Brain-Like Chip May Solve Computers' Big Problem: Energy

The future of computing may depend on embracing the chaos that defines human thinking.

By Douglas Fox
Nov 6, 2009 6:00 AMNov 12, 2019 4:50 AM
boahen_kwabena1.jpg
Image: Kwabena Boahen/Stanford University | NULL

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Kwabena Boahen’s love affair with digital computers began and ended in 1981, when he was 16.

Boahen lived outside the city of Accra in the West African nation of Ghana. His family’s sprawling block house stood in a quiet field of mango and banana trees. One afternoon Boahen’s father rolled down the driveway with a surprise in the trunk of his Peugeot: a RadioShack TRS-80—the family’s first computer—purchased in England.

Young Boahen parked the machine at a desk on the porch, where he usually dismantled radios and built air guns out of PVC pipe. He plugged the computer into a TV set to provide a screen and a cassette recorder so he could store programs on tapes, and soon he was programming it to play Ping-Pong. But as he read about the electronics that made it and all other digital computers work, he soured on the toy.

Moving the Ping-Pong ball just one pixel across the screen required thousands of 1s and 0s, generated by transistors in the computer’s processor that were switching open and shut 2.5 million times per second. Boahen had expected to find elegance at the heart of his new computer. Instead he found a Lilliputian bureaucracy of binary code. “I was totally disgusted,” he recalls. “It was so brute force.” That disillusionment inspired a dream of a better solution, a vision that would eventually guide his career.

Boahen has since crossed the Atlantic Ocean and become a prominent scientist at Stanford University in California. There he is working to create a computer that will fulfill his boyhood vision—a new kind of computer, based not on the regimented order of traditional silicon chips but on the organized chaos of the human brain. Designing this machine will mean rejecting everything that we have learned over the past 50 years about building computers. But it might be exactly what we need to keep the information revolution going for another 50.

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