These automated agents can process sensor data, make decisions, and execute actions without explicit commands from developers. Unlike apps that are trapped in phones, they can be embedded in homes and ...

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 ...

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

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

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

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 ...

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

Software-defined automation, together with artificial intelligence and robotics provide the foundation for the next ...