IBM and Lawrence Livermore National Laboratory have launched a new project to build a brain-inspired supercomputing platform for deep learning inference.
The project will be built on IBM’s TrueNorth chip, which the company claims will process the equivalent of 16 million neurons and 4 billion synapses and consume the energy equivalent of a tablet computer. The neural network design of IBM’s Neuromorphic System aims to be able to infer complex cognitive tasks such as pattern recognition and integrated sensory processing in a much more economical manner than current chips.
“The delivery of this advanced computing platform represents a major milestone as we enter the next era of cognitive computing,” said Dharmendra Modha, Chief Scientist for Brain-inspired Computing at IBM Research. “We value our relationships with the national labs. In fact, prior to design and fabrication, we simulated the IBM TrueNorth processor using LLNL’s Sequoia supercomputer. This collaboration will push the boundaries of brain-inspired computing to enable future systems that deliver unprecedented capability and throughput, while helping to minimize the capital, operating and programming costs – keeping our nation at the leading edge of science and technology.”
And they will build it long before Google or anyone else does. To read more, click here.