Data Product Agent Mesh makes the promise of Data Mesh practical by solving its operational complexity through intelligent ...

A Global Grand Challenges case study reveals the potential of large language models (LLMs) to close health gaps in South Asia ...

Reliable and scalable water level prediction is crucial in hydrology for effective water resources management, especially ...

IMAGINiT’s hub-and-spoke platform was created to integrate disparate data to support AI in automation and predictive ...

The transformer-based model is being developed to help organizations—most notably in the finance industry—dig deeper into their data.

Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive storage to active, structured, and machine-readable systems. As training and ...

Shallem, Greg Ravikovich and Eitan Har-Shoshanim examine how AI addresses the challenge of data overload in solar PV.

Best AI tools for finance research and presentations, including Claude in Excel and Claude in PowerPoint, with accuracy ...

Everpure uses its first appearance since rebranding to target two problems its own customers and the diginomica network consistently flag as the real blockers to enterprise AI progress - data ...

New high-resolution radio observations from the Australia Telescope Compact Array have exposed fine-scale magnetic structure inside the Vela X pulsar wind nebula, revealing a prominent curved filament ...

Meta may cut up to 20% of its workforce as it ramps up AI infrastructure spending and restructures engineering teams.

If you played Pokémon Go, there's a chance you helped with the development of training robots and AI.