Print Join the Discussion View in the ACM Digital Library The mathematical reasoning performed by LLMs is fundamentally different from the rule-based symbolic methods in traditional formal reasoning.

As artificial intelligence becomes more advanced and common, it's hard to know what's real or not, complicating the search ...

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.

Virtual tools that can help manufacturers simulate processes on the shop floor are only a valuable if the information being ...

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

Vision language models can help robots create effective automation in chaotic environments, augmenting human capabilities.

The goal of the partnership is to develop synthetic datasets to train vision language action models on various experimental workflows ...

A new study reveals how advanced carbon based nanofluids could significantly improve heat transfer in technologies ranging from microelectronics to ...

Raja Shankar, VP of machine learning at IQVIA, discusses which AI capabilities sponsors are most likely to adopt first to ...

NTN announced that it has integrated machine learning technology into its automated calculation system used for designing 3rd‑generation hub bearings, marking the first use of this approach in the ...

Real-world data (RWD) is transforming clinical research, augmenting existing randomized controlled trial (RCT) data to de-risk studies and improve generalizability. With regulators setting clearer ...

Keysight SOS is a powerful data management platform that facilitates AI-powered chip design workflows and AI accelerator ...