Earth observation data underpin climate science, disaster response, and environmental policy, yet inconsistent grid definitions often limit their accuracy and reuse. Researchers now present a unified, ...

Enterprises have moved quickly to adopt RAG to ground LLMs in proprietary data. In practice, however, many organizations are ...

New performance gains will not come from bigger models, but from better approaches. That shift should matter to every ...

Advanced ANT-based modeling indicates mineralization extending to approximately 900 metres depth and over 2 kilometres ...

Achieving high reliability in AI systems—such as autonomous vehicles that stay on course even in snowstorms or medical AI that can diagnose cancer from low-resolution images—depends heavily on model ...

Introduction Demographic change is resulting in a growing number of individuals requiring nursing care, while the ...

It took less than two minutes to send a question to the artificial intelligence (AI) model and receive an answer from the space data center.” Wang Yaobo, vice president of ADA Space, who presented at ...

India’s Economic Survey 2025–26 signals a quiet but significant shift in how AI data may be governed. Here’s what’s changing.

Artificial intelligence is moving quickly into mainstream medical devices, and the industry has become fluent in a familiar set of concerns: bias, transparency, and cybersecurity. These topics matter, ...

Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...

As massive capital flows into the life science sector, two distinct, and potentially opposing, strategic directions have emerged. While NVIDIA (NASDAQ:NVDA) is expanding its healthcare presence ...