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 ...

The rapid advancements in AI have brought powerful large language models (LLMs) to the forefront. However, most high-performing models are massive, compute-heavy, and require cloud-based inference, ...

A research team has developed a device principle that can utilize "spin loss," which was previously thought of as a simple loss, as a new power source for magnetic control. The work is published in ...

Scientists have discovered that electron spin loss, long considered waste, can instead drive magnetization switching in spintronic devices, boosting efficiency by up to three times. The scalable, ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Field services are undergoing a fundamental transformation, driven by agentic AI, edge ...

From smartwatches for health monitoring to hearing aids with AI-driven noise cancellation, these products are redefining how we live our lives. However, the growing complexity of these devices ...