On February 8, 2022, the European Commission formally proposed what’s commonly referred to as the European Chips Act. The legislation plans to build on Europe’s strengths and address weaknesses to develop a thriving domestic semiconductor ecosystem and resilient supply chain, while setting measures to anticipate and respond to future supply chain disruptions. In the short term, the Act seeks to bolster EU capabilities to anticipate future chips crises, strengthen manufacturing activities in the EU, and support scale-up and innovation across the whole value chain. In the mid- to long-term, it seeks to reinforce Europe’s technological leadership while developing mechanisms to support transfer of knowledge from the lab to the fab and position Europe as a technology leader in innovative downstream markets.
MLCommons Adds Edge/Embedded AI Inference Benchmark
Alex Norton and Bob Sorensen
MLCommons, an international artificial intelligence (AI) standards body formed in 2018, launched MLPerf Tiny, their first benchmark targeted at the inference capabilities of edge and embedded devices, or what they call "intelligence in everyday devices". The new benchmark is now part of the overall MLPerf benchmark suite, which measures AI training and inference performance on a wide variety of workloads, including natural language processing and image recognition. The benchmark covers four machine learning (ML) tasks focused on camera and microphone sensors as inputs: keyword spotting, visual wake words, tiny image classification, and anomaly detection. Some important use cases include smart home security, virtual assistants, and predictive maintenance.
6 202021 | HYP_Link
AI-Centered Partnership Between OMRON and Kyoto University Targets Cardiovascular Diseases
Tom Sorensen, Alex Norton
At the recent CES 2022 tech event, Japanese corporation OMRON, the world’s leading manufacturer and distributor of personal heart health products and other medical devices, highlighted (and later announced on their website) the activities of their partnership with Kyoto University to develop an AIpowered platform that uses remotely gathered patient data to predict cardiovascular diseases at an earlier stage than current averages. Kyoto University is closely tied to the identity of Japan's government and considered Japan's leading research university. They operate a Top500 HPC system on-site in addition to conducting research on the cutting edge Fugaku supercomputer. This new program, part of an ongoing partnership between the two organizations, seeks to explore the use of AI to analyze blood pressure metrics for early detection of cardiovascular diseases faster and with greater accuracy allowing for treatment courses to be changed or taken more quickly.