AI Chip Architectures Race To The Edge


As machine-learning apps start showing up in endpoint devices and along the network edge of the IoT, the accelerators that make AI possible may look more like FPGA and SoC modules than current data-center-bound chips from Intel or Nvidia. Artificial intelligence and machine learning need powerful chips for computing answers (inference) from large data sets (training). Most AI chips—both tr... » read more

AI Accelerator Gyrfalcon Soars Post Stealth


Milpitas, Calif.-based startup Gyrfalcon Technology Inc. (GTI), which emerged from semi-stealth mode in September, recently announced the datacenter-focused second generation of its neural-network accelerator, which was first aimed at the endpoint. GTI is not alone: The endpoint market is growing. By 2022, 25% of endpoint devices will execute AI algorithms (inference for neural network appli... » read more

The Next Phase Of Machine Learning


Machine learning is all about doing complex calculations on huge volumes of data with increasing efficiency, and with a growing stockpile of success stories it has rapidly evolved from a rather obscure computer science concept into the go-to method for everything from facial recognition technology to autonomous cars. [getkc id="305" kc_name="Machine learning"] can apply to every corporate fu... » read more