User simulators serve two critical roles when integrated with interactive AI systems: they enable evaluation via repeatable, ...

Running a single physics simulation can take hours or days, depending on the complexity of the geometry and the equations ...

Analogue engineering still relies heavily on manual intervention, but that is changing with the growing use of AI/ML.

Drug resistance remains a central barrier to durable responses across cancer therapies, spanning targeted agents, cytotoxic chemotherapy, endocrine ...

As a drug moves through research and regulatory processes, any mistakes in the data will be compounded. Small gaps that a ...

Across the United States, universities and healthcare institutions are entering a new phase of transformation driven by ...

The UltiSim Data Fusion Plane solves this challenge by allowing mid-market organizations to connect, transform, and access disparate and siloed data across the enterprise for AI applications -- ...

Young, T. , Guymon, J. , Pankow, M. and Ngaile, G. (2026) A Material Removal Prediction Framework for Ball EEM Polishing in ...

The Impact of Artificial Intelligence on NFL Draft Strategies The NFL draft has always been a high‑stakes showcase of talent ...

In his keynote address, Prof. Sastry emphasized that AI is dramatically accelerating drug discovery timelines, reducing costs, and enabling precision-driven research outcomes.

Understanding how these new capabilities are emerging across nuclear can help leaders position themselves for the next phase ...

Toyota wheels out basketball bot; Arm scores AI server win with SK Telecom; India ponders payment pauses to foil fraudsters; ...