Agentic AI systems have gone mainstream over the past year. They are now being used for several functions, including authenticating users, moving capital, triggering compliance workflows, and ...

Systems biology modeling is entering a new phase. For decades, computational models—ODE and PDE systems, stochastic simulations, constraint-based networks, ...

The integration of deep reinforcement learning with PD control in humanoid robots enhances gait stability and patient comfort during lower limb rehabilitation.

Microsoft has announced that the Microsoft Agent Framework has reached Release Candidate status for both .NET and Python. This milestone indicates that the API surface is stable and feature-complete ...

AI models are pushing against three frontiers at once: raw intelligence, response time, and a third quality you might call ...

New Relic is giving enterprises more observability tools, letting them create and manage AI agents, and better integrate OTel data streams.

Moltbook, a Reddit for AI agents, sparked viral chatter, lobster-based lore and deeper questions about agent interaction and human projections on AI.

Simulation-based learning approaches this challenge differently. Rather than optimizing for knowledge transfer, simulations ...