The database of 200 million protein-structure predictions now includes homodimers, adding new biological relevance.

Microsoft used Nvidia's GTC conference this week to roll out a series of enterprise AI announcements spanning agent infrastructure, real-time voice interactions and next-generation GPU deployments.

Nvidia used GTC 2026 to unveil new physical AI models, simulation tools, and robotics partnerships aimed at factories, healthcare, and logistics.

Document database pipelines may be being affected by schema drift: a guide for developers and DBAs from 3T Software Labs' ...

Apple researchers have created an AI model that reconstructs a 3D object from a single image, while keeping light effects consistent across viewing angles.

Reliable and scalable water level prediction is crucial in hydrology for effective water resources management, especially ...

Microsoft combines accelerated computing with cloud scale engineering to bring advanced AI capabilities to our customers. For years, we’ve worked with NVIDIA to integrate hardware, software and ...

Physical AI demands real-world orientation: agents need spatial grounding, sensors, and context beyond language.

Abstract: High-precision lateral dynamics models are crucial for vehicle lateral state estimation and lateral stability control. However, traditional physics-based lateral dynamics models ignore ...

Abstract: Early availability of estimated values of critical Power-Performance-Area [PPA] parameters which are known only after end of EDA tool run, can be of immense value in accelerating design ...

Tight oil reservoirs, such as the Chang 8 formation in the Dadonggou area of the Ordos Basin, commonly encounter severe challenges including strong heterogeneity, and low recovery factors under ...