AI Briefing#agentic-ai
The latest AI and developer news about #agentic-ai, with the original source and a short summary.
The latest AI and developer news about #agentic-ai, with the original source and a short summary.
Cisco attributes its record Q1 FY2027 performance to the early stages of a multi-year networking supercycle for agentic AI.
The November 2026 update introduces elastic gateway scaling, HTTP-based worker task pulling, and a shared Slime-based training pipeline for mathematical reasoning.
Cloud API costs were reduced by 15.8% through a policy that minimizes model switching.
The new certification uses a hybrid format combining a proctored multiple-choice exam with hands-on labs to validate skills in building secure, production-ready agents.
The system uses a Resource Core Model with 6B sparse parameters to predict marginal utility, directing compute to high-impact requests across a heterogeneous fleet.
The release includes Math, STEM, Code, Instruction Following, and Agentic models trained with GRPO on verifiable rewards.
The open-source model achieves SOTA tool-use performance for its size, scoring 45.0 on average compared to 38.8 for Qwen3.5-2B-Think.
The system achieves 84.33% accuracy on FactKG using 108x fewer tokens than full-context inference while outperforming baselines on five of eight benchmarks.
if(kakao)26 highlighted the direction of transitioning from conversational AI to execution- and trust-centric agentic AI.
The 2.8T parameter Mixture-of-Experts model features a 1M token context window and achieves 65.7 on Terminal-Bench 4.0.
An autonomous agentic loop discovers lossless system optimizations that nearly double the speedup of parallel drafters over autoregressive decoding.
Shared computing infrastructure allows municipalities to deploy vision agents and digital twins, with ITMAX targeting 17,000+ cameras by 2027 and Linker Vision cutting design iteration time from two weeks to under an hour.
The system achieved the first real-time AI detection of a pulsar in the Crab Nebula, compressing weeks of human analysis into hours.
GitHub Enterprise customers can now access all Copilot features without a separate subscription, while Copilot Fusion achieves high performance at 40% less time per task.
Legora, a Stockholm-based legal-tech firm, uses OpenAI models to automate legal workflows, helping a Fortune 100 customer save over $20 million and reclaim 9.5 hours per lawyer per week.
The new benchmark features tasks 67% larger than previous versions and reveals that models struggle with unstated constraints and thoroughness, with the best model achieving a 45.5% score.
The framework integrates model serving, trajectory generation, and policy updates into a single reproducible pipeline supporting Qwen and GLM models.
The upgraded 560B-parameter model features a 1M-token context window and improved performance on reasoning and automation benchmarks.
Validated complex query processing and a 60% reduction in response time by integrating LangGraph supervisor structure with AgentCore tools.
The unified experience allows teams to start with quick questions and escalate to cloud-based agentic tasks on web, desktop, and mobile without switching tools.
Google CEO Sundar Pichai stated that the team focused on Flash models to rapidly iterate on agentic coding capabilities, leaving no time to apply those improvements to Pro before Argon pre-training concluded.
The new architecture internalizes memory via Gated DeltaNet-2 and Mixture-of-Storage, outperforming parametric baselines while preserving general capabilities.
The collaboration integrates Mistral Large 4 with NVIDIA accelerated computing to enable closed-loop simulation and design workflows across aerospace, automotive, and semiconductor industries.
Partners are deploying NVIDIA Vera Rubin infrastructure and the OpenShell Reference Architecture to secure agentic AI deployments across Europe, the Nordics, Africa, and Central Asia.