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ASENSEI Joins Forces with SoundHound AI to Deliver ASENSEI Voice For Health and Fitness Coaching

Can You Change the Wake Word on a Google Home? Nope!

Saying: “Hey Google” and “OK Google” is extremely easy to remember, but it might get a little boring after a while. Now you’d like to try out some new wake words, as the current ones are getting a bit

Importance of gunshot detection in security systems

Sadly, active shooter incidents have become so common that they no longer grab big headlines or dominate the news cycle. A near-constant cascade of active shooter events persists in the background of.

MLCommons Releases MLPerf Tiny Inference Benchmark

MLCommons Releases MLPerf Tiny Inference Benchmark June 16, 2021 SAN FRANCISCO, June 16, 2021 Today, MLCommons, an open engineering consortium, launched a new benchmark, MLPerf Tiny Inference, to measure how quickly a trained neural network can process new data for extremely low-power devices in the smallest form factors and included an optional power measurement. MLPerf Tiny v0.5 is the organization’s first inference benchmark suite that targets machine learning use cases on embedded devices. Embedded machine learning is a burgeoning field where AI-driven sensor data analytics is performed in real-time, close to where the data resides. The new MLPerf Tiny Inference benchmark suite captures a variety of use cases that involve “tiny” neural networks, typically 100 kB and below, that process sensor data such as audio and vision to provide endpoint intelligence.

MLCommons™ Releases MLPerf™ Tiny Inference Benchmark – Consumer Electronics Net

MLCommons™ Releases MLPerf™ Tiny Inference Benchmark – Consumer Electronics Net
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