The Insurance Industry’s Retreat From AI Threatens to Slow Innovation and Adoption
CSIS researcher Gregory C. Allen argues that insurance has become the de facto regulator of AI deployment in the United…
CSIS researcher Gregory C. Allen argues that insurance has become the de facto regulator of AI deployment in the United…
The article identifies five influential AI leaders whose work signals coming disruptions in artificial intelligence development as of mid-September 2026,…
Bloomberg Opinion columnist Stephen Mihm explores whether artificial intelligence might help reduce America’s intense political polarization by presenting balanced information…
Researchers identify four unbounded memory peaks in standard MoE training pipelines — expert dispatch, vocabulary projection, gradient checkpointing, and optimizer…
The paper studies long-context extension of Gated DeltaNet, a linear-attention architecture, through the spectral properties of its state transition matrix…
VC-Attention is a training-free low-bit attention framework for video diffusion transformers that tackles both accuracy loss from value outliers and…
HypoEvolve is a multi-agent framework that uses a generational genetic algorithm to coordinate specialized LLM agents that propose, critique, and…
LimiX-2 introduces the Contextual Mechanism Networks (CMNs) paradigm, pretrained with Context-Conditional Masked Modeling, which shifts tabular in-context learning from predicting…
Fathom addresses the bottleneck of scanning offloaded KV caches during long agentic sessions by letting each query decide how many…
The paper proposes XConf, a confidence-estimation method that grounds an LLM’s calibrated confidence in a stored record of its own…
Edge0 is a streaming MoE inference engine that serves large mixture-of-experts models from SSD on consumer hardware by predicting each…
Agora is a shared-memory system for autonomous research agents that records every hypothesis, result, and verification as an immutable Git…