Nvidia used GTC 2026 to unveil new physical AI models, simulation tools, and robotics partnerships aimed at factories, ...

First set out in a scientific paper last September, Pathway’s post-transformer architecture, BDH (Dragon hatchling), gives LLMs native reasoning powers with intrinsic memory mechanisms that support ...

Foundation has reportedly delivered two Phantom MK-1 humanoid robots to Ukraine for battlefield testing as robotic warfare ...

How LinkedIn replaced five feed retrieval systems with one LLM model — and what engineers building recommendation pipelines ...

Martial arts robots may play well on stage, but can they get work done? A look at what it takes to deliver the reliability ...

Explore common Python backtesting pain points, including data quality issues, execution assumptions, and evaluation ...

Self-related information automatically modulates early attentional selection into awareness through mechanisms distinct from physical salience, revealing an obligatory, individualized ...

This article introduces practical methods for evaluating AI agents operating in real-world environments. It explains how to ...

Ocean Network links idle GPUs with AI workloads through a decentralized compute market and editor-based orchestration tools.

New Opentrons AI capability lets scientists simulate and visually inspect automated laboratory experiments before robots ...

Overview: Automated Python EDA scripts generate visual reports and dataset summaries quicklyLibraries such as YData Profiling ...

Abstract: We explored the challenges practitioners face in software testing and proposed automated solutions to address these obstacles. We began with a survey of local software companies and 26 ...