of the point of it for me. For me I wasnt necessarily worried about it fitting together with everything else but more, like I was saying before, the challenge of having eclectic songs fit together feels like its the same how do we say it? You know if you have the album, and you think of it as a large house or a castle. Its all in that same castle but each song is a different room, and that room could be decorated differently and there could be many rooms with a whole different vibe but its all a part of that big castle.

The music video that accompanies the song feels very complementary to the story youre telling. It fits so well with the texture of the song and the world you created. Did you come up with the idea for the music video or was it Bree Marie Fish, the videos director?

AK: It was a little bit of both. The person that did the video is someone that Ive worked with a lot. Bree has done all my photoshoots, so she already knows me pretty well. When I spoke to her about this this song, I just told her that I wanted it to be dark but hopeful and thats exactly what it is. It has this energy to it. I have to say when I watch videos that dont really make sense with the song, it doesnt really make sense to me. Obviously, I support whatever the artist wants to do. I know what its like to be an artist, so do whatever you want to do, but for my own art, I always wanted to reflect the energy of the song. I wanted it to be an accentuation of the energy of the song. A good visualisation of it was important to me so Im happy to hear you say that it was a good representation.

Is there a lyric or a line in the song that stands out to you?

Avi Kaplan: Its tough because I really do love the lyrics of this song. I think the first one that came to my mind The darkness in my mind was the path to set my spirit free and I think that is probably my favourite line in the song just because I think that its poignant for people that are going through darkness to really understand what thats about. To understand when youre going through something like that its actually just forcing you to grow and evolve into a better form of yourself and thats kind of the essence of that lyric is that the darkness in my mind was actually the way to set my spirit free, and when I say set my spirit free, it was to basically get away from that darkness, to feel better, to be on the other side of that.

Visit link:
Interview: Digging Deep with Avi Kaplan & Joy Williams on All Is Well - Atwood Magazine

AI Weekly: DARPA seeks to better align AI with human intentions – VentureBeat

Did you miss a session at the Data Summit? Watch On-Demand Here.

This week in AI, DARPA, the emerging technologies R&D agency of the U.S. Defense Department, launched a new program that aims to align AI systems with human decision-makers in domains where there isnt an agreed-upon right answer. Elsewhere, two prominent cofounders from LinkedIn and DeepMind, Reid Hoffman and Mustafa Suleyman, announced a new AI startup called Inflection AI that seeks to develop software that allows humans to talk to computers using everyday language.

In a press release describing the new three-and-a-half-year program, DARPA says that the goal is to evaluate and build trusted algorithmic decision-makers for mission-critical Department of Defense operations. Dubbed In the Moment, or ITM, it focuses on the process of alignment building AI systems that accomplish what theyre expected to accomplish.

ITM is different from typical AI development approaches that require human agreement on the right outcomes, ITM program manager Matt Turek said in a statement. The lack of a right answer in difficult scenarios prevents us from using conventional AI evaluation techniques, which implicitly requires human agreement to create ground-truth data.

For example, self-driving cars can be developed against a ground truth for right and wrong decisions based on unchanging, relatively consistent rules of the road. The designers of these cars could hard-code risk values into the cars that prevent them from, for example, making right turns on red in cities where theyre illegal. But Turek says that these one-size-fits-all risk values wont work from a Department of Defense perspective. Combat situations evolve rapidly, he points out, and a commanders intent can change from scenario to scenario.

The [Defense Department] needs rigorous, quantifiable, and scalable approaches to evaluating and building algorithmic systems for difficult decision-making where objective ground truth is unavailable, Turek continued. Difficult decisions are those where trusted decision-makers disagree, no right answer exists, and uncertainty, time-pressure, and conflicting values create significant decision-making challenges.

DARPA is only the latest organization to explore techniques that might help better align AI with a persons intent. In January, OpenAI, the company behind the text-generating model GPT-3, detailed an alignment technique that it claims cuts down on the amount of toxic language that GPT-3 generates. Toxic text generation is a well-known problem in AI, often caused by toxic datasets. Because text-generating systems are trained on data containing problematic content, some of the content slips through.

