Category Archives: Artificial Intelligence
Stanford virtual conference to focus on COVID19 and artificial intelligence | Stanford News – Stanford University News
Russ Altman (Image credit: Courtesy Russ Altman)
The impact of COVID-19 on society and the way artificial intelligence can be leveraged to increase understanding of the virus and its spread will be the focus of an April 1 virtual conference sponsored by the Stanford Institute for Human-Centered Artificial Intelligence (HAI).
COVID-19 and AI: A Virtual Conference, which is open to the public, will convene experts from Stanford and beyond. It will be livestreamed to engage the broad research community, government and international organizations, and civil society.
Russ Altman, one of the conference chairs, is an associate director of HAI and the Kenneth Fong Professor and professor of bioengineering, of genetics, of medicine, of biomedical data science, and, by courtesy, of computer science. He is also the host of the Sirius radio show The Future of Everything. He discusses the aims of the conference.
What was the idea behind the conference?
At HAI, we felt this was an opportunity to use our unique focus on AI and humanity to serve the public in a time of crisis. The issues involved in the pandemic are both nuanced and complex. Approaching it from multiple fields of expertise will help speed us toward solutions. The goal is to make leading-edge and interdisciplinary research available, bringing together our network of experts from across different schools and departments.
We have a world-class set of doctors and biological scientists at Stanford Medical School and theyll, of course, be involved. Well also have experts on AI, as well as the social sciences and humanities, to give their scholarly perspective on the implications of this virus, now and over time. The conference will be entirely virtual with every speaker participating remotely, providing an unpolished but authentic window into the minds of thinkers we respect.
What useful information will come out of the conference?
Were asking our speakers to begin their presentation by talking about the problem theyre addressing and why it matters. They will present the methods theyre using, whether scientific or sociological or humanistic, the results theyre seeing even if their work is preliminary and the caveats to their conclusions. Then theyll go into deeper detail that will be very interesting to academic researchers and colleagues. Importantly, we intend to have a summary of key takeaways afterward along with links to information where people can learn more.
We will not give medical advice or information about how to ensure personal safety. The CDC and other public health agencies are mobilized to do that.
What do you think AI has to offer in the fight over viruses like COVID-19?
AI is extremely good at finding patterns across multiple data types. For example, were now able to analyze patterns of human response to the pressures of the pandemic as measured through sentiments on social media, and even patterns in geospatial data to see where social distancing may and may not be working. And, of course, we are using AI to look for patterns in the genome of the virus and its biology to see where we can attack it.
This interdisciplinary conference will show how the availability of molecular, cellular and genomic data, patient and hospital data, population data all of that can be harnessed for insight. Weve always examined these data sources through more traditional methods. But now for the first time, and at a critical time of global crisis, we have the ability to use AI to look deeper into data and see patterns that were otherwise not visible previously, including the social and cultural impact of this pandemic. This is what will enable us to work together as a scholarly, scientific community to help the future of humankind.
Who do you hope will attend?
The core audience is scholars and researchers. We want to have a meaningful discussion about the research challenges and opportunities in the battle against this virus. Having said that, we know that there are many people with an interest in how scientists, researchers, sociologists and humanists are helping in this time of crisis. So were making the conference open to anyone interested in attending. It will be a live video stream from a link on our website, and available as a recording afterward.
What kind of policy effect do you hope the conference can have?
Good policy is always informed by good research. A major goal of HAI is to catalyze high-quality research that we hope will be heeded by policymakers as they work to craft responses to COVID-19 and future pandemic threats. So this will give insights to policymakers on what will be published in the coming months.
Register for the April 1 conference.
Learn more about the Stanford Institute for Human-Centered AI (HAI).
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Stanford virtual conference to focus on COVID19 and artificial intelligence | Stanford News - Stanford University News
Developing new light of tomorrow with artificial intelligence – ELE Times
The research project OpenLicht was launched in September 2016 and stands for the design of smart, customized light solutions based on open source and new materials. OpenLicht was funded by the German Ministry of Education and Research (BMBF), with the goal of enabling new forms of collaboration between science, business, maker and startup community. Infineon Technologies AG is supervising the project in close cooperation with Bernitz Electronics GmbH, Deggendorf Institute of Technology and the Technical University of Dresden.
