Nvidia CEO: Software Is Eating the World, but AI Is Going to Eat Software

Nvidia CEO: “Software is eating the world, but #AI is going to eat software” on @techreview

  • At the company’s annual developer conference in San Jose, California, this week, the company’s CEO Jensen Huang spoke to MIT Technology Review about how the machine-learning revolution is just starting.Nvidia has benefitted from a rapid explosion of investment in machine learning from tech companies.
  • Software is eating the world, but AI is going to eat software.What industry will be transformed by machine learning next?
  • Arterys recently got FDA approval for their cardiac imaging [which annotates scans of the heart], and I know of many others that are in the pipeline.Using machine learning in cars will also create new challenges for regulators.
  • We probably have to break down some of these problems into smaller chunks.Your chips are already driving some cars: all Tesla vehicles now use Nvidia’s Drive PX 2 computer to power the Autopilot feature that automates highway driving.
  • I’m not exactly sure, but we’ll find out.Intel, Google, and several other companies are now working on chips designed to accelerate machine learning (see “Battle to Provide Chips for the AI Boom Heats Up”).

Jensen Huang predicts that health care and autos are going to be transformed by artificial intelligence.
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OpenAI will debut a novel approach to machine learning needed to sustain the momentum of AI research

Evolutionary strategies talk by Ilya Sutskever: Comments  #DeepLearning #ML#AI

  • Ilya Sutskever, director of OpenAI, an independent research group, will describe what might be the next big breakthrough in artificial intelligence today at EmTech Digital, a conference organized by MIT Technology Review in San Francisco.
  • The OpenAI researchers compare their evolutionary strategies approach to reinforcement learning, a technique that has produced some impressive results in the past year or so, including enabling a computer to defeat one of the world’s best Go players (see “10 Breakthrough Technologies: Reinforcement Learning”).
  • “This is very interesting and could indeed be the start of something larger,” says Pedro Domingos, a professor at the University of Washington and the author of The Master Algorithm, a book about different machine-learning methods.Domingos questions whether the technique will surpass reinforcement learning, but he adds: “There is a delightful history in machine learning of very simple methods coming along and beating much more complex ones.
  • For instance, deep learning, a technique that involves using very large neural networks to find patterns in data, and which has proved to be a very powerful voice- and image-recognition technique, is rapidly finding applications in medical research and health care.At the same time, however, it has become clear that these technologies alone will not provide the general artificial intelligence that has long been the dream of the field.
  • The tension between new opportunities and the continued need for innovations will be prominent themes at EmTech Digital.Even with the emergence of new machine-learning techniques, such as reinforcement learning and OpenAI’s evolutionary strategies approach, the ultimate goal of the field—some form of artificial general intelligence—remains a distant vision.Still, the spread of powerful machine learning into new industries and areas of daily life will heighten attention on the unintended consequences that may result.Speakers at EmTech Digital will discuss the issue of the bias that can become embedded in machine-learning algorithms that are increasingly used to guide important decisions such as the appropriate length of a sentence for a person convicted of a crime, or who is granted a bank loan.

OpenAI will describe a new machine-learning approach at MIT Technology Review’s EmTech Digital conference.
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Andrew Ng: Why AI Is the New Electricity

What’s slowing down #AI adoption? 

Two problems: scarcity of data and talent. —@AndrewYNg

  • Still, computer scientist and Coursera co-founder Andrew Ng says, fears that AI will replace humans are misplaced: “Despite all the hype and excitement about AI, it’s still extremely limited today relative to what human intelligence is.”
  • “Just as electricity transformed almost everything 100 years ago, today I actually have a hard time thinking of an industry that I don’t think AI will transform in the next several years,” Ng says.
  • “I would say the most scarce resource today is actually talent, because AI needs to be customized for your business context,” Ng says.
  • “Worrying about evil AI killer robots today is a little bit like worrying about overpopulation on the planet Mars.”
  • Evil AI hype, he says, is being used to whitewash a much more serious issue, which is job displacement.

A computer scientist discusses artificial intelligence’s promise, hype, and biggest obstacles.
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What artificial intelligence will look like in 2030

What artificial intelligence will look like in 2030? 
      [via @harvard] #AI #Futurism

  • Harvard Professor Barbara Grosz chairs the AI100 Standing Committee, which has released its first report examining how advances in artificial intelligence might affect urban life in 2030.
  • “Now is the time to consider the design, ethical, and policy challenges that AI technologies raise,” said Grosz.
  • Tackling the ethical and legal quandaries of artificial intelligence with AI pioneer and SEAS professor Barbara Grosz.
  • Every five years for the next 100 years, the AI100 project will release a report that evaluates the status of AI technologies and their potential impact on the world.
  • “But the technology will also create profound challenges, affecting jobs and incomes and other issues that we should begin addressing now to ensure that the benefits of AI are broadly shared.”

New report examines how AI might affect urban life | “Artificial Intelligence and Life in 2030” is the first product of the One Hundred Year Study on Artificial Intelligence (AI100).
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AI will shape health care plans for US veterans

#AI will shape health care plans for US veterans

  • Interpol is using AI to hunt down child predators online
  • The government and Flow Health are counting on deep learning to customize treatments.
  • Twitter acquihires a new VP of product focused on connections
  • The Department of Veterans Affairs and Flow Health have forged a 5-year alliance that will see the two build a massive medical knowledge graph (based on the records of 22 million veterans) that uses deep learning to customize health plans for vets.
  • American veterans needing health care are about to get help from an unusual source: artificial intelligence.

American veterans needing health care are about to get help from an unusual source: artificial intelligence. The Department of Veterans Affairs and Flow Health…
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DeepMind’s health-care app has some concerned about patient privacy

Is DeepMind’s Health-Care App a Solution, or a Problem?  #ai

  • In return, DeepMind gets access to records belonging to over 1.6 million patients who are registered with one of the Royal Free NHS Trust’s three London hospitals.
  • It also points out that patient data is encrypted, and is used only by DeepMind, not the larger organization of Google.
  • Smart machines are beginning to speak to us and act on their own.
  • Machine learning will alert medics to early signs of illness, but some critics argue that too much data is being shared.
  • The project will provide medics across a number of London hospitals with alerts about patients via an app called Streams .

Machine learning will alert medics to early signs of illness, but some critics argue that too much data is being shared.
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What artificial intelligence will look like in 2030

What artificial intelligence will look like in 2030? 
    [via @harvard] #AI #Futurism

  • Harvard Professor Barbara Grosz chairs the AI100 Standing Committee, which has released its first report examining how advances in artificial intelligence might affect urban life in 2030.
  • “Now is the time to consider the design, ethical, and policy challenges that AI technologies raise,” said Grosz.
  • Tackling the ethical and legal quandaries of artificial intelligence with AI pioneer and SEAS professor Barbara Grosz.
  • Over the next 15 years, AI technologies will continue to make inroads in nearly every area of our lives, from education to entertainment , health care to security.
  • Every five years for the next 100 years, the AI100 project will release a report that evaluates the status of AI technologies and their potential impact on the world.

New report examines how AI might affect urban life | “Artificial Intelligence and Life in 2030” is the first product of the One Hundred Year Study on Artificial Intelligence (AI100).
Continue reading “What artificial intelligence will look like in 2030”