With its serverless infrastructure, Tensorlake makes it simpler to deploy and scale agentic workflows - SiliconANGLE ...

The Azure Kubernetes Service (AKS) team at Microsoft has shared guidance for running Anyscale's managed Ray service at scale. They focus on three key issues: GPU capacity limits, scattered ML storage, ...

An AI agent called Zephyrus converts plain-language questions into code to analyze real weather datasets and forecast models ...

Four-legged robots that scramble up stairs, stride over rubble, and stream inspection data — no preorder, no lab coat required.

Learn how to simulate proton motion in a constant magnetic field using Python! This tutorial walks you through the physics behind charged particle motion, step-by-step coding, and visualization ...

Computational Modeling of Failure at the Fabric Weave Level in Reentry Parachute Energy ModulatorsEnergy modulators (EM) are textile ...

OpenAI takes ChatGPT beyond static STEM explanations with dynamic visuals that let students explore formulas and concepts interactively for deeper understanding.

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Abstract: Accurate dynamic models of inverter-based resources (IBRs) are of critical importance for power system stability analysis. However, IBRs often behave as black boxes to system operators due ...

Abstract: Model Predictive Control (MPC) is widely used in autonomous driving for its robustness and control effectiveness. However, its reliance on explicit physical models can lead to mismatches in ...

Agent skills shift AI agents toward procedural tasks with skill.md steps; progressive disclosure reduces context window bloat in real use.