The results are now being made public and include the prototype of a smart lighting system based on artificial intelligence. It automatically adjusts the light in the room to the users position and activity, such as reading or watching TV, learns the persons preferences and can even respond to a certain degree to circumstances it has not learned previously.
The solution developed in the project is based on open source approaches like openHAB, a smart home system, and machine learning libraries. Use of freely available development environments, software frameworks and low-cost hardware solutions enables integration of a wide range of different sensor data and further development of existing results by the community.
Intelligent light design is entering the smart home and so the vision will accompany us through our everyday life with fully automated solutions. However, the ones currently available on the market so far often pose a raft of challenges for users. It is frequently the case that they are, at most, partly automated and are complicated to program. Moreover, the systems often fail to safeguard privacy or unnecessarily consume power, since light usage is not tailored ideally to the users needs, which in turn has a negative impact on CO2 emissions. OpenLicht has found answers to these challenges.
Smart light solutions with the aid of artificial intelligence (AI)
The use of AI in the local network creates smart light solutions that are safe, yet sustainable and safeguard the users privacy. The AI acts on a system that is closed off from the outside world and does not have to be connected to the Internet.An open source gateway based on a Raspberry Pi and an Infineon Trusted Platform Module (TPM) has been developed to enable that.
That means data does not have to be sent to the cloud, but can instead be processed locally, which ensures security and privacy for households. These factors are vital in increasing the acceptance of smart home solutions. In addition, automatic adjustment to the users activities makes sure the light required at a particular moment is available. That avoids unnecessary floodlighting and helps protect the climate without the need to appeal to users conscience.
Open light for everybody
Software developments have been documented by OpenLicht and published on GitHub, for example, while new light ideas have been fleshed out in do-it-yourself projects and made available for replication on platforms such as Thingiverse or Hand im Glck. The platform concept also fosters dialog within the light community. The ultimate goal is to enable everyone to develop state-of-the-art light solutions.
In the evaluation phase, OpenLicht involved various creative partners at the interface between knowledge, innovation and design in order to open up access to light development: In cooperation with Munich University of Applied Sciences and the Strascheg Center for Entrepreneurship, students of design, electrical engineering and economics developed light innovations, built demonstrators and created business models.
At the Lichtwoche Mnchen trade fair in 2019, various workshops were able to be held both with laypersons and professionals to implement modern light solutions, for example using 3D printing technology. And at an event staged in cooperation with the Technik fr Kinder association in Deggendorf, children built their own smart light in just one morning. OpenLicht therefore enables light to be grasped in a dual sense: Lighting responds to movement and can be used, developed and redesigned by everyone.
For more information, visit http://www.infineon.com
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Developing new light of tomorrow with artificial intelligence - ELE Times
Is it right to use artificial intelligence in aviation security? – Airport Technology
]]> Greater Toronto Airports Authority recently announced it would be testing HEXWAVE, an AI-enhanced weapon detection technology. Credit: Florian Weihmann (Pexels).
Humans, who are limited by slow biological evolution, couldnt compete and would be superseded. On the face of it, a chilling statement made by the late Stephen Hawking. The world-renowned theoretical physicist was speaking of his fears of an unleashed artificial intelligence (AI). The development of full artificial intelligence could spell the end of the human race, he said, It would take off on its own, and re-design itself at an ever-increasing rate.
The role AI will play in tomorrows world has long been debated, with supporters and sceptics often happy to promote the merits of their argument, whilst almost all the time questioning that of the other side. Some people call this artificial intelligence, but the reality is this technology will enhance us. So instead of artificial intelligence, I think well augment our intelligence, counters IBM CEO Ginni Rometty.
For now, what is almost irrefutable is the impact AI has on our everyday life. In many cases, however, we often dont know its there, working in the background to make daily routines that little bit easier, and even safer. They are the hopes of the Greater Toronto Airports Authority (GTAA) which recently announced it would be testing HEXWAVE, an AI-enhanced weapon detection technology.
Pearson International Airport will be one of the test sites for Liberty Defenses system, which uses 3D radar imaging to detect and identify weapons. The intention, in aviation at least, is to use the system at a facilitys perimeter with the hope of identifying threats before they reach the terminal.
