Artificial intelligence is rapidly transforming weather prediction, enabling forecasts that once required hours of supercomputing time to run in just minutes. But as AI tools play an expanding role in ...

In 2026, we need to be doing much more to help communities prepare and to become a resilient before the next fire breaks out. That means investing in innovation, using better data, better technology ...

Whether you are looking for an LLM with more safety guardrails or one completely without them, someone has probably built it.

It’s a risk that they underserve less affluent consumers, and new entrants come in and steal that business,” he said. ‘WE’RE BUYING MORE LOADED VEHICLES’ Affordability has become a fixation for Trump ...

Comprehensive data protection for sensitive 3D data with intelligent security features in KISTERS 3DViewStation SAN ...

Palo Alto-based Rhoda AI, a developer of foundational artificial intelligence robotics models, said today it raid $450 million in Series A funding to train intelligent robots using publicly available ...

These new models are specially trained to recognize when an LLM is potentially going off the rails. If they don’t like how an interaction is going, they have the power to stop it. Of course, every ...

Age is more than just one number. While neuroscientists used to think of cognitive aging as a single trendline, they now ...

Threat actors are operationalizing AI to scale and sustain malicious activity, accelerating tradecraft and increasing risk for defenders, as illustrated by recent activity from North Korean groups ...

Abstract: In industrial soft-sensor modeling, the scarcity and imbalance of process data often lead to overfitting and poor generalization of predictive models. To address these challenges, this ...

Washington-based Starcloud launched a satellite with an Nvidia H100 graphics processing unit in early November, sending a chip into outer space that's 100 times more powerful than any GPU compute that ...

This study proposes an important new approach to analyzing cell-count data, which are often undersampled and cannot be accurately assessed using traditional statistical methods. The case studies ...