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

After recently writing about Singularity in this column, I felt it was time to address the elephant in the room – the difference between Artificial Intelligence and Human Consciousness in the Age of ...

For direct API integration and via third-party provider OpenRouter, MiniMax M2.7 maintains a cost-leading price point of 0.30 dollars per 1 million input tokens and 1.20 dollars per 1 million output ...

For leaders, the challenge is not simply adopting AI but designing organizations and workflows that allow it to thrive alongside human talent.

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 ...

IDCA’s Mehdi Paryavi argues that the greatest threat of the A.I. agent boom is what happens when businesses deploy it without ...

The success of agentic AI in manufacturing relies on a Human-in-the-Loop model to build trust and leverage worker expertise, forging a vital partnership between machine proactivity and human judgment ...

More teams now include AI, but few people know how to work with it. Here’s how human–AI teams can stay coordinated when ...

OpenAI's GPT-5.4 mini and nano launch - with near flagship performance at much lower cost ...

In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...

The gap between what companies report and what investors need to know is widening.

As large language models (LLMs) gain momentum worldwide, there’s a growing need for reliable ways to measure their performance. Benchmarks that evaluate LLM outputs allow developers to track ...