Keen to stress the purpose is not to replace security measures, the companys CEO Bill Riker said it would further enhance already employed security systems. As well as its trial at the airport, HEXWAVE will be tested at other venues, such as sports stadiums, shopping centres, education facilities and government sites across North America and Europe.
It is a product that detects metal and non-metal objects, and alerts responders through the use of AI technology, says GTAA director of corporate safety and security Dwayne MacIntosh. He said the Authority is looking at testing it at multiple locations to determine how we can best operationalise such a product in the future during the week-long project, although no date has yet been set.
The AI technology looks for prohibited items and alerts airport responders, who then work to mitigate the incident.
HEXWAVEs 3D imaging capabilities mean it can identify even the smallest of weapons including concealed handguns and knives as well as the likes of bombs and suicide vests with what the company says is a low-energy radar. This scans the outline of the body to reveal any abnormal contours, as well as detecting prohibited items in baggage. While the use of technology like this in this realm isnt new, it is the speed with which HEXWAVE carries out the operation that stands out. Rather than a subject needing to stand still, it can carry out its role on moving targets.
The AI component means the system itself assesses and determines whether an individual poses a threat. The AI technology looks for prohibited items and alerts airport responders, who then work to mitigate the incident, says MacIntosh. It can be used both inside and out and is scalable to any setting, helping manage throughput screening in real-time.
He is a firm believer in the advantages AI can offer sites such as airports. He says it facilitates the tracking and identification of threats, integrated into wider airport systems in such a way that it makes response seamless. Using AI to speed the process of identifying, tracking and dispatching resources allows for faster responses and better threat mitigation, thereby protecting passengers and the airport community, he continues.
However, critics may question whether this might infringe on individuals rights and even privacy. Its a concern MacIntosh wants to dispel, saying the system will simply not collect anyones data. Privacy is as important to us as safety, and we will always take measures to preserve both for passengers and the airport community, he adds.
But are systems of this kind necessary? Since the terror attacks on New York and Washington in September 2001, airport security has changed dramatically. In the last few years, AI technologies have been rolled out, with demand continuing to grow as the sector looks to strengthen itself against evolving threats. They have become increasingly crucial in that battle to stay ahead; indeed in the security sphere, they are becoming integral to the work of personnel.
Although there are new issues such as drones, many of the same concerns that we face today existed a decade ago.
Security scanners boasting AI technologies are fast becoming commonplace. Body scanning similar to HEXWAVE is already being used by some airports; facial recognition and other biotechnologies are now complimenting these systems and assisting the increased physical security presence since 9/11. Although there are new issues such as drones, many of the same concerns that we face today existed a decade ago, says MacIntosh. The difference is that the tools we use to mitigate those issues have continued to advance, giving us greater ability to protect passengers and the airport community.
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Is it right to use artificial intelligence in aviation security? - Airport Technology
Artificial intelligence taking lessons on how to second-guess us – Times of India
'; var randomNumber = Math.random(); var isIndia = (window.geoinfo && window.geoinfo.CountryCode === 'IN') && (window.location.href.indexOf('outsideindia') === -1 ); console.log(isIndia && randomNumber Currently, AI may do a plausible job at detecting the intent of another person. It may even have a list of predefined, possible responses that a human will respond within a given situation, they said.
However, when an AI system or machine only has a few clues or partial observations to go on, its responses can sometimes be a little, noted the researchers.
What were doing in these early phases is to help machines learn to act like humans based on our daily interactions and the actions that are influenced by our own judgment and expectations so that they can be better placed to predict our intentions, said Lina Yao, a lecturer at UNSW. This may even lead to new actions and decisions of our own, so that we establish a cooperative relationship, Yao said.
The researchers want to see awareness of less obvious examples of human behaviour integrated into AI systems to improve intent prediction. However, doing so is a tall order, as humans themselves are not infallible when trying to predict the intention of another person, the researchers said.
Sometimes people may take some actions that deviate from their own regular habits, which may have been triggered by the external environment or the influence of another persons actions, she said.
Yao and her team are developing a prototype humanmachine interface system designed to capture the intent behind human movement.
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Artificial intelligence taking lessons on how to second-guess us - Times of India
AI and humans will co-exist, not compete, and AI will serve us, not the other way round – The National
If 200 years ago we had a pandemic in China it would reach Europe only years later. Today, when the first cases happen in China, the second wave could be documented in Argentina or New York. The same goes for financial risks.