Although [AI systems are] quite smart today, they dont always do what we want them to do. The goal of alignment is to produce AI systems thatdo[achieve] what we want them to, OpenAI cofounder and chief scientist Ilya Sutskever told VentureBeat in a phone interview earlier this year. [T]hat becomes more important as AI systems become more powerful.

ITM will attempt to establish a framework to evaluate decision-making by algorithms in very difficult domains, including combat, through the use of realistic, challenging scenarios. Trusted humans will be asked to make decisions in these scenarios and then the results will be compared to decisions from an algorithm subjected to the same scenarios.

Were going to collect the decisions, the responses from each of those decision-makers, and present those in a blinded fashion to multiple triage professionals, Turek said. Those triage professionals wont know whether the response comes from an aligned algorithm or a baseline algorithm or from a human. And the question that we might pose to those triage professionals is which decision-maker would they delegate to, providing us a measure of their willingness to trust those particular decision-makers.

Related to the problem of alignment, LinkedIn cofounder Hoffman and DeepMind cofounder Suleyman plan with Inflection AI to leverage AI to help humans talk to computers. In an interview with CNBC, Suleyman described wanting to build products that eliminate the need for people to write in shorthand or simplify their ideas to communicate with machines.

[Programming languages, mice, and other interfaces] are ways we simplify our ideas and reduce their complexity and in some ways their creativity and their uniqueness in order to get a machine to do something, Suleyman told the publication. It feels like were on the cusp of being able to generate language to pretty much human-level performance. It opens up a whole new suite of things that we can do in the product space.

Inflection AIs plans remain vague, but the concept of translating human intentions into a language computers can understand dates back decades. Even the best chatbots and voice assistants today havent delivered on the promise recall Viv Labs, which pledged to deliver a conversational interface to anything that instead fizzled out into elements of Samsungs maligned Bixby assistant. But Suleyman and Hoffman are betting that their expertise as well as coming advancements in conversational AI will make an intuitive human-computer language interface possible within the next five years.

Even at the bigger tech companies, theres a relatively small number of people actually building these [AI] models. One of the advantages of doing this in a startup is that we can go much faster and be more dynamic, Suleyman told CNBC. My experience of building many, many teams over the last 15 years is that there is this golden moment when you really have a very close-knit, small, focused team. Im going to try and preserve that for as long as possible.

Given that countless visionaries have tried and failed in this area, that would be an impressive feat indeed.

For AI coverage, send news tips toKyle Wiggers and be sure to subscribe to theAI Weekly newsletterand bookmark our AI channel,The Machine.

Thanks for reading,

Kyle Wiggers

Senior AI Staff Writer

VentureBeat's mission is to be a digital town square for technical decision-makers to gain knowledge about transformative enterprise technology and transact. Learn More

See the article here:
AI Weekly: DARPA seeks to better align AI with human intentions - VentureBeat

Meet Hyper-Tune: New SOTA Efficient Distributed Automatic …

The ever-increasing complexity of industrial-scale machine learning models has stimulated research into automatic hyperparameter tuning methods to boost the efficiency and quality of machine learning applications. Although automatic hyperparameter tuning is now an important component of many data systems, the limited scalability of state-of-the-art methods has become a bottleneck.

To address this issue, a research team from Peking University, ETH Zrich and Kuaishou Technology has proposed Hyper-Tune, an efficient and robust distributed hyperparameter tuning framework that features system optimizations such as automatic resource allocation, asynchronous scheduling, and a multi-fidelity optimizer plug-in. In empirical evaluations, Hyper-Tune achieves state-of-the-art performance across a wide range of tuning tasks.

The team summarizes their main contributions as:

The proposed Hyper-Tune framework contains three core components: a resource allocator, an evaluation scheduler, and a generic optimizer.

To automatically determine the appropriate level of resource allocation and balance the precision vs. cost trade-off in partial evaluations, the researchers used a simple yet novel resource allocation method that searches for a good allocation via trial-and-error.

