The world's first arena for predictive intelligence, Forge is a live environment where machine learning models compete on real-world problems and improve together, built on the thesis that the future ...

Chinese AI models are rapidly closing the gap with U.S. frontier systems. This analysis examines what their growing ...

A new active-inference account reframes attachment styles as calibrated models of the world—with consequences for how we ...

Utilities and power generation companies are bolstering operational efficiency and plant reliability by implementing advanced ...

Coastal oceanography focuses on understanding the dynamic physical processes that occur where land meets sea—a region of intense energy exchange, ...

Cardiovascular diseases remain a leading cause of mortality globally, driving the need for more precise diagnostic and predictive tools. Traditional ...

TAR 2.0 is likely the most widely used analytic technology for reviewing large document collections for production (although ...

A forecasting framework that measures how voters evaluate candidates’ future leadership abilities and policy expertise accurately anticipated the closely contested outcome of the 2024 United States ...

Abstract: Classical source seeking algorithms aim to make the robot reach the source location eventually. This letter proposes a process-aware source seeking approach which finds an informative ...

Summary: A high-resolution neuro-imaging study demonstrated that the human brain and Large Language Models (LLMs) organize and predict language using deeply parallel information processing principles.

Quantum computers, systems that process information leveraging quantum mechanical effects, have the potential of outperforming classical computers on some tasks. Despite their potential, the use of ...

In today’s rapidly evolving digital economy, staying ahead isn’t just about possessing data – it’s about intelligently leveraging it. Companies at the forefront of analytics are not merely keeping ...