Many global risks indeed occur at such speeds, and if we want to assess them and search for solutions we must change our attitude by using viable and adaptable methods from physics, chemistry and biology.
The first three industrial revolutions were simple to explain. In the first, we discovered how to burn fuel to mechanise production; in the second, we used electricity to make our lives better; and in the third, we learned how to use computers.
Even as the world is passing through the fourth industrial revolution where the digital, biological and physical worlds meet in the field of Artificial Intelligence (AI), there is a relatively poor understanding of how new computing technologies will adapt to our natural intelligence.
The world today is changing so fast, I predict that we will not be able to distinguish todays fourth revolution from the fifth or the sixth and so on
Earlier this year, at the Abu Dhabi Sustainability Week, one of the worlds leading platforms for sustainable development, I shared my vision about the future impact of AI. As a former mathematician, physicist and computer scientist who worked on the early models for it, my argument is that there is no tangible reason to be afraid of AI. The beauty of human civilisation is that change, advancement and concern go hand in hand. We need to manage this reality and deliver solutions. I believe AI and humans will co-exist, not compete, and AI will serve us, not the other way round. Moreover, just as every previous revolution ended up creating far more jobs than it displaced, the same will happen with the fourth industrial revolution. And these new jobs will benefit both men and women.
The world today is changing so fast, I predict that we will not be able to distinguish todays fourth revolution from the fifth or the sixth and so on.
Each previous transformation was met with concern about how it would affect our lives and whether it would take away jobs from the Luddites who fought against mechanisation to the fear that computers would put us all out of work.
The traditional construct of global politics is undergoing an adaptation. All of this implies that we urgently need to upskill our existing workforce. The growing deficit of radically new ideas and the need for non-standard solutions induces the need for a broader range of skills and talents than in the past.In the classical political prism, what mattered were organised forms of connectivity: tribes, nations, religions, ideologies, parties and political institutions. In that context, the quantum political world moved in faster, unpredictable and seemingly random ways. Now, we are in a new era of quantum politics, quantum behaviour and quantum impact, which also makes it difficult to see the whole picture, because it is all new and global too.
While for us humans the entire picture may still appear blurry, AI is here to help us. With billions of dollars being invested, we are reaping the fruits of AI in medicine, space exploration and other sciences. This is the future and it will alter our understanding and change our lifestyle. The gradual integration of AI from science to the every day has already started to serve as a driving force of technological and civilisational progress. Schools, institutions, universities need to adapt themselves to these new realities, first to stay competitive, and then to be effectively involved in building our common future.
In my soon-to-be-released book Quantum Behaviour of Global Risks, I try to explain how global risks become quantum. We need to understand that the way human life is evolving in a digital world, it must factor in risks such as pandemics, terrorism and financial crises.
One upshot of this is that women will have more opportunities than they have had in the past. The unique experience of many women as nurturers and social carers has been at the heart of many cultures and has been vital for sustaining societies. If we can harness such experiences to build sustainable relations in business, and leverage them better through technology, then we will succeed in the future. The question is, are leaders wise enough to give women more opportunities to tackle the world's challenges?
The way we are working now will have to change in the future. If you look back to Isaac Newtons time, there were perhaps 1,000 people in the world who were studying advanced mechanics. In Einsteins day, he was one of maybe 10,000 scientists researching quantum physics.
How many people today do we have engaged in scientific research and development around the world, from scientists in laboratories at major universities to kids working in their basements? How many Newtons, how many Einsteins are potentially out there? And how many do we risk losing if we exclude 50 per cent of the population?
In Armenia, we have long acknowledged the importance of treating men and women equally. The First Armenian Republic of 1918-20 was one of the first states to give women the right to vote and to be elected to Parliament. The first female ambassador of modern times was also a woman Dr Diana Abgar, who served as the Republics ambassador to Japan.
Of course, our country today faces many challenges, but we are embracing technology to drive us forward Armenia is one of the start-ups of the 21st Century. Our Advanced Tomorrow initiative will help us to leverage science and technology and deliver a better future for all men and women together.
