«The potential to give individual police officers facial-recognition technology in sunglasses could eventually make China’s surveillance state all the more ubiquitous» – William Nee.
Source : Chinese Police Add Facial-Recognition Glasses to Surveillance Arsenal – WSJ
«The time between calling 911 and the ambulance arriving can be critical for saving heart attack victims, but the person on the phone may not know what’s happening: this AI parses non-verbal clues to help diagnose from a distance».
Source : Having A Heart Attack? This AI Helps Emergency Dispatchers Find Out
«Big Blue intends to invest $240 million into the lab where IBM researchers and MIT students and faculty will work side by side to conduct advanced AI research».
Source : IBM and MIT pen 10-year, $240M AI research partnership | TechCrunch
«Google’s AI chief isn’t fretting about super-intelligent killer robots. Instead, John Giannandrea is concerned about the danger that may be lurking inside the machine-learning algorithms used to make millions of decisions every minute».
Source : Forget Killer Robots—Bias Is the Real AI Danger – MIT Technology Review
«Neural nets are just thoughtless fuzzy pattern recognizers, and as useful as fuzzy pattern recognizers can be—hence the rush to integrate them into just about every kind of software—they represent, at best, a limited brand of intelligence, one that is easily fooled. A deep neural net that recognizes images can be totally stymied when you change a single pixel, or add visual noise that’s imperceptible to a human. Indeed, almost as often as we’re finding new ways to apply deep learning, we’re finding more of its limits. Self-driving cars can fail to navigate conditions they’ve never seen before. Machines have trouble parsing sentences that demand common-sense understanding of how the world works.Deep learning in some ways mimics what goes on in the human brain, but only in a shallow way—which perhaps explains why its intelligence can sometimes seem so shallow».
Source : Is AI Riding a One-Trick Pony? – MIT Technology Review
AI needs regulating because the big tech companies have got too big for their own good. And like every other industry sector before it that has got too big – the banks, the oil companies, the telecom firms – regulation is needed to ensure the public good. To ensure that we all benefit and not just the tech elite.
We’re beginning to see the corrosive effects of Facebook’s algorithms on political debate, of Amazon’s dominance of the retail sector, and of Google’s monopoly on search. And it’s hard to know where to begin with a company like Uber. There’s just so much to criticise.
However, the problems today are not caused by super smart AI, but stupid AI.
Source : Elon Musk is wrong. The AI singularity won’t kill us all | WIRED UK
« Over the past week, our bot was undefeated against many top professionals including SumaiL (top 1v1 player in the world) and Arteezy (top overall player in the world). Dota 1v1 is a complex game with hidden information. Agents must learn to plan, attack, trick, and deceive their opponents. The correlation between player skill and actions-per-minute is not strong, and in fact, our AI’s actions-per-minute are comparable to that of an average human player ».
Elon Musk ne comprend peut-être rien à l’IA, mais Tesla et OpenAI ont « un peu » d’avance sur Google, et beaucoup sur Facebook…
Imaginons un monde où le Go serait comme le morpion !
Source : Open AI – Dota 2
« The progress AI is making is far beyond our imagination. […]. I believe the future belongs to AI. But AlphaGo will always be a cold machine. Compared to human, I can’t feel its passion and love for Go. Well, its passion might only come from overheating with the CPU running too fast ». – Ke Jie
« Sur StarCraft II, contrairement aux échecs et au go déjà vaincus, il y a bel et bien ici un facteur physique lié pour partie à l’exécution des tâches à accomplir en jeu qu’il va falloir prendre en compte. Un choix va donc devoir être fait de manière arbitraire de façon à limiter la machine danses possibilités. Ce choix pourrait peser en profondeur sur les résultats que l’on attend de l’IA » – Pierre-Marie Humeau, aka YoGo
« Ford announced plans today to invest $1 billion over the course of five years into a new, previously unheard of artificial intelligence startup called Argo AI. The company, which has operated in secret out of its Pittsburgh headquarters for months, was founded by Bryan Salesky, a multi-year veteran of Google’s self-driving team, and Peter Rander, who led autonomous efforts at Uber up until September 2016. Ford’s goal is to tap into Argo AI’s expertise to help establish the car company as a leader in the autonomous space ».
Source : Ford is giving Google and Uber veterans $1 billion to build a self-driving car brain – The Verge
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