While many Chinese companies have chased market share at home for consumer AI applications, UBS likes one in particular for ...

A closer look at the Lambda Cold Dark Matter model, its core components, supporting evidence, and why new observations are ...

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

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

When artificial intelligence advanced from merely analysing data to creating it, digital governance changed fundamentally. Previously, managing ...

Systems biology modeling is entering a new phase. For decades, computational models—ODE and PDE systems, stochastic simulations, constraint-based networks, ...

Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

Different AI models win at images, coding, and research. App integrations often add costly AI subscription layers. Obsessing over model version matters less than workflow. The pace of change in the ...

Abstract: Vector databases have emerged as the computation engine that enables us to successfully interact with vector embeddings in our applications as a result of the exponential rise of vector ...

Databricks claims AI agents have quietly taken over enterprise database creation, pushing its Lakebase product to the center of agentic application development.

Large-language models (LLMs) have taken the world by storm, but they’re only one type of underlying AI model. An under-the-radar company, Fundamental, is set to bring a new type of enterprise AI model ...

Nearly half of the databases that the Centers for Disease Control and Prevention used to update regularly — surveillance systems that tracked public health information like Covid vaccination rates and ...