>
Investors are hedging against corporate defaults at a record pace:
Physicists captured a crystal made only of electrons, forming a honeycomb pattern without atoms...
US Treasury Largest Debt Buyback
BlackRock TCP Capital's Loan Write-Downs Masked by Restructurings
DARPA O-Circuit program wants drones that can smell danger...
Practical Smell-O-Vision could soon be coming to a VR headset near you
ICYMI - RAI introduces its new prototype "Roadrunner," a 33 lb bipedal wheeled robot.
Pulsar Fusion Ignites Plasma in Nuclear Rocket Test
Details of the NASA Moonbase Plans Include a Fifteen Ton Lunar Rover
THIS is the Biggest Thing Since CGI
BACK TO THE MOON: Crewed Lunar Mission Artemis II Confirmed for Wednesday...
The Secret Spy Tech Inside Every Credit Card
Red light therapy boosts retinal health in early macular degeneration

While AI systems can match many human capabilities, they take 10 times longer to learn. Now, by copying the way the brain works, Google DeepMind has built a machine that is closing the gap.
Intelligent machines have humans in their sights. Deep-learning machines already have superhuman skills when it comes to tasks such as face recognition, video-game playing, and even the ancient Chinese game of Go. So it's easy to think that humans are already outgunned.
But not so fast. Intelligent machines still lag behind humans in one crucial area of performance: the speed at which they learn. When it comes to mastering classic video games, for example, the best deep-learning machines take some 200 hours of play to reach the same skill levels that humans achieve in just two hours.
So computer scientists would dearly love to have some way to speed up the rate at which machines learn.