Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

The next step in the evolution of generative AI technology will rely on ‘world models’ to improve physical outcomes in the real world.

Artificial Intelligence (AI) has achieved remarkable successes in recent years. It can defeat human champions in games like Go, predict protein structures with high accuracy, and perform complex tasks ...

That’s an impressive accomplishment for the narrow slice of the gaming world that enjoys flight simulation software titles.

OpenAI has said that some attack methods against AI browsers like ChatGPT Atlas are likely here to stay, raising questions ...

So, in a nutshell, there’s a lot to take into account when picking a winner in each of the Australian Camera Magazine Imaging ...

A set of mysterious grooves on a cave floor in France has turned out to be far more than abstract art. Archaeologists now ...

Video language models are the next AI frontier, blending vision and language to power smarter robots and real world ...

AI hallucination is often misread as creativity. This explains why it’s a symptom of optimization fatigue, and what that ...

Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...