Keeping models on the Assistant Axis improves AI safety Researchers from Anthropic and other orgs have observed situations in ...

Hospitals across the U.S. are adopting AI to predict patient needs and streamline care, but early use of the technology remains uneven, with adoption clustering in certain regions and lagging in ...

Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...

Abstract: Model-free predictive control has demonstrated robust performance while maintaining the benefits of predictive control, including precision and rapid transient response. This technique has ...

Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots ...

When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...

Hematoma expansion is a consistent predictor of poor neurological outcome and mortality after spontaneous intracerebral hemorrhage (ICH). An incomplete understanding of its biophysiology has limited ...

According to Sundar Pichai on X (formerly Twitter), McLaren F1’s 2025 Formula 1 championship victory with Lando Norris and Oscar Piastri highlights the transformative impact of AI-powered data ...

Chad Beam provides the ins and outs of the implementation of GIS, advanced communication systems and predictive modeling to ensure that staffing, to whatever extent, is utilized most effectively. A ...

Chances are, you’ve seen clicks to your website from organic search results decline since about May 2024—when AI Overviews launched. Large language model optimization (LLMO), a set of tactics for ...

Abstract: For cooperative control of multiple high-speed trains (MHSTs), a new model free adaptive predictive iterative learning cooperative control (MFAPILCC) method is proposed in this paper.