Elon Musk Calls out Mark Zuckerberg’s ‘Limited’ Understanding of Artificial Intelligence

Elon Musk Calls Out Mark Zuckerberg's 'Limited Understanding' of Artificial Intelligence

  • Tesla chief executive Elon Musk shot back at Facebook CEO Mark Zuckerberg on Tuesday for saying people worried about artificial intelligence — the capability of machines to perform tasks usually reserved for humans — are “pretty irresponsible,” in a recent Facebook Live interview.
  • Musk has been one of the most prominent voices in tech warning of the potential dangers of unchecked artificial intelligence, saying it’s humanity’s “biggest existential threat,” and the “greatest risk we face as a talked to Mark about this.
  • — Elon Musk (@elonmusk) July 25, 2017

    Beyond AI coming to take everyone’s job in the next 50 years, Musk has been more concerned with the plausible threat of machines moving beyond “narrow AI” — expertise in specific fields — and learning at a more rapid rate than humans can.

  • He co-founded OpenAI in 2015, a research company aiming to build “safe AI” through a collaborative effort, rather than individual companies having an arms Rad Projects Elon Musk Has Worked On Musk has been at the forefront of Silicon Valley innovation for two decades.
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    The real-life Tony Stark is the poster boy for Silicon Valley Musk has been at the forefront of Silicon Valley innovation for two decades.

Tesla CEO Elon Musk took issue with Mark Zuckerberg’s recent comments on artificial intelligence, saying the Facebook CEO’s knowledge is “limited”
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Watch the livestream of the 2017 Microsoft Research Faculty Summit—The Edge of AI

Join us July 17 & 18 for Faculty Summit 2017 - The Edge of #AI

  • By Evelyne Viegas, Program Co-Chair of Faculty Summit and Director, Microsoft

    We are looking forward to another informative Microsoft Research Faculty Summit (July 17-18, 2017) where this year’s theme is The Edge of AI.

  • The event will consist of keynotes, sessions, panels, and showcased technologies.
  • The summit brings together thought leaders and researchers from a broad range of disciplines including computer science, social sciences, human design and interactions, and policy.
  • Microsoft AI researchers are striving to create intelligent machines that complement human reasoning, and amplify human ingenuity with intelligent technology.
  • At the core, is the ability to harness the explosion of digital data and computational power with advanced algorithms that extend the ability for machines to learn, reason, sense and understand—enabling collaborative and natural interactions between machines and humans.

We are looking forward to another informative Microsoft Research Faculty Summit (July 17-18, 2017) where this year’s theme is The Edge of AI.
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9 Artificial Intelligence Startups in Medical Imaging

9 Artificial Intelligence Startups in Medical Imaging

  • Just a few days ago, an artificial intelligence (AI) algorithm named Libratus beat four professional poker players at a no-limit Texas Hold ‘Em tournament played out over 20 days.
  • The AI algorithm did exceptionally well and was utilizing strategies that humans had never used before.
  • It’s no secret that AI is now performing certain medical imaging tasks better than human doctors.
  • Pundits say “well, people will always trust a human doctor over an AI” and the answer we’d have to that is “not if the AI is going to give a more accurate answer “.
  • It’s only a matter of time before every X-ray machine is connected to the cloud and one human doctor per hospital puts his hand on your shoulder when he reads you the output from the AI algorithm.

You don’t have to be a gambler to appreciate the complexities of the card game Texas Hold ‘Em. It involves a strategy that needs to evolve based on the players around the table, it takes a certain amount of intuition, and it doesn’t require the player to win every hand. Just a few days ago, an artificial intelligence (AI) algorithm named Libratus beat four professional poker players at a no-limit Texas Hold ‘Em tournament played out over 20 days.
If you have even the slightest understanding of how to write code, you would realize that it is impossible to actually code a software program to do that with such “imperfect information”. The AI algorithm did exceptionally well and was utilizing strategies that humans had never used before. Professional poker players are in no danger of losing their jobs, but the incredible capabilities of what AI is mastering these days should make everyone wonder just how safe their jobs actually are.
Let’s take the $3 billion medical imaging market. It’s no secret that AI is now performing certain medical imaging tasks better than human doctors. Pundits say “well, people will always trust a human doctor over an AI” and the answer we’d have to that is “not if the AI is going to give a more accurate answer “. It’s only a matter of time before every X-ray machine is connected to the cloud and one human doctor per hospital puts his hand on your shoulder when he reads you the output from the AI algorithm. Kind of like this:
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Jack Ma: Artificial Intelligence Will Bring a Four-Day Week

