A new study combines Large Language Models and behavioral mathematics to analyze human decision-making text data at scale.

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...

For years, physicists were stuck in trying to explain an important mathematical problem in physics. The right approach ended ...

In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...

A mathematical problem that had remained unsolved for more than 10 years in the physics of complex systems has finally been ...

How Emmy Noether's theorem uses the Lagrangian to provide a formula for calculating the quantity of symmetries in a ...

As artificial intelligence increasingly automates basic programming, India's tech sector faces a critical talent transformation, shifting recruitment priorities away from pure coding toward core ...

In 2022, global production of construction materials accounted for more than 7% of total carbon emissions. But how many of ...

Last week, OpenAI shocked the mathematical community by revealing that one of its internal artificial intelligence (AI) models had found a counterexample to a famous conjecture made by legendary ...

As the saying goes, one man’s trash is another man’s treasure. Or as Verge Labs might put it, one company’s failed clinical trial … is that same company’s new AI benchmarking dataset. Over a decade ...

Abstract: This article presents an inverse optimal control (IOC) approach for nonlinear polynomial systems based on adaptive dynamic programming (ADP). First, a novel model-based algorithm is ...

Abstract: This paper presents a nonlinear model predictive control (NMPC) scheme based on sequential convex programming (SCP). We propose a modified SCP algorithm for nonlinear MPC that adaptively ...