At GTC 2026, Jensen Huang, Aravind Srinivas, Harrison Chase, Mira Murati, and Michael Truell made a compelling case that the future of AI belongs to open agent systems, not just open models.

Large language models (LLMs) can generate credible but inaccurate responses, so researchers have developed uncertainty quantification methods to check the reliability of predictions. One popular ...

Ad fraud is no longer a fringe issue. It is a systemic threat to digital advertising, and its scale demands a technological ...

Google-Tesla MagNet Challenge is an annual competition. It’s designed to accelerate innovation in magnetic modeling using artificial intelligence (AI). This article reviews some of the highlights from ...

In the last few years, Chinese AI startup MiniMax has become one of the most exciting in the crowded global AI marketplace, ...

Many insurers remain reluctant to cover business mistakes made by 'agentic" AI programmes housed in data centres - Copyright ...

Soft Computing (SC) is an Artificial Intelligence (AI) approach that is more effective at solving real-life problems than traditional computing models. Soft Computing models are tolerant of partial ...

As Indian businesses expand into global markets, cross-border payments are becoming both a growth opportunity and a potential risk. Fraud, chargebacks ...

The Indian Institute of Science has announced an online course on machine learning for 6G wireless communication under its ...

Unsupervised Learning Market is projected to expand from USD 4.86 billion in 2025 to USD 49.80 billion by 2035, registering a CAGR of 26.20% ...

A new report says AI systems depend on Canadian journalism for knowledge but don't offer compensation or proper attribution in return.