The hydrologic system is subjected unprecedented stresses and increasing demands driven by climate variabilities, landuse changes, groundwater ...

Open-source repair platform challenges the traditional service model.

Cardiovascular diseases remain a leading cause of mortality globally, driving the need for more precise diagnostic and predictive tools. Traditional ...

If human sensorimotor intelligence can be recovered as a learned model, systems can be trained that map perception into ...

Large language models (LLMs) are lowering the entry barriers to working with exciting data sources that used to require strong data science skills, such as handwritten ledgers, text, images, or sound ...

Modernizing data platforms is no longer just about moving to the cloud. Organizations are under pressure to build data environments that not only scale, but also support real-time analytics, governed ...

How the proteins in our bodies bind together to form protein complexes plays a critical role in numerous cell functions—staving off diseases, for instance, or transporting ions across cell membranes.

As AI continues to advance, infrastructure must evolve to enable access and delivery of real-time information at scale.

Cursor AI model training reaches a new milestone: a 1.5-trillion-parameter system pre-trained from scratch on xAI’s Colossus ...

Abstract: The intricate mixed-integer constraints in industrial load models not only pose challenges for their direct integration into economic dispatch or market clearing processes but also render ...

Abstract: In complex process industries, multivariate time sequences are omnipresent, whose nonlinearities and dynamics present two major challenges for soft sensing of important quality variables.

This repository is a collection of reference implementations for the Model Context Protocol (MCP), as well as references to community-built servers and additional resources. Important If you are ...