Abstract: In this paper, an iterative learning model predictive control algorithm based on state -space model is studied for multiple input multiple output systems with pure delay, and the effect of ...

How did AI accelerate the build of Claude Cowork? Traditionally, launching a robust application requires extensive cycles of design, prototyping, programming, and rigorous testing. In the case of ...

Top-level actions include giving agents the right amount of freedom and rethinking traditional ROI. Industry leaders share their own experiences.

Brookhaven researchers combine AI and physics to improve 3D X-ray tomography for nanoscale imaging. Read more.

This repository contains spectral neighbor analysis potential (SNAP) models for various elements, including the force field models, the corresponding parameters and ...

OpenJDK project teams will focus work on features such as value types, code reflection, AOT compilation, and structured ...

Siemens PAVE360 Automotive, a cloud-based digital twin platform, offers automakers a jump-start in adopting software-defined ...

That's apparently the case with Bob. IBM's documentation, the PromptArmor Threat Intelligence Team explained in a writeup provided to The Register, includes a warning that setting high-risk commands ...

B, an open-source AI coding model trained in four days on Nvidia B200 GPUs, publishing its full reinforcement-learning stack as Claude Code hype underscores the accelerating race to automate software ...

Amanda Brock, CEO of OpenUK, reflects on the major open source developments in the first six months of 2025 – with more to ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...