The evaluation scheduler meanwhile is designed to leverage parallel resources via D-ASHA a novel variant of the ASHA (Asynchronous Successive Halving Algorithm) hyperparameter optimization algorithm introduced by Li at. al. in 2020 to simultaneously satisfy synchronization efficiency and sample efficiency.

To create a flexible and convenient system architecture that supports the drop-in replacement of different optimizers under the async/synchronous parallel settings, the team employed a modular design that enables plugging in different hyperparameter tuning optimizers. They also adopted an algorithm-agnostic sampling framework to enable easy adaption of each optimizer algorithm to the asynchronous parallel scenarios.

In evaluation experiments on publicly available benchmark datasets and a large-scale real-world dataset, the proposed Hyper-Tune framework achieved strong anytime and converged performance and surpassed state-of-the-art methods on hyperparameter tuning scenarios that included XGBoost with nine hyperparameters, ResNet with six hyperparameters, LSTM with nine hyperparameters, and neural architectures with six hyperparameters. Hyper-Tune also achieved up to 11.2x and 5.1x speedups compared to the state-of-the-art methods BOHB and A-BOHB, respectively.

The paper Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale is on arXiv.

Author: Hecate He |Editor: Michael Sarazen

We know you dont want to miss any news or research breakthroughs.Subscribe to our popular newsletterSynced Global AI Weeklyto get weekly AI updates.

Like Loading...

Visit link:
Meet Hyper-Tune: New SOTA Efficient Distributed Automatic ...

This is the reason Demis Hassabis started DeepMind – MIT Technology Review

To support MIT Technology Review's journalism, please consider becoming a subscriber.

A handful of teams around the world have started using AlphaFold in work on antibiotic resistance, cancer, covid, and more. Roland Dunbrack at the Fox Chase Cancer Center in Philadelphia is one early adopter. He leads a team that has been using computers to predict protein structures for years. Other teams at the lab then use these structures to guide their experiments.

AlphaFold has introduced an unprecedented level of accuracy to Dunbracks work. They are accurate enough to make biological judgments from, to interpret mutations in a cancer gene, he says of its predictions. We always tried to do that with computer-generated models before, but we were often wrong.

When colleagues ask him to model proteins, Dunbrack says, he can now be more confident in what he gives them. Otherwise, he says, I get really nervous, worried that theyll come back to me and say, We wasted all this money and your model was terribleit didnt work.

AlphaFold can still make mistakes, but when it works well it can be hard to tell the difference between its predictions and a structure produced in the lab, says Dunbrack. He runs AlphaFold predictions on a computer platform called ColabFold, hosted by Harvard University and running on Google GPUs. Every night I set one up before I go to sleep, and they take a few hours to run, he says.

Its a super useful tool that everybody in my lab is using, says Kliment Verba, a structural biologist at the University of California, San Francisco. Verba mostly works on cancer, but in the early weeks of the covid-19 pandemic, he joined a loose consortium of researchers studying the SARS-CoV-2 virus. In particular, he wanted to figure out how its proteins hijacked host proteins.

Verba and his colleagues had produced part of the structure for the viral protein they were interested in, but they were missing a piece. Many proteins have multiple domainsdensely folded sections, a few hundred amino acids long, that can each have a separate function. One domain might bind to DNA, another might bind to another protein, and so on. Theyre multiheaded beasts, says Dunbrack.

Structurally, domains are like knots in a rope, connected by loose, looping strands that flop around. In the protein he was studying, Verbas team had figured out the rough shape of the rope but not the detailed structure of all the knots. Without that detail, there was little they could say about how it worked.

They realized, though, that this protein was one of those DeepMind had already run through AlphaFold and shared online. AlphaFolds prediction wasnt perfect; the looping strands werent quite right. But it had the shape of the proteins four domains. The researchers took AlphaFolds predictions for the domains and lined them up with the rough shape they had. It was remarkably close.

I remember that moment when I saw it fit, says Verba. It was amazing. We were now the only ones in the world with the full structure. They published their findings soon after.

