This valuable study provides a practical computational framework for inferring latent neural states directly from calcium fluorescence recordings, bypassing the traditional need for a separate spike ...

A study led by UC Riverside researchers offers a practical fix to one of artificial intelligence's toughest challenges by enabling AI systems to reason more like humans—without requiring new training ...

Discover the leading database management systems for enterprises in 2026. Explore key features, pricing, and implementation tips for selecting the best DBMS software to harness your data effectively.

Solidworks and Inventor receive a lot of attention, and so we tend to forget the surprising number of other MCAD programs ...

Amatrium begins 2026 with a GPT-5.1 upgrade and multi-agent intelligence, delivering faster, more reliable results ...

The project for which Hulsebos received the grant is called DataLibra, which runs from 2024 to 2029. Over those five years, ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

X released a new world model that it says is a solid step toward its robots being able to teach themselves new tasks.

Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

Learn how financial modeling projects future performance and supports strategic planning with essential components like ...

Have you ever spent hours wrestling with messy spreadsheets, only to end up questioning your sanity over rogue spaces or mismatched text entries? If so, you’re not alone. Data cleaning is one of the ...