PHIL AI is pursuing an open ecosystem strategy by collaborating with infrastructure and application partners to support end-to-end AI workflows. Through integrations with decentralized compute ...

Smaller models, lightweight frameworks, specialized hardware, and other innovations are bringing AI out of the cloud and into ...

Those that lean into AI will need to balance small form factor, real-time responses and operation time, often tied to battery ...

As drones survey forests, robots navigate warehouses and sensors monitor city streets, more of the world's decision-making is ...

Overview: Edge AI devices prioritize local inference to ensure user data remains stored on the physical hardware instead of ...

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 ...

Broadcom’s BCM4918 shows how Wi-Fi 8 hardware is drifting toward edge computing without saying it outright ...

The security industry stands at a technological crossroads where the promise of edge computing is transforming how we process and analyze data from security devices. As organizations deploy more ...