AI is being rapidly adopted in edge computing. As a result, it is increasingly important to deploy machine learning models on Arm edge devices. Arm-based processors are common in embedded systems ...

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

Empowered by the Startup Terrace Kaohsiung AWS Joint Innovation Center (JIC), eNeural is redefining the landscape of edge AI ...

Model quantization bridges the gap between the computational limitations of edge devices and the demands for highly accurate models and real-time intelligent applications. The convergence of ...

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

Edge computing boosts speed, privacy, and scalability, making your home lab faster, smarter, and ready for the future.

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 ...

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 ...

Ask virtually anyone what's happening in the tech industry right now, and you'll hear the same answer: the AI is coming, the AI is coming. But ...

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 ...