Armen Sarkissian is the President of the Republic of Armenia
Updated: March 22, 2020 10:26 AM
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AI and humans will co-exist, not compete, and AI will serve us, not the other way round - The National
Is Your Company Using Artificial Intelligence To Transform An Industry? Nominations For The Forbes 2020 AI 50 List Are Now Open – Forbes
Is AI core to growing your business?
Artificial intelligence technology is powering big changes across all industries, but its tough to separate out the companies with truly transformative applications from marketing hype. Thats why Forbes is compiling a list of promising startups that are emerging as leaders in this space.
Is AI at the heart of what your company does, not just a driver for an auxiliary business or way to improve an existing product? We want to hear from you.
Nominations are now open for the second annual Forbes AI list, which seeks to highlight private companies that are applying artificial intelligence to solve problems in innovative ways.
Forbes, in partnership with Sequoia Capital and Meritech Capital, will evaluate hundreds of companies based on metrics including revenue, growth and valuation, with a panel of experts weighing in on how innovative and mission-critical each companys use of AI is (versus buzzwords thrown onto a slide-deck).
We welcome any U.S.-based private company to apply by filling out this form by Friday, April 10. The number of nominations wont influence our selection, so stick to just one per company, please.
We look forward to hearing from you!
Artificial Intelligence is Becoming the Future of Investment Platforms – EnterpriseTalk
How can AI help in investment decisions? And if there are challenges, how does your platform help to resolve those challenges?
As to why investors in general need AI, there are enormous amounts of data out there, and there is an ongoing battle over that available data. The industry as a whole now produces all kinds of data-based financial reporting and statements, and investors and industry players alike can buy really well-structured data as a result. AI has the ability to study massive amounts of this data and identify patterns.
Let us assume we identified a stock pattern today, and we want to figure out what to do next: buy or sell. AI can find somewhat similar patterns that existed in history and then analyze what happened right after. Knowing what happened after the pattern in the past may suggest what may happen in the future from today.
How Bots Are Altering the Future of Enterprise
We can identify patterns for stocks, Forex, ETFs, mutual funds, and even currencies. With that said, some patterns will not work for certain stocks; that is why people need a complete picture, including discovery, testing, and a presentation of results.
What if there is a challenge and if they are having a problem identifying the patterns? How does then AI support this kind of investor?
Challenges can also be patterns. Let us assume there is a significant drop in the market today; AI can go back through historical data and find similar significant drops in the market to come to pattern-based conclusions, such as which particular stocks continue to go down and which stocks tend to quickly bounce back. And in that regard, AI helps to solve the challenges in conjunction with human involvement, where humans can take these signals and use them for making better trading decisions.
That perspective raises the question: can AI effectively trade or manage a portfolio without any human involvement? So far, there is only one recorded example, a hedge fund claiming no human involvement. In all other cases, at this moment, humans have some kind of involvement. Today, the best minds in the finance industry are working on solutions that can help interpret challenges or anomalies in the market, including significant drops or significant jumps. Beyond AI, many companies use robots to work on these solutions, too. They look at the expense ratio and come up with the best-case scenario we are talking about the fully automated robots which can solve the challenges that arise.
Are there any security challenges in data processing of this type?
Data security challenges are the same whether AI is involved or not you have to be secure either way. With that said, you do need to protect against the black swans when something unexpected happens, and the AI can react and perform a problematic money maneuver.
Voice-based AI Assistant Certainly the Future of Workplace
Think about the verification challenges when people put driverless cars on autopilot, and the driverless car sees something unexpected. There is a chance it will crash, like Tesla demonstrated recently when the human fully relied on autopilot. When it comes to AI and investing a lot of money could be on the line.
So you see AI as a future of investment platforms? How is your platform leveraging AI differently?
Ans: Yes, absolutely. It is an enormous amount of power, and no human being can compete with the speed and volume of this power when applied to trade.
Here is the main difference with AI in our approach: to make it convenient for our users, we test a lot of strategies in advance, and that means that a typical investor gets access to a secure cloud. In our secure, local cloud, we run a lot of pre-calculations over different strategies. We run tens of thousands of different strategies simultaneously. We dont know what is going to happen with these tens of thousands of strategies, but we know that if the user on our site wants to use one of them, then it is going to be pre-calculated. That way, the person has more immediate access to our data and analysis. And that is our main feature that a person can use our AI on request.
