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11 Ways To Reduce AI Energy Consumption


As the machine-learning industry evolves, the focus has expanded from merely solving the problem to solving the problem better. “Better” often has meant accuracy or speed, but as data-center energy budgets explode and machine learning moves to the edge, energy consumption has taken its place alongside accuracy and speed as a critical issue. There are a number of approaches to neural netw... » read more

Week In Review: Auto, Security, Pervasive Computing


An effort to fund U.S. science and technology initiatives with at least $100 billion is getting a thumbs up from the SIA (Semiconductor Industry Association). The Endless Frontier Act —  a bipartisan, bicameral bill introduced on Thursday in the U.S. House of Representatives — will invest money into semiconductor research and development and other related fields such as material science, q... » read more

Software In Inference Accelerators


Geoff Tate, CEO of Flex Logix, talks about the importance of hardware-software co-design for inference accelerators, how that affects performance and power, and what new approaches chipmakers are taking to bring AI chips to market. » read more

Inferencing At The Edge


Geoff Tate, CEO of Flex Logix, talks about the challenges of power and performance at the edge, why this market is so important from a business and technology standpoint, and what factors need to be balanced. » read more