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 ...

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 ...

Suitable architectural pattern ensures well-maintainable systems; an unsuitable one leads directly to chaos. Clean ...

For the last few years, most of the progress in AI has been tied to size. Bigger models, bigger datasets, bigger everything.

MassRobotics survey offers a snapshot of current practices, challenges, and future expectations about sensor fusion, AI ...