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 ...

Chiral 2D metal halide perovskites (MHPs) are among the most promising materials for future technologies that exploit the ...

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

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

Tom Fenton explains how local AI fits into the broader private AI discussion for VMware environments, distinguishing enterprise-scale private AI deployments from smaller local AI setups running on ...

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 ...