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 ...
A mathematical problem that had remained unsolved for more than 10 years in the physics of complex systems has finally been ...
As a result, researchers are exploring ways to embed better logic into AI. The goal isn’t so much to make LLMs smarter; it’s ...
Three Duke Rugby players who are math majors tackled a challenge inspired by professional soccer Daniel Cheng, Malachy ...
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 ...
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