
Simulating the brain with traditional chips would require impractical megawatts of power. One scientist has an alternative
According to Kwabena Boahen, a computer scientist at Stanford University, a robot with a processor as smart as the human brain would require at least 10 megawatts to operate. That's the amount of energy produced by a small hydroelectric plant. But a small group of computer scientists may have hit on a new neural supercomputer that could someday emulate the human brain's low energy requirements of just 20 watts -- barely enough to run a dim light bulb.<br />












