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

In a new paper from OpenAI, the company proposes a framework for analyzing AI systems' chain-of-thought reasoning to understand how, when, and why they misbehave.

Abstract: Deep learning-based methods require samples for training, while synthetic aperture radar (SAR) images are limited due to the imaging environment, which restricts the recognition performance ...

Researchers at The University of Texas at Austin recently received support from the National Science Foundation (NSF) to ...

Compare AutoCAD vs Revit vs BricsCAD for residential builders. Discover features, BIM capabilities, pricing insights, and ...

Discover how to build a homemade rubber band-powered paper airplane in this easy and engaging tutorial. We’ll guide you step-by-step as you craft the frame with skewers, add aerodynamic paper wings, ...

Activated sludge models are crucial for designing and optimizing wastewater treatment systems, which are the cornerstone of sustainable water resource management. However, their complexity creates a ...

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...

The hierarchical reasoning model (HRM) system is modeled on the way the human brain processes complex information, and it outperformed leading LLMs in a notoriously hard-to-beat benchmark. When you ...

Google has released Gemini 2.5 Deep Think, an advanced artificial intelligence model designed for complex reasoning tasks. The model uses extended processing time to analyze multiple approaches to ...

Gemini 2.5 Deep Think has scored well in math competitions, and a version of it is now available for those who fork over $250 a month. Jon covers artificial intelligence. He previously led CNET's home ...