Physicists from the group of Jorik van de Groep at the UvA-Institute of Physics have devised a new method that can be used to ...

Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and ...

Researchers developed an Ag/Sb2O3/Au memristor array that mimics brain-like computing, performing on-device image feature extraction with low power consumption, promising smarter and faster electric ...

The potential of AI to transform businesses is undeniable. But modern companies now face a new challenge: how to take advantage of this complex concept. This is where the edge can be a catalyst for AI ...

Aethir, a decentralized graphics processing unit (GPU) infrastructure firm, announced the May 23 retail release of Aethir Edge, an edge computing device powered by Qualcomm. Aethir Edge is integrated ...

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 ...

Meta’s latest release of the Llama 3.2 model marks a significant advancement in AI, particularly in edge computing and on-device AI. Llama 3.2 brings powerful generative AI capabilities to mobile ...

The emergence of DeepSeek as a transformative force in edge AI development has supply chain operators anticipating a new wave of consumer upgrades across smart devices, from smartphones to AI PCs.

Edge computing involves processing and storing data close to the data sources and users. Unlike traditional centralized data centers, edge computing brings computational power to the network's edge, ...

Edge AI is a form of artificial intelligence that in part runs on local hardware rather than in a central data center or on cloud servers. It’s part of the broader paradigm of edge computing, in which ...