Researchers propose low-latency topologies and processing-in-network as memory and interconnect bottlenecks threaten inference economic viability ...

Through systematic experiments DeepSeek found the optimal balance between computation and memory with 75% of sparse model ...

The development underscores the start-up’s focus on maximising cost efficiency amid a deficit in computational power relative ...

As agentic AI moves from experiments to real production workloads, a quiet but serious infrastructure problem is coming into focus: memory. Not compute. Not models. Memory.

Millions of AI agents are entering production systems. Almost none can share operational experience. This is why that ...

The S14I starts at $1,676.00 at most retailers, featuring a lower-spec Intel Core Ultra 5 125U chip, 16GB of RAM, and a 256GB ...

Eight years after the first mobile NPUs, fragmented tooling and vendor lock-in raise a bigger question: are dedicated AI ...

Washington is betting on speedy innovation, while Beijing is relying on making a superior, state-led AI ecosystem ...

東京大学の松尾研究室から発足したAI開発企業のELYZAが日本語特化拡散言語モデル「ELYZA-LLM-Diffusion」を2026年1月16日に公開しました。既存の言語モデルで主流な自己回帰モデルではなく画像生成AIで発展した拡散モデルを採用して ...

Andrew Pollock wore four layers of clothing to a freezing protest outside the Broadview Immigration and Customs Enforcement ...

In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...

Andrew Pollock wore four layers of clothing to a freezing protest outside the Broadview Immigration and Customs Enforcement ...