Topic: artificial intelligence
Carnegie Mellon and Facebook researchers create AI program that wins at poker.
New Intel system runs 64 Loihi chips to simulate 8 million neurons
MLPerf sees “substantial progress” in second round of benchmarks
AI computing at the chip level is new and everybody wants in on the action, including Xilinx.
Startup NeuroBlade is offering a cheaper, smaller AI chip for new jobs.
Quantum computing, 5G and AI research need public dollars, the Semiconductor Industry Association says.
Technical training series and expansion boards support Xilinx-powered industrial-grade development.
A complete AI endpoint needs data analytics, model building, and hardware implementation.
Sensors bring information to data science across a growing variety of markets, including industrial, agriculture, medical, aerospace, military, and many others. Although the descending cost of ever-higher performance processors is key to the burgeoning Internet of Things (IoT), storing and sending enormous amounts of data to cloud servers can be costly, slow, and expand exposure to hackers. Locating computing power near sensors and other data-collection devices can boost the overall efficiency of data processing.
Ultimate engineering artificial intelligence (AI) assistant will revolutionize the productivity of engineers.