The generative AI models used in classified environments can answer questions but don't currently learn from the data they ...

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

Using data analytics to understand precious metals markets has become a key advantage for investors seeking more accurate forecasts. This article explores how d ...

This illustrates a widespread problem affecting large language models (LLMs): even when an English-language version passes a safety test, it can still hallucinate dangerous misinformation in other ...

Microscopic images of human tissue are a cornerstone of biomedical research and clinical diagnostics. Yet despite their importance, these images often remain difficult to analyze systematically and to ...

Have you ever stopped to wonder how forecasters can predict the weather days in advance, or how scientists figure out how the ...

Google-Tesla MagNet Challenge is an annual competition. It’s designed to accelerate innovation in magnetic modeling using ...

New benchmark study results show leading AI models, including ChatGPT, Claude, and Gemini, still lag humans in visual math reasoning.

Defence AI teams are turning to synthetic data because real operational data can be scarce, sensitive, or hard to move. But synthetic data only helps if you can show it represents the real conditions ...

Choosing an AI model is no longer about “best model wins.” Instead, the right choice is the one that meets accuracy targets, fits latency and cost budgets, respects compliance boundaries and ...

We've moved past the era of "ChatGPT wrappers" (thank God), but the industry still treats autonomous agents like they're just chatbots with API access. They're not. When you give an AI system the ...