Data is King for AI Sound Recognition
Robust, high-quality training data makes models more efficient — so efficient they can run on simple, low-power MCUs.
ISSCC: All Processing Leans Toward AI
From ISSCC: Google revealed an AI that excels at a key element of ASIC design. ISSCC plenary speakers describe how…
The ‘Uberisation’ of Dashcam Footage
A startup looks to monetise the footage captured by your dashboard camera.
Let’s Talk About Edge AI
What’s the difference between edge AI and endpoint AI, and how much 'smart' should you put into an edge AI…
Adapting the Microcontroller for AIoT
Will Arm continue to dominate going forward? Alternatives are springing up, and with the IoT set to expand, the market…
Arm Tackles TinyML With New Cores
The Cortex-M55 and Ethos-U55 accelerator are designed to work best together.
Sony’s New Unit Heats up AI Race
Sony's new unit will pursue advanced R&D in artificial intelligence. The consumer electronics giant is targeting a much bigger role…
Forming a Benchmark for ML at the Edge
EEMBC pins down variables to compare edge inference chips
Cameras to See Hidden Objects Around Corners
Algolux and university scientists develop non-line-of-sight (NLOS) technology to see hidden objects using conventional camera sensors.
Implementing Machine Learning in Ultra-Low Power Systems
TinyML group debates using microcontrollers and specialist devices for ultra-low power machine learning.