In cars, as with other everyday objects, there are very useful functions that keep them functional. This is the case with the ...

A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN ...

Open source RDMS popularity offers devs 'something other than Oracle' as database standard, analyst says Microsoft has ...

This guide breaks down the agent-to-agent protocol, task objects, and agent Cards, which enable scalable, secure ...

AI inference is rapidly evolving to meet enterprise needs – becoming tiered, distributed and optimized for RAG, agentic, and ...

Microsoft’s second Fairwater campus in Atlanta showcases a new model for AI infrastructure, linking mega-sites into a unified ...

The platform’s open approach is designed around efficiency, security and accessibility—and to catalyze AI's development.

Cities are expanding digital twins beyond buildings by using synthetic data to model real human behavior while protecting ...

The performance of skilled behaviors requires a balance between consistency and adaptability. Although the neural mechanisms that regulate this balance have been extensively studied at systems and ...

Split your metadata from your files, and suddenly your sluggish document system becomes fast, scalable and surprisingly cheap to run.

Shift verification effort from a single, time-consuming flat run to a more efficient, distributed, and scalable process.