Quality improvement, clinical research, and patient care can be supported by medical predictive analytics. Predictive models can be improved by integrating more patient records from different ...

A roundtable discussion reveals how hybrid distributed models could provide a bridge from centralized cell-therapy ...

In the fast-changing digital era, the need for intelligent, scalable and robust infrastructure has never been so pronounced. Artificial intelligence is predicted as the harbinger of change, providing ...

Iri Trashanski, Chief Strategy Officer at Ceva, is shaping the future of the Smart Edge with extensive experience across tech sectors. AI inference is happening across a network of local ...

Google DeepMind unveiled a way to train advanced AI models across distributed data centers. Known as decoupled distributed low-communication (DiLoCo), the architecture isolates local disruptions such ...

How event-driven design can overcome the challenges of coordinating multiple AI agents to create scalable and efficient reasoning systems. While large language models are useful for chatbots, Q&A ...

The specification will support distributed workflows coordinated across various development and execution environments. These workflows may be carried out by physical devices, virtual devices or ...