Beyond societal concerns relating to the environment, animal welfare and human health, several consumer surveys indicate that ...

Engineers at the University of California San Diego have developed a new way to train artificial intelligence systems to ...

The new AI-based graphics tool bridges the gap between perfect imaging of objects in lab environments and capturing messy ...

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

Emissions testing laws are a crucial component in the fight against air pollution and climate change, yet these regulations ...

U.S. and Canadian food labeling regulations require that protein digestibility be tested in rats to substantiate protein ...

Digital twins revolutionize drug discovery by integrating AI and biological data, enhancing prediction, trial design, and decision-making in precision medicine.

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.

A firm that wants to use a large language model (LLM) to summarize sales reports or triage customer inquiries can choose ...

HIGHLIGHTS Highly encouraging exploration results have been received from the Wyloo Project, confirming multiple high priority targets. A ...