2018-02


Transforming Robotic Steering Wheel Is a Reminder That Your Car Needs You

IEEE Spectrum

Most of the autonomous vehicles that you're likely to encounter in the near future are either Level 2 or Level 4 autonomous. Level 2, which you'll find in a Tesla on the highway, means that the car drives itself in specific situations but expects you to be paying attention the entire time. Level 4 y...



People freaked out after robot dogs opened a door. Now they're resisting humans.

General News Tweet Watch

In one of the scariest moments in the movie "Jurassic Park," a pair of intelligent Velociraptors, brought back to Earth by man's hubris, defy an assumption about their limitations: They open a kitchen door. Now imagine that the raptors are real, transformed into headless robot dogs that can negoti...


Why Self-Taught Artificial Intelligence Has Trouble With the Real World Quanta Magazine

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Until very recently, the machines that could trounce champions were at least respectful enough to start by learning from human experience.


Autonomous Cars Are About To Transform The Suburbs

Forbes Europe

Technicians analyze data following the trial of an autonomous self-driving vehicle in a pedestrianised zone, during a media event in Milton Keynes, north of London, on October 11, 2016. Suburbs have largely been dismissed by environmentalists and urban planners as bad for the planet, a form that ne...


The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation

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In the coming decades, artificial intelligence (AI) and machine learning technologies are going to transform many aspects of our world. Much of this change will be positive; the potential for benefits in areas as diverse as health, transportation and urban planning, art, science, and cross-cultural understanding are enormous. We've already seen things go horribly wrong with simple machine learning systems; but increasingly sophisticated AI will usher in a world that is strange and different from the one we're used to, and there are serious risks if this technology is used for the wrong ends.


Deep learning for biology

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The brain's neural network has long inspired artificial-intelligence researchers.Credit: Alfred Pasieka/SPL/Getty


Why Artificial Intelligence Researchers Should Be More Paranoid

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Life has gotten more convenient since 2012, when breakthroughs in machine learning triggered the ongoing frenzy of investment in artificial intelligence. Speech recognition works most of the time, for example, and you can unlock the new iPhone with your face.



Why even a moth's brain is smarter than an AI

#artificialintelligence

One of the curious features of the deep neural networks behind machine learning is that they are surprisingly different from the neural networks in biological systems. While there are similarities, some critical machine-learning mechanisms have no analogue in the natural world, where learning seems to occur in a different way.