Rebirth of Industries in the Era of Intelligent Automation
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Artificial Intelligence is Becoming the Future of Investment Platforms - EnterpriseTalk
Artificial intelligence myths: Reality check – Livemint
Very few subjects in science and technology have caused much excitement right now as artificial intelligence as some of the worlds brightest minds have said that its potential to revolutionise all aspects of our lives.
AI makes it practical for machines to understand from experience, act human-like jobs, and adapt to the latest inputs. The concept works by amalgamating enormous data with quick, smart algorithms, and iterative processing, enabling the software to decipher by analysing patterns in the data in an automatic way.
There is science and well thought algorithm behind all the artificial solutions, where you need to set up proper expectations and clarification to avoid any rumours and myths around the outputs.
While the notion of AI is turning into a massive component of business and consumer transformations, its execution is generally stagnated because of some misconceptions associated with it.
Myth 1: AI will deliver magical resultsimmediately
The path to AI success is hard and takes time, and not just because of the technology. You also need a strategic framework and an iterative approach to avoid delivering a random set of disconnected AI solutions. The temptation is to go for moonshots to deliver the magic, but such projects often fail to live up to expectations because you dont have the basics homework done.
AI is not a magic, it requires rigour, logical thinking and long term strategy with a patience to do multiple iteration to get to the result.
Myth 2: AI Will Replace Human Jobs
Most of the times, management look at AI solutions to replace human and reduce the operational cost, creating a sense of fear among the employees.
So, if you think that AI solutions might strip human from their jobs, then you are undeniably wrong.
Reality is, AI and human need each other. AI is at its most valuable when it augments peoples capabilities. It can remove the duplicate work, freeing people up for more strategic activities. That has the added benefit of making people more motivated, productive, and loyal. Enterprise AI also relies on people to feed it the right data and work with it the right way. Often, AI doesnt provide conclusive answers to issues, but rather highly informed recommendations that an actual human can weigh to make the final decision.
Myth 3: AI Implementation Needs Huge Investment
Artificial developments resolutions appear to be tremendously scientific and complicated. This inclination recommends that just a modern tech organisation, including Google, Amazon, or Apple, with an extended team of experts and billion-dollar budgets can pay for implementing AI. In reality, there are a lot of smart tools existing for an enormous variety of organisation, which can be utilised to implement AI in their business procedures.
Myth 4: AI Algorithms are Competent to Process Any Data
Most of you must believe that ML algorithms are one of the most crucial elements in the entire system. An algorithm might appear to be robust and linked with the human brain, which can make intellect of any untidy data.
It is not possible, for algorithms, to make decisions without human intervention as they dont have magic power. It requires a specific piece of data to get impeccable results.
Myth 5: AI will Conquer Humanity
Machines are powerless to imagine similar to people and will barely be taught to do so. In fact, computers are going to have an optimistic impact on the world by supporting people in a lot of fields, building innovative business models, communities, and skills. Its certainly true that the advent of AI and automation has the potential to seriously disrupt labour and in many situations it is already doing just that. However, seeing this as a straightforward transfer of labour from humans to machines is a vast over-simplification. In fact, a lot of AI focus has been on reducing the drudgery" of day-to-day aspects of the work. AI gives an opportunity to upgrade your skills and move up in your career ladder at the same time.
About the Author: A technology and product leader, Rahul Kumar is Group Chief Product Officer with HT Media Group. An alumni of BIT Mesra, who later on honed his technology management skills from IIT Delhi, has been leveraging AI, ML and IOT to solve business and consumer problems across technology led startups and conglomerate.
