A common misconception in automated software testing is that the document object model (DOM) is still the best way to ...

The recent emergence of DeepSeek’s remarkably cost-efficient large language models has sent shockwaves through the AI industry, not just for what it achieved, but for how efficiently it achieved it.

Abstract: This article investigates the distributed control problem for nonlinear multiagent systems (MASs) with unknown system models. A novel distributed model-free adaptive learning algorithm is ...

Multimodal training frameworks treat a heterogeneous model as a monolith, leading to severe compute imbalance across vision, text, and interaction submodules. Static partitioning and placement ignore ...

(venv) root@7dc30e9f3e4f:/workspace# pip3 install torch --index-url https://download.pytorch.org/whl/cu126 Looking in indexes: https://download.pytorch.org/whl/cu126 ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A team of AI researchers known as Nous Research is currently doing ...

Describes an approach to build commercial high-performance distributed object systems over system area networks (SANs) with user-level networking. The specific platforms we use in this study are the ...

Abstract: The paper presents a time-triggered distributed object computing environment for embedded control systems such as automotive control systems. The time-triggered architecture is suitable for ...