Blogs / 80beats

100 gigahertz of processing power—not bad for a single sheet of atoms.

In a paper in Science, researchers at IBM say they have created the fastest-ever graphene transistor, with a cut-off frequency (the highest it can go without significant signal degradation) that at 100 GHz is nearly four times higher than their previous attempt. Similar silicon-based transistors have only been able to reach a turtle-like clock rate of about 40 GHz, or 40 billion cycles per second.

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An artificial brain as powerful as a human’s remains a distant goal, but scientists are inching closer. This week IBM announced that by using a brain-simulating algorithm called BlueMatter, researchers created an artificial brain simulation that packs more brainpower than a cat.

Researchers used an IBM supercomputer at the Lawrence Livermore Lab to model the movement of data through a structure with 1 billion neurons and 10 trillion synapses, which allowed them to see how information “percolates” through a system that’s comparable to a feline cerebral cortex [San Jose Mercury News]. The team’s previous effort two years ago, modeled after a rat brain, simulated only about 55 million neurons.

The staggering surge in computing power has engineers like IBM’s Dharmendra Modha drooling over the possibilities for more brain-like computers. By reverse engineering [the] cortical structure, Modha says, researchers could give machines the ability to interpret biological senses such as sight, hearing and touch. And artificial machine brains could process, intelligently, senses that don’t currently exist in the natural world, such as radar and laser range-finding [Popular Mechanics].

It should come as no surprise that the design suggests such military applications, as DARPA provided much of the funding. But like the Internet and other technologies originally developed for the military, BlueMatter’s abilities could lead in a multitude of directions. “As our digital and physical worlds collide, there is a tsunami of information,” Modha said. “There is a need for a new kind of intelligence that can sort through, prioritize and extract the most important information, much like how the brain deals with sight, sounds, tastes, touch and smell” [San Jose Mercury News].

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Image: IBM Almaden research lab, Stanford University

Each year, as electronic devices get smaller and capable of performing more outlandish functions, engineers in the back rooms of computer chip manufacturers sweat a little more. The exponentially-increasing number of transmitters that can be placed on a circuit board (a phenomenon known as Moore’s law) brings with it one major technological obstacle: a rise in heat produced by the electrons that zip through the tiny wires on each chip.

Computer engineers have experimented with many different solutions to the heat problem, including fans and heat sinks. Yesterday, IBM announced a radically new approach, and unveiled stacks of chips cooled by thousands of hair-thin pipes filled with flowing water.

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