AI for chemistry is rapidly improving at route planning and reaction prediction, but deeper chemical understanding still hinges on models that respect mechanisms, constraints, and real lab feasibility.
Chemistry-aware AI models for synthesis-aware molecular design Read Post »
NVIDIA’s open Agent Toolkit, JFrog’s trusted registries, ServiceNow’s control plane, and the Model Context Protocol are converging into a practical stack for governing enterprise AI agents. The approach ties skills to runtime policies, scanning, and audits to keep autonomous workflows secure and compliant.
NVIDIA-Verified Agent Skills Provide Capability Governance for AI Agents Read Post »
Claims that a Commonwealth Short Story Prize finalist used generative AI have pushed organizers, publishers, and editors to clarify rules without reliable detection tools. Here’s what policies are emerging and how to manage risk.
Static scores miss how agents behave in real workflows. Teams need trajectory telemetry, dual metrics, and CI/CD-integrated tests to ship reliable systems.
Mastering Agent Evaluation for Enterprise AI: Trajectories, Benchmarks, CI/CD Read Post »
NVIDIA and Google Cloud are growing a free developer community past 100,000 members and aligning full‑stack optimizations across GPUs, frameworks, and managed services to speed production AI on Google Cloud.
NVIDIA + Google Cloud: Developer Community Accelerating AI Builders Read Post »
Google’s I/O 2026 keynote framed an “agentic Gemini era,” introducing Gemini Omni, new Gemini 3.5 models, expanded AI in Search, and a two-track smart glasses push. Here’s what changed and why it matters for teams planning AI adoption.
Everything Announced at Google I/O 2026: Google I/O 2026 Gemini and Search updates Read Post »