Verba thinks AlphaFolds strength lies in finding structures for proteins that have not yet been fully studied. Many of the proteins we care about have been studied for decades, he says. People have spent careers chipping away at them, so we have a fairly good idea what they look like. But that still leaves a lot of uncharted territory.

Verba is interested in kinases, for example. Kinases are enzymes that play a crucial role in regulating the normal function of cells. If they stop working properly, they can cause cancer. Only around half of the 500 or so kinases in the human body are well understood; the remainder is known as the dark kinome.

Researchers like Verba and Dunbrack are interested in developing cancer drugs that target the kinome. But this is where AlphaFolds limitations kick in.

Because working out the structure of a protein in the lab is costly, it is typically done only once the protein has been picked as a promising candidatewhich might be months into the drug discovery process. The hope, Deane says, is that AlphaFold could reverse that sequence, making the pipeline move faster. Now I can start with the structureI can identify where it has pockets on the surface, places where I can bind drug molecules, she says.

A lot of the time these small transformations are the crux of biological function.

Yetas Deane acknowledgesyou need more than a static structure to fully understand how a drug and a protein might interact. Proteins do not stay still; their structures can cycle through subtle reconfigurations. A lot of the time these small transformations are the crux of biological function, says Verba.

Whats more, a protein may be open to receiving a drug in one state but not others. And judging from what researchers are seeing so far, AlphaFold appears to predict the most common state of these structures, which may not be the state that is important for drug development.

Proteins can also change shape when drugs bind to them, which can affect how the drug works. In the worst-case scenario, a drug binding to a protein can have unpredictable knock-on effects on adjoining proteins, potentially even reversing what the drug was designed to dofor example, activating rather than inhibiting some function.

See more here:
This is the reason Demis Hassabis started DeepMind - MIT Technology Review

Offshore Studio returns with a mind-boggling lineup of unconventional graphic design projects – It’s Nice That

The studio has much to update us on. One of its recent endeavours, for instance, is a project entitled Not at Your Service: Manifestos for Design, created for Zurich University of the Arts. The project dissects the role of graphic design and the impact it has through the means of a publication, which is not conceived as a finished project, but as a fluid document of its time, Christoph tells Its Nice That. Inspired by old underground magazines, the team opted for a dynamic mix of text and imagery to accompany its sprawling though highly formulaic layouts. Not to mention its use wild combinations of typefaces and sizes, along with the addition of small, hand-drawn symbols and frames. Isabel continues to explain how they wanted to translate this subversive tone of the underground scene into the editorial format. So we came up with the idea of four differing layouts for the four main chapters, using different type sizes for each of them, getting smaller by each chapter. As such, the English texts are printed in red while German is in green at the end of each chapter; colour plays an imperative role as it dissects the difference between the quotes, essays and overall structure.

In other projects, the studio devised a website for the Bauhaus Foundation called Digital Atlas an interactive map of ideas, objects, styles and persons in relation to the educational side of Bauhaus. Users can deep-dive into the various art and design schools around the world to better understand the impact and migration of the ideas in relation to this prominent design movement. Another example is a publication named Elements, created during the residency at Jan van Eck Academie and edited with Jessica Gysel. Showcasing art and design exhibitions from the year 2021, the work involved addresses the Euregio cross-border region located between Germany and The Netherlands. We wanted to do a bit more than an exhibition catalogue and came up with the idea to make use of the four classical elements of water, earth, fire and air as a narrative threat for the publication, shares Christoph. These four elements were proposed to ancient cultures as a base to explain the nature and complexity of all matter and we wanted to look at the featured exhibitions through their lens.

Everything Offshore Studio works towards has this consistent level of cultural impact. Void of surface-deep concepts, the studios portfolio is littered with in-depth investigations into topics that really matter conceived through a playful mix use symbols, software and writing. Its all about figuring out how to translate certain ideas, concepts themes and spaces into a visual language that seems thematically appropriate, exciting and is capable of communicating specific information in an impactful and intriguing way.

