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Two years ago Stanford professor Andrew Ng joined Google?s X Lab, the research group that?s given us Google Glass and the company?s driverless cars. His mission: to harness Google?s massive data centers and build artificial intelligence systems on an unprecedented scale.
System understands driver's personal preferences to deliver a more meaningful experience behind the wheel VAN BUREN TOWNSHIP, Mich., May 17, 2013 /PRNewswire/ -- Would you like your vehicle to suggest a different route to or from work when there are unexpected delays on your regular course? What if your vehicle's cabin temperature adjusted automatically based on your preferences and the outside temperature?
At first glance it looks like Phil Wu is just another guy wearing glasses. But take a second look and you realize there's something missing ?
For all the talk of artificial intelligence and all the games of SimCity that have been played, no one in the world can actually simulate living things. Biology is so complex that nowhere on Earth is there a comprehensive model of even a single simple bacterial cell.
And yet, these are exciting times for "executable biology," an emerging field dedicated to creating models of organisms that run on a computer. Last year, Markus Covert's Stanford lab created the best ever molecular model of a very simple cell. To do so, they had to compile information from 900 scientific publications. An editorial that accompanied the study in the journal Cell was titled, "The Dawn of Virtual Cell Biology."
The three organizations have joined forces to install a D-Wave Two, the computer company's latest model, in a facility launched by the collaboration — the Quantum Artificial Intelligence Lab at NASA's Ames Research Center in Moffett Field, California. The lab will explore areas such as machine learning — making computers sort and analyse data on the basis of previous experience.
Echoing a company belief in autonomous systems, clever algorithms, and replacing fallible humans with smart machines, Google's venture capital arm announced yesterday that it is investing $10.7 million in a company that makes drone brains. The company, Airware, builds autopilots for unmanned aerial systems.
It's either the most exciting technology product of recent years, or the 21st Century equivalent of the Sinclair C5. It promises to reshape our relationship with the online world - or turn us all into cyborgs, invading each other's privacy with careless abandon.
How will a mass influx of robots affect human employment?
In Kevin Drum's latest feature, he imagines a bleak future where robots begin taking all of our jobs. Though he predicts this will happen about three decades from now, the concept obviously isn't new.
Sitting motionless in her wheelchair, paralysed from the neck down by a stroke, Cathy Hutchinson seems to take no notice of the cable rising from the top of her head through her curly dark hair. Instead, she stares intently at a bottle sitting on the table in front of her, a straw protruding from the top.
There's a theory that human intelligence stems from a single algorithm. The idea arises from experiments suggesting that the portion of your brain dedicated to processing sound from your ears could also handle sight for your eyes.