This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

Using multiparametric breast MRI data from three hospitals, the research team developed the MOME model to enable non-invasive malignancy classification, molecular subtyping, and neoadjuvant ...

The company didn’t reveal the source of the data it used to train the model, but some AI researchers speculate that at least a portion came from Google’s Gemini family of AI.

Cube Dev Inc., the creator of an open-source semantic layer that simplifies access to data from disparate systems, is launching an “agentic analytics” platform that uses artificial ...

Enterprises should experiment with MCP where it adds value, isolate dependencies and prepare for a multi-protocol future.

Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, adaptability and fairness.

Google doubles down on its ‘world-model’ vision, racing to build an AI operating layer to drive a universal personal assistant with Gemini. Even as Microsoft moves to capture the enterprise UI ...

Microsoft said on Monday it would offer new AI models made by Elon Musk's xAI, Meta Platforms and European startups Mistral and Black Forest Labs hosted in its own data centers, and unveiled a new ...

GitHub and Microsoft, GitHub's corporate parent, are joining the steering committee for MCP, Anthropic’s standard for connecting AI models to the systems where data resides.

The model can quickly search documents, whether they are text-based or include images, diagrams, graphs, tables, code, diagrams, or other components. Embedding models help transform complex data ...