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

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 ...

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

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

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

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

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 ...

For AI agents, a knowledge base fuels fast and accurate responses and enables complex reasoning. We asked the experts how to build one.

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

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