Latest 6G and AI news, analysis, and industry updates.
PrismML’s Bonsai 27B makes 27B-parameter inference practical on smartphones, shifting the AI architecture toward local-first, cloud-assisted processing and forcing telecom and device makers to rethink where compute, traffic, and value reside.
Google's release of Gemma 4 under Apache 2.0, with four model sizes and image/video/audio support, gives commercial builders an open, competitive foundation for on-device and agentic AI.
Distributed edge inference balances cloud, edge, and on-device execution for 6G services, trading latency, bandwidth, and privacy against model size and accuracy.
On-device AI inference is exploding, powered by Apple's Neural Engine, Qualcomm's AI Engine, and specialized NPUs. From smartphones to industrial sensors, edge AI is enabling real-time intelligence without cloud dependency, transforming privacy, latency, and cost economics.