Abstract: This paper investigates fast first-order methods for nonconvex optimization, inspired by a second-order dynamical system with vanishing damping and strongly convex dry friction. By ...

Billionaire entrepreneur Mark Cuban cautioned that social media algorithms, rather than candidates' policies or personalities, could have the greatest influence on voter behavior in the upcoming 2026 ...

While the creation of this new entity marks a big step toward avoiding a U.S. ban, as well as easing trade and tech-related tensions between Washington and Beijing, there is still uncertainty ...

ABSTRACT: Artificial deep neural networks (ADNNs) have become a cornerstone of modern machine learning, but they are not immune to challenges. One of the most significant problems plaguing ADNNs is ...

A new bill would hold social media platforms responsible for foreseeable algorithmic harms. A new bill would hold social media platforms responsible for foreseeable algorithmic harms. is a senior ...

ABSTRACT: This article examines some of the properties of quasi-Fejer sequences when used in quasi-gradiental techniques as an alternative to stochastic search techniques for optimizing unconstrained ...

BRUSSELS, Nov 4 (Reuters) - Meta Platforms (META.O), opens new tab on Tuesday rejected a ruling by the French rights watchdog against its algorithm after allegations of discriminatory job ...

This project presents a comprehensive overview of building a simulation environment in Unity and applying the Proximal Policy Optimization (PPO) algorithm from Unity’s built-in ML-Agents toolkit. We ...

Reinforcement learning (RL) plays a crucial role in scaling language models, enabling them to solve complex tasks such as competition-level mathematics and programming through deeper reasoning.