When an algorithm has the power to decide who deserves an interview or flags someone as a turnover risk without explanation, ...

A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...

Social media algorithms driven by AI shape far more than what appears on our screens, including how we think, feel, and ...

The final, formatted version of the article will be published soon. {The paper discusses computational and numerical challenges that are associated with the truncation of the information and which ...

WIRED analyzed more than 5,000 papers from NeurIPS using OpenAI’s Codex to understand the areas where the US and China ...

Elon Musk's social network X (formerly known as Twitter) last night released some of the code and architecture of its overhauled social recommendation algorithm under a permissive, enterprise-friendly ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

Abstract: The Travelling Salesman Problem (TSP) is a well known method for the optimisation problem that asks you to find the shortest route that visits each city in a set exactly once and then goes ...

Abstract: Driven by an unprecedented surge in freight transportation and city logistics, this paper tackles a practical variant of the famous Vehicle Routing Problem that jointly accounts for the ...

Irrational tendencies — including the hot hand, base-rate neglect and sunk cost fallacy — commonly show up in AI systems, calling into question how useful they actually are. When you purchase through ...