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Artificial intelligence myths: Reality check - Livemint
On the Role of Artificial Intelligence in Genomics to Enhance Precisio | PGPM – Dove Medical Press
scar lvarez-Machancoses,1,2 Enrique J DeAndrs Galiana,1 Ana Cernea,1 J Fernndez de la Via,1 Juan Luis Fernndez-Martnez2
1Group of Inverse Problems, Optimization and Machine Learning, Department of Mathematics, University of Oviedo, Oviedo 33007, Spain; 2DeepBiosInsights, NETGEV (Maof Tech), Dimona 8610902, Israel
Correspondence: Juan Luis Fernndez-MartnezGroup of Inverse Problems, Optimization and Machine Learning, Department of Mathematics, University of Oviedo, C. Federico Garca Lorca, 18, Oviedo 33007, SpainEmail jlfm@uniovi.es
Abstract: The complexity of orphan diseases, which are those that do not have an effective treatment, together with the high dimensionality of the genetic data used for their analysis and the high degree of uncertainty in the understanding of the mechanisms and genetic pathways which are involved in their development, motivate the use of advanced techniques of artificial intelligence and in-depth knowledge of molecular biology, which is crucial in order to find plausible solutions in drug design, including drug repositioning. Particularly, we show that the use of robust deep sampling methodologies of the altered genetics serves to obtain meaningful results and dramatically decreases the cost of research and development in drug design, influencing very positively the use of precision medicine and the outcomes in patients. The target-centric approach and the use of strong prior hypotheses that are not matched against reality (disease genetic data) are undoubtedly the cause of the high number of drug design failures and attrition rates. Sampling and prediction under uncertain conditions cannot be avoided in the development of precision medicine.
Keywords: artificial intelligence, big data, genomics, precision medicine, drug design
This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution - Non Commercial (unported, v3.0) License.By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms.
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On the Role of Artificial Intelligence in Genomics to Enhance Precisio | PGPM - Dove Medical Press
Artificial intelligence recruited to find clues about Covid-19 – The Star Online
WASHINGTON: US health and technology specialists on March 16 said they had launched a new collaborative venture to assemble a dataset of tens of thousands of scientific papers and literature on the coronavirus, which would then be analysed by artificial intelligence programs to find patterns and answer questions raised by the World Health Organisation about the pandemic.
The dataset includes 29,000 articles, including 13,000 full-text pieces of medical literature, which will be made available on a special website allowing data scientists and artificial intelligence programmers to propose tools and software code that can unearth insights from the articles, White House officials and experts told reporters in a conference call.
The venture came together after the White House Office of Science and Technology Policy issued a call to tech companies and research groups to figure out how artificial intelligence tools could be used to sift through thousands of research articles being published worldwide on the pandemic, said Lynn Parker, deputy chief technology officer at the White House office.
With data scientists and machine language experts mining the literature compilation known as Covid-19 Open Research Dataset, experts and White House officials expect to get help developing vaccines, forming new guidelines on how long social distancing should be maintained and other insights, Michael Kratsios, the US chief technology officer said.
The venture includes the National Library of Medicine, which is part of the National Institutes of Health, Microsoft, Allen Institute of AI, Georgetown University's Center for Security and Emerging Technology, the Chan Zuckerberg Initiative (named for Mark Zuckerberg, Facebook's founder, and his wife Priscilla Chan), and Kaggle, which is a unit of Google.
The Allen Institute's Semantics Scholar website will host the database of scientific articles and add to the collection over time, while Kaggle's platform, which provides access to about 4 million artificial intelligence researchers, will receive suggestions from the experts on tools and codes to use to mine the database, experts from both organisations said.
Scientists have been working and publishing their findings on various strains of coronavirus over the years, including other variants such as SARS, MERS, and the latest, Covid-19. The application of artificial intelligence tools to look for commonalities and differences among the thousands of such published articles will help the scientists spot things they may have missed, Eric Horvitz, Microsoft's chief scientific officer said.
"It's difficult for people to manually go through more than 20,000 articles and synthesise their findings," Anthony Goldbloom, co-founder and CEO of Kaggle said. "Recent advances in technology can be helpful here. We're putting machine readable versions of these articles in front of our community of more than 4 million data scientists. Our hope is that AI can be used to help find answers to a key set of questions about Covid-19."
"Sharing vital information across scientific and medical communities is key to accelerating our ability to respond to the coronavirus pandemic," said Cori Bargmann, head of science at the Chan Zuckerberg Initiative. "The new Covid-19 Open Research Dataset will help researchers worldwide to access important information faster."
Publishers of scientific journals and literature have agreed to make their full articles available to researchers so that machine learning algorithms can look for key insights from them, the experts said. As scientists around the world continue to publish new research, journal publishers have agreed to provide those articles in electronic form ahead of their printed versions, they said. CQ-Roll Call/Tribune News Service
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Artificial intelligence recruited to find clues about Covid-19 - The Star Online