ExecuTorch 1.0 allows developers to deploy PyTorch models directly to edge devices, including iOS and Android devices, PCs, and embedded systems, with CPU, GPU, and NPU hardware acceleration.

SLMs targeted at specific workloads could change the relationship between edge devices and the cloud, creating new ...

The shift toward on-device intelligence is being driven by latency, privacy, and cost concerns that companies are confronting ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. From IoT and robotics to industrial automation and smart devices, AI is fundamentally ...

Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation.

Edgeble AI enables industrial robots, cameras, and autonomous vehicles to detect accuracy drift and retrain AI models ...

SAN JOSE, Calif.--(BUSINESS WIRE)--Edge Impulse, the leading platform for building, deploying, and scaling edge machine learning models, today announces Microchip Technology’s SAMA7G54 microprocessor ...

Researchers from The University of Osaka's Institute of Scientific and Industrial Research (SANKEN) have successfully ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. The AI landscape is taking a dramatic turn, as small language and multimodal models are ...

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As you prepare for an evening of relaxation at home, you might ask your smartphone to play your favorite song or tell your home assistant to dim the lights. These tasks feel simple because they’re ...