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 ...

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.

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

Instead of creating new data silos, Hammerspace virtualizes existing storage across sites and clouds into a single global ...

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

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 ...

A multidisciplinary team develops a method based on Artificial Intelligence that determines with great precision the provenance of prehistoric archaeological materials ...

A multidisciplinary team of Spanish and Portuguese archaeologists and artificial intelligence experts has combined ...