Jack Ma says a 4-day work week is coming soon

  • “I think in the next 30 years, people will only work four hours a day and maybe four days a week,” Ma said Tuesday during a CNBC interview at the Gateway ’17 Conference.
  • We work eight hours, five days a week and think we are very busy.”
  • The Chinese billionaire also addressed the rise of artificial intelligence, advocating that machines shouldn’t be made to replicate human behavior.
  • “I don’t think we should make machines like humans,” Ma said.
  • “The third technology revolution may cause the Third World War,” Ma told CNBC.

Alibaba founder Jack Ma thinks artificial intelligence will revolutionize the work week, and make it shorter for humans
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Robot Uses Deep Learning and Big Data to Write and Play its Own Music

Using #ai + #bigdata this #robot from @GeorgiaTech can write and play its own music

  • “Once Shimon learns the four measures we provide, it creates its own sequence of concepts and composes its own piece,” said Bretan, who will receive his doctorate in music technology this summer at Georgia Tech.
  • “Shimon’s compositions represent how music sounds and looks when a robot uses deep neural networks to learn everything it knows about music from millions of human-made segments.”
  • Bretan says this is the first time a robot has used deep learning to create music.
  • Shimon was created by Bretan’s advisor, Gil Weinberg, director of Georgia Tech’s Center for Music Technology.
  • In the first piece, Bretan fed Shimon a melody comprised of eighth notes.

Shimon, a four-armed, marimba playing robot, is writing and playing its own music using deep learning. This is the first of its two songs.
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Experts Predict When Artificial Intelligence Will Exceed Human Performance

  • They surveyed the world’s leading researchers in artificial intelligence by asking them when they think intelligent machines will better humans in a wide range of tasks.
  • And many of the answers are something of a experts that Grace and co coopted were academics and industry experts who gave papers at the International Conference on Machine Learning in July 2015 and the Neural Information Processing Systems conference in December 2015.
  • These are two of the most important events for experts in artificial intelligence, so it’s a good bet that many of the world’s experts were on this list.Grace and co asked them all—1,634 of them—to fill in a survey about when artificial intelligence would be better and cheaper than humans at a variety of tasks.
  • Grave and co then calculated their median responsesThe experts predict that AI will outperform humans in the next 10 years in tasks such as translating languages (by 2024), writing high school essays (by 2026), and driving trucks (by 2027).
  • It’s easy to think that this gives the lie to these predictions.The experts go on to predict a 50 percent chance that AI will be better than humans at more or less everything in about 45 years.That’s the kind of prediction that needs to be taken with a pinch of salt.

Trucking will be computerized long before surgery, computer scientists say.
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Cars are learning to hear like humans and self-diagnose problems

Hear that? Your #car just did - ! 🚗 #iot #ai

  • Just like humans identify whether or not there is a problem with the car by hearing odd sounds coming from the engine or by hearing creaking sounds, cars can identify as well.
  • Their software can give cars the ability to diagnose problems themselves by simply hearing anomalous sounds coming from the car and/or the environment.
  • They are testing the tech by providing it with many sounds that come from their cars.
  • This can be a huge boost as one of the important factors of customer dissatisfaction is odd noises coming from a car and not being able to locate the problem.
  • Other than diagnosing problems, this tech can also be used to help cars in perceiving their environment.

Intelligent machines are not only trying to learn and act like humans, they are beginning to sense their environment like them as well. Latest among them are cars that are getting a sense of hearing that would allow them to enhance their intelligence level by perceiving their environment like humans do.
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