Deep learning requires a complicated neural network composed of computers wired together into clusters at data centers, with cross-chip communication using a lot of energy and slowing down the process. Cerebras has a different approach. Instead of making chips by printing dozens of them onto a large silicon wafer and then cutting them out and wiring them to each other, it is making the largest computer chip in the world, the size of a dinner plate. Texas Instruments tried this approach in the 1960s but ran into problems. Continue reading Cerebras Chip Tech to Advance Neural Networks, AI Models

MLPerf, a consortium of 40 technology companies including Google and Facebook, just released benchmarks for evaluating artificial intelligence-enabled tools, including image recognition, object detection and voice translation. MLPerf general chair Peter Mattson, a Google engineer, reported, “for CIOs, metrics make for better products and services they can then incorporate into their organization.” Thus far, organizations have been slow to adopt AI technologies, in part due to the plethora of tools and services available. Continue reading Consortium Releases New Measurement Benchmarks for AI