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

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

Industrial AI deployment traditionally requires onsite ML specialists and custom models per location. Five strategies ...

Machine learning didn’t disappear — it embedded itself. These seven competencies define what marketers must architect, govern and measure for 2026.

Some kids plan to kill. Can we discover who they are before they do? A program that combines neural and clinical data via ...

ARTIFICIAL intelligence is no longer just a peripheral tool in research. The rapid accumulation, availability and ...

SportsLine's model revealed its top NFL Divisional Round anytime touchdown scorer picks, including Christian McCaffrey ...

These are not just musings but critical paths of inquiry reinforcing the need for AI education in schools. By introducing AI, ...

Industry 5.0 marks a shift from purely automation driven manufacturing toward human-centric, resilient, and intelligent production systems. In this ...

This study presents a transfer learning–based method for predicting train-induced environmental vibration. The method applies data fusion to combine physics-based numerical simulations and limited ...

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

In just three months, Phlow and Enveda generated and analyzed nearly 20,000 unique reactions, creating one of the largest high-quality datasets of its kind. The resulting uniform dataset is ...