Environmental pollution is inherently interconnected across air, water, and soil systems. Contaminants migrate through ...

Abstract: In many signal processing and machine learning applications, datasets containing private information are held at different locations, requiring the development of distributed ...

Abstract: In this work, a gradient-based primal-dual method of multipliers is proposed for solving a class of linearly constrained non-convex problems. We show that with random initialization of the ...

Executives are making significant investment decisions based on AI outcomes they cannot independently verify. A machine ...

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

LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.

Recovering 'patent friction heat' as an energy source (excess heat) for open science... that is truly the ultimate perspective for reaching the 'free energy (perpetual motion machine)' of intellectual ...