Six states stretching from the Sierra Nevada to the Southeast are preparing for measurable snowfall this week, even as daytime temperatures in parts of the Midwest push into the 50s and low 60s. The ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty. Researchers have developed a lightweight machine learning framework that ...

Real-world optimization problems often require an external “modeling engine” that computes fitnesses or data that are then input to an objective function. These programs often have much longer ...

AI transformation cannot be "AI for everything." Successful enterprises focus on a limited set of high-impact use cases with measurable outcomes.

AI agents are powerful, but without a strong control plane and hard guardrails, they’re just one bad decision away from chaos.

Michelle Lee, PhD, unpacks how physical AI that integrate scientific reasoning with the wet lab will accelerate biological discovery.

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

Anthropic, a Generative AI company, introduced a new solution that is free. This noteworthy solution would seem to put many enterprise software vendors at risk.

AI is reshaping how we think about network operations, but it can’t replace strong data foundations or proven automation practices. In network automation, AI works best when paired with deterministic, ...

Recently, the UK’s tax and accounting professional bodies published updated guidance on the ethical use of AI in tax work, aligned to the Professional ...

Explore how quantum sensors are revolutionizing scientific measurement. Learn about superposition, entanglement, and high-precision data acquisition.

Abstract: Delay tolerant networks (DTN/s) represent an evolution of traditional ad hoc networks, specifically designed for extreme environments characterized by intermittent connectivity, ...