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

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 ...

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 -- ...

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; ...

A web-based platform integrating generalized global neural network potentials and diffusion generative models was developed ...

Cloud-based virtualization, real-time data synchronization, and scalable AI/ML deployment can modernize the testing landscape ...

If you have ever left a Telegram signal group feeling burned — prices already moved by the time the alert hit your phone, the ...

NVIDIA introduces the Vera Rubin system, touts agentic AI-powered workflows, promotes its tech for different verticals..