Penn Engineers have developed the first programmable chip that can train nonlinear neural networks using light—a breakthrough ...

Co-fonder and CTO, Paul Masters, described a novel way to arrange the elements of a chip to do both machine learning "training" -- where the neural network is developed -- as well as "inference ...

It’s a dual-core, RISC-V chip running at 400MHz. There’s 6 MB of SRAM on the CPU, and there’s 2MB for convolutional neural network acceleration. There is, apparently, WiFi on some versions.

For now, the company is selling the device as a way to train "biological AI," meaning neural networks that rely on actual neurons. In other words, the neurons can be "taught" via the silicon chip.

Why it matters: The achievement changes how scientists can study brain connectivity, enabling unprecedented insights into neural networks that ... a sophisticated CMOS chip that introduces several ...

Intel is firing back at Nvidia's growing prominence in artificial intelligence with the launch of its Nervana Neural Network processors ... NNP-T1000 and NNP-I1000 chips for deep learning training ...