AI models are transforming catalyst discovery by combining databases with machine learning and language models, enabling ...

Data strategy competitive advantage depends on a proprietary knowledge base of internal and external data powering predictive models.

A new study published in the journal Minerals sheds light on this sweeping shift. Titled Big Data and AI in Geoscience: From ...

Ten AI concepts to know in 2026, including LLM tokens, context windows, agents, RAG, and MCP, for building reliable AI apps.

Clinical data management is entering a new phase as AI automates EDC build, shortens timelines, and enables data teams to ...

Databricks, Snowflake, Amazon Redshift, Google BigQuery, and Microsoft Fabric – to see how they address rapidly evolving ...

New protections inspect documents, metadata, prompts, and responses before AI models can be manipulated Indirect prompt ...

Data platforms have moved from static, disconnected systems to integrated environments where analytics and real-time data ...

University of Pittsburgh professors Lev Khazanovich and Julie Vandenbossche have secured a highly competitive $600,000, three-year grant from the National Academies' National Cooperative Highway ...

The framework provided by MCP allows agents to access and engage with databases, tools, apps and agents in real time in a united way.

AI protein function prediction uses machine learning models trained on sequence and structural data to infer protein roles at ...

According to BofA Global Research analyst Vivek Arya, chipmakers should see a boost to their revenue thanks to the increased ...