Read the original here:
Offshore Studio returns with a mind-boggling lineup of unconventional graphic design projects - It's Nice That

March Is The Last Month Of The Astrological Year Here’s What To Know – mindbodygreen.com

March begins still in the effect of the United States February 20 Pluto Return, an astrological moment that hasnt occurred for American since July 4, 1776. Russias invasion of Ukraineand the shocking resistance by Ukrainian military and civiliansunfolded right in step with this seismic transit.

We are now in the last month of the Western astrological calendar, leading up to the spring equinox on March 20. Pisces season is a time of closure, one thats been deceptively pegged as compassionate and spiritual, the opposite of warmongering.To be sure, these are among Piscean traits: artistry, imagination, and deep empathy are all this Neptune-ruled signs highest vibration.

The Pisces zodiac sign symbol (glyph) may hold the greatest metaphor for these interesting times. Its an icon of two fish, which represent our unconscious motives. These fish are bound together by an energetic cord, yet swimming in opposite directions.

Seen in that light, Pisces is the ultimate symbol of conflict, not peace. That conflict may be deeply internal, hidden from even our awareness. The duality of Pisces also reminds us of our oneness, even with our enemies. Pisces is the ultimate paradox: the more we struggle to escape each other, the tighter our binding rope becomes.

The rest is here:
March Is The Last Month Of The Astrological Year Here's What To Know - mindbodygreen.com

Farfetch: I’ve Changed My Mind, This Starts To Be Interesting – Seeking Alpha

Petar Chernaev/E+ via Getty Images

Farfetch (FTCH) has seen its shares left for dead. However, it's actually reporting a meaningful improvement in operations.

I go through and explain why I'd previously issued a sell recommendation only to see the stock fall 50% (including Friday's 40% pop) and why now, I'm reverting my assessment.

I contend that the focus of the story here will be on Farfetch's path towards profitability rapidly emerging.

Here's why I argue that investors would consider putting this stock on their watchlist.

On 14 May, I wrote to Deep Value Return members that they should sell Farfetch's stock. It was a really difficult call to make and it caused me a lot of anguish. The stock at the time was trading at near its lows over the previous 6 months, and there's nobody out there that likes to admit they made a terrible mistake.

I said then,

I should have been swifter on my feet to cash in earlier in February [2021]. But I can't deal with facts in the past. I have to take ownership here and be honest with myself and you.

The easiest option for me would be to bury my head in the sand and pretend that what's happening isn't happening. That would be the easy option. But I will not do that.

I believed that there was a strong likelihood that the stock would continue to implode further. And as you can see from the graph above, since that date, including the pop in the share price on Friday, the stock is still down 50%.

Then, in November, I published my point on the SA website saying ''I don't think it's worthwhile being invested in Farfetch.'' Since that point in November, the stock is down just over 40%, including Friday's pop.

Author's coverage of Farfetch

However, I now believe that the story is starting to change.

Farfetch revenue growth rates

Farfetch doesn't provide investors with guidance for the year ahead. What it does provide is Gross Merchandise Value (''GMV''). Over the past 2 years, GMV translates into revenues at very approximately 53% for both 2020 and 2021 periods.

This implies the following estimates for 2022:

On a revenue estimate, this could translate into somewhere near $2.8 billion in 2022. My estimates for Farfetch's revenues are ever-so-slightly lower than what analysts estimate, at closer to $2.9 billion in revenues, but perhaps not overly meaningful in the grand scheme of things?

Nevertheless, it appears that both according to my own estimates, as well as, analysts' consensus, Farfetch is likely to grow its revenues at approximately 26% over the coming year.

Farfetch is a luxury marketplace. Like all marketplaces, the trick is to get enough buyers to be willing to pay for merchandise. Marketplaces can have wonderful network effects and be awesome businesses if they can keep costs under control.

Throughout the pandemic, we've seen all kinds of marketplaces surface. But very few luxury brands' marketplaces have the presence of Farfetch.

During the earnings call, Farfetch discussed its move to do away with meaningfully discounting its brands. And how this hasn't prevented its guided GMV from continuing to grow at mid-to-high 20s% GMV rates.

