Edge Impulse has unveiled a new technology that provides visual anomaly detection on any edge device, from NVIDIA GPUs to Arm MCUs, using a new model architecture called FOMO-AD (Faster Objects, More ...
This article is part of our coverage of the latest in AI research. A new machine learning technique developed by researchers at Edge Impulse, a platform for creating ML models for the edge, makes it ...
LAGUNA HILLS, Calif.--(BUSINESS WIRE)--BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based neuromorphic AI ...
Silicon Labs and Edge Impulse, a development platform for machine learning on edge devices, are collaborating on the rapid development and deployment of machine learning (ML) on Silicon Labs EFR32 ...
The Katana Edge AI Evaluation Kit Simplifies Design of Low-Power IoT Applications The Katana Edge AI Evaluation Kit (EVK) allows rapid implementation of AI applications. Now available in Edge ...
Detecting sub-5nm defects creates huge challenges for chipmakers, challenges that have a direct impact on yield, reliability, and profitability. In addition to being smaller and harder to detect, ...
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Cutting-edge imaging and faster algorithms for finding minuscule defects in semiconductor chips
A defect in a semiconductor chip may be smaller than a human hair but can create big problems in your everyday life, from crippling your car's steering to making your laptop more susceptible to ...
Developer Access for AKD1000-Powered Edge AI Box and Raspberry Pi Solutions Highlights Years of BrainChip and Edge Impulse Collaboration BrainChip and Edge Impulse Inc. have maintained a strategic ...
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