Researchers show AI can learn a rare programming language by correcting its own errors, improving its coding success from 39% to 96%.

Explore how vision-language-action models like Helix, GR00T N1, and RT-1 are enabling robots to understand instructions and act autonomously.

Panelists repeatedly highlighted that AI compute scaling is dramatically outpacing traditional Moore’s Law transistor efficiency improvements. As compute density increases, energy consumed in data ...

Moreover, we discuss strategies for metadata selection and human evaluation to ensure the quality and effectiveness of ITDs. By integrating these elements, this tutorial provides a structured ...

Digital engineering and modeling and simulation (M&S) are transformative approaches that enable precision, efficiency and innovation in munitions production and warfighter capabilities. By integrating ...

Abstract: The SGAM Toolbox has established itself as a valuable modeling tool in the energy sector, particularly for interdisciplinary system-of-systems use cases. Built on a domain-specific modeling ...

High-impact biological discoveries often hinge on access to the right antibodies at the right time. However, commercially available antibodies are not always available or well-suited for translational ...

U.S. government agencies on Monday were approved to implement Meta’s AI system Llama, a language model capable of processing and converting data including multimedia like video, photo, text and audio, ...

Predicting performance for large-scale industrial systems—like Google’s Borg compute clusters—has traditionally required extensive domain-specific feature engineering and tabular data representations, ...