From Cloud to Device, How ARM’s Edge AI Strategy Protects Data and Reduces Emissions

With ARM supporting on-device AI processing, energy use drops versus data centers, so you get faster responses and lower power bills.
Morning Overview on MSNOpinion

AI’s next wave: new designs, AGI bets, and less LLM hype

After a breakneck expansion of generative tools, the AI industry is entering a more sober phase that prizes new architectures ...
IEEE

High Altitude Edge Computing-Enabled Integrated Networks for 6G Communications

Abstract: The development of non-terrestrial networks (NTNs) and their integration with terrestrial networks is a potential research area in sixth-generation (6G) networks. NTNs are favored for their ...

Radio waves enable energy-efficient AI on edge devices without heavy hardware

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

MobiSplit: Mobility-Aware Inference Partitioning and Offloading for Efficient Edge Intelligence

Abstract: Edge intelligence enhances the computational capabilities of resource-limited devices by offloading inference tasks to edge servers. Traditional methods either execute the entire model on ...

Software-Defined Data Center Market Surges to $184.5 billion by 2029 | CAGR 19.4%

According to MarketsandMarkets™, the Software-Defined Data Center Market is expected to grow from USD 75.9 billion in 2024 to ...