The neural networks behind recent AI advances are powerful things, but they need a lot of juice. Engineers at MIT have now developed a new chip that cuts neural nets’ power consumption by up to 95 percent, potentially allowing them to run on battery-powered mobile devices.
XPrize contests are nothing if not examples of big picture thinking. The organization has just announced a new initiative to accelerate the development of real-life robotic avatars, which could one day be used to remotely carry out tasks like care-giving or disaster relief from miles away.
When? This is probably the question futurists, AI experts, and even people with a keen interest in technology dread most. It’s been famously difficult to predict when developments in AI will take place. Stanford’s new AI Index aims to clarify the situation by regularly defining and measuring AI progress.
HUMANS of the future could have enormous lungs to live in underwater kingdoms, or biohacked brains where memories can be bought and sold for a fee.
Artificially intelligent nano-machines will be injected into humans within 20 years to repair and enhance muscles, cells and bone, a senior inventor at IBM has forecast.
Mensa accepts human geniuses with an IQ of 130.
The AI genius, who has built out his virtual BabyX from a laughing, crying head, sees a symbiotic relationship between humans and machines.
“Generative” neural networks teach themselves to guess realistic passwords