Abstract: Large-scale sparse multiobjective optimization problems (LSMOPs) are of great significance in the context of practical applications, such as critical node detection, feature selection, and ...

What if the next new mathematical discovery didn’t come from a human mind, but from an AI? Imagine a machine not just crunching numbers but proposing original solutions to problems that have baffled ...

The race to build artificial general intelligence is colliding with a harsh reality: Large language models might be maxed out. For years, the world's top AI tech talent has spent billions of dollars ...

Tech companies like Amazon are rumored to pose challenging math problems during interviews. A viral YouTube video explores a tricky math problem allegedly used in an Amazon interview. The problem ...

A few months before the 2025 International Mathematical Olympiad (IMO) in July, a three-person team at OpenAI made a long bet that they could use the competition’s brutally tough problems to train an ...

Researchers affiliated with UNIST have managed to prolong the lifespan of iron-chromium redox flow batteries (Fe-Cr RFBs), large-capacity and explosion-proof energy storage systems (ESS). This ...

The Racial Justice in Early Math project aims to educate teachers and provide resources to help educators combat racial bias in math instruction. Credit: Phillip Keith for The Hechinger Report The ...

Julian Edelman was on the field for Fox's pregame coverage of Sunday's preseason NFL clash between the Bills and Bears at Soldier Field, but he had a bit of an awkward moment alongside Curt Menefee.

Abstract: Traffic flow prediction (TFP) plays a crucial role in optimizing road resource allocation and alleviating traffic congestion. However, existing TFP methods have limitations in capturing the ...