Clearly, this is all together leading to an improvement in its bottom-line profitability.

The following figures show Farfetch's profitability profile during 2020:

Farfetch's Press Statement

As you can see above, Farfetch's Q4 2020 adjusted EBITDA stood at 2.2%, which wasn't strong enough to see its full-year 2020 swing to the positive.

Now, compare its progress in 2021:

Farfetch's Press Statement

Every quarter points to a dramatic improvement, with the all-important Q4 quarter firmly sealing the progress that Farfetch made throughout 2021.

What's more, for 2022 as a whole, Farfetch is now guiding for 1% to 2% EBITDA margins.

If we take the midpoint of this estimate, we are going to be looking at approximately $42 million of adjusted EBITDA compared with negative $47 million in 2020 and positive $2 million in 2021.

However, we appraise Farfetch's bottom line, at close to $42 million of EBITDA, it's a meaningful improvement from what was essentially breakeven in 2021.

Before going further, I'll highlight that one of the reasons why I had issued a sell recommendation in the past was that Farfetch was being too quick to dilute shareholders.

To illustrate, compared with Q4 of last year, the total number of shares outstanding has increased by 36% y/y to 473 million.

However, as it stands right now, Farfetch's balance sheet carries approximately $700 million of net cash. This implies that the business has more than enough funds to invest in its growth prospects without having to further dilute shareholders to bolster its capital requirements, at least in the near term.

Next, Farfetch is priced at approximately 185x this year's EBITDA. Clearly, this is a very punchy multiple.

However, the progression that Farfetch has seen over the previous 2 years is inspiring. At the present rate, it's not inconceivable that Farfetch's EBITDA profile could reach $80 million in 2023.

This would put the stock at 96x its 2023 EBITDA. Clearly, still not the cheapest stock out there, but it's the pace of change on its bottom line that matters here more, rather than thinking solely about its multiple.

Farfetch has been a difficult stock for anyone to consider this past year. Including the rally in its share price on Friday of 40%, I suspect that the vast majority of readers are still very much underwater here and unwilling to consider this investment.

And I understand that there are many psychological barriers to overcome before re-considering this investment right now. Once bitten twice shy. Presently, there's a lot of JOMO (Joy of Missing Out). Let's just hope it doesn't turn into FOMO at the worst price point. Whatever you decide, good luck and happy investing.

Link:
Farfetch: I've Changed My Mind, This Starts To Be Interesting - Seeking Alpha

AI In Diagnostic Imaging Market Is Expected to Boom | GE Healthcare,Canon,Siemens Healthineers,Subtle Medical,DeepMind,Samsung ZNews Africa – ZNews…

Global AI In Diagnostic Imaging Market Regional Trade, Company Profile Analysis, Business Strategies and Competition Analysis 2021-2027

This report studies the AI In Diagnostic Imaging market with many aspects of the industry like the market size, market status, market trends and forecast, the report also provides brief information of the competetors and the specific growth opportunities with key market drivers. Find the complete AI In Diagnostic Imaging market analysis segmented by companies, region, type and applications in the report.

New vendors in the market are facing tough competition from established international vendors as they struggle with technological innovations, reliability and quality issues. The report will answer questions about the current market developments and the scope of competition, opportunity cost and more.

Some of the key players Analysis in Global AI In Diagnostic Imaging Market @ GE Healthcare,Canon,Siemens Healthineers,Subtle Medical,DeepMind,Samsung Healthcare,Koninklijke Philips N.V.,Butterfly Network

GET SAMPLE COPY OF THIS REPORT: https://www.reportsandmarkets.com/sample-request/global-ai-in-diagnostic-imaging-market-4315160?utm_source=znewsafrica&utm_medium=6

It is our aim to provide our readers with report for Global AI In Diagnostic Imaging Market, which examines the industry during the period 2021 2027. One goal is to present deeper insight into this line of business in this document. The first part of the report focuses on providing the industry definition for the product or service under focus in the Global AI In Diagnostic Imaging Market report. Next, the document will study the factors responsible for hindering and enhancing growth in the industry. After covering various areas of interest in the industry, the report aims to provide how the Global AI In Diagnostic Imaging Market will grow during the forecast period.

One of the crucial parts of this report comprises Global AI In Diagnostic Imaging industry key vendors discussion about the brands summary, profiles, market revenue, and financial analysis. The report will help market players build future business strategies and discover worldwide competition. A detailed segmentation analysis of the market is done on producers, regions, type and applications in the report.

On the basis of geographically, the market report covers data points for multiple geographies such as United States, Europe, China, Japan, Southeast Asia, India, and Central& South America

Analysis of the market:

Other important factors studied in this report include demand and supply dynamics, industry processes, import & export scenario, R&D development activities, and cost structures. Besides, consumption demand and supply figures, cost of production, gross profit margins, and selling price of products are also estimated in this report.

Frequently Asked Questions

Which product segment grabbed the largest share in the AI In Diagnostic Imaging market?

How is the competitive scenario of the AI In Diagnostic Imaging market?

Which are the key factors aiding the AI In Diagnostic Imaging market growth?

Which are the prominent players in the AI In Diagnostic Imaging market?

Which region holds the maximum share in the AI In Diagnostic Imaging market?

What will be the CAGR of the AI In Diagnostic Imaging market during the forecast period?

Which application segment emerged as the leading segment in the AI In Diagnostic Imaging market?

What key trends are likely to emerge in the AI In Diagnostic Imaging market in the coming years?

What will be the AI In Diagnostic Imaging market size by 2027?

Which company held the largest share in the AI In Diagnostic Imaging market?

The conclusion part of their report focuses on the existing competitive analysis of the market. We have added some useful insights for both industries and clients. All leading manufacturers included in this report take care of expanding operations in regions. Here, we express our acknowledgment for the support and assistance from the High-speed and Intercity Trains industry experts and publicizing engineers as well as the examination groups survey and conventions. Market rate, volume, income, demand and supply data are also examined.

To inquire about the Global AI In Diagnostic Imaging market report, click here: https://www.reportsandmarkets.com/sample-request/global-ai-in-diagnostic-imaging-market-4315160?utm_source=znewsafrica&utm_medium=6

Table of contents:

AI In Diagnostic Imaging Global Market Research Report 2021

1 Market Overview

2 Manufacturers Profiles

3 Global AI In Diagnostic Imaging Sales, Revenue, Market Share and Competition by Manufacturer

4 Global AI In Diagnostic Imaging Market Analysis by Regions

5 North America AI In Diagnostic Imaging by Country

6 Europe AI In Diagnostic Imaging by Country

7 Asia-Pacific AI In Diagnostic Imaging by Country

8 South America AI In Diagnostic Imaging by Country

9 Middle East and Africa AI In Diagnostic Imaging by Countries

10 Global AI In Diagnostic Imaging Market Segment by Type

11 Global AI In Diagnostic Imaging Market Segment by Application

12AI In Diagnostic Imaging Market Forecast (2021-2027)

13 Sales Channel, Distributors, Traders and Dealers

14 Research Findings and Conclusion

15 Appendix

If you have any special requirements, please let us know and we will offer you the report as you want.

About Us:

Our marketing research reports comprise of the best market analysis along with putting the right statistical and analytical information on the markets, applications, industry analysis, market shares, technology and technology shifts, important players, and the developments in the market. If you require any specific company, then our company reports collection has countless profiles of all the key industrial companies. All these reports comprise of vital information including the company overview, the company history, the business description, the key products & services, the SWOT analysis, the crucial facts, employee details, the locations and subsidiaries to name a few.

Contact Us:

Sanjay Jain

Manager Partner Relations & International Marketing

http://www.reportsandmarkets.com

Ph: +1-352-353-0818 (US)

More:
AI In Diagnostic Imaging Market Is Expected to Boom | GE Healthcare,Canon,Siemens Healthineers,Subtle Medical,DeepMind,Samsung ZNews Africa - ZNews...