AI models are starting to crack high-level math problems

“I was curious to establish a baseline for when LLMs are effectively able to solve open math problems compared to where they ...

The Nuclear Industry’s Race Against the Clock: EPRI Experts on Fleet Optimization, SMRs, and What’s Next

The electricity sector faces a timing problem that’s becoming impossible to ignore. Data centers, artificial intelligence (AI ...

Why Sakana AI’s big win is a big deal for the future of enterprise agents

By leveraging inference-time scaling and a novel "reflection" mechanism, ALE-Agent solves the context-drift problems that ...
IEEE

Learning-Driven Algorithm With Dual Evolution Patterns for Solving Large-Scale Multiobjective Optimization Problems

Abstract: Recently, a series of evolutionary algorithms have been proposed to enhance the search efficiency when handling large-scale multiobjective optimization problems (LSMOPs). Among them, ...
How-To Geek on MSN

7 programming techniques that quietly make you elite

Writing smaller programs means that they’re easier to maintain, and they can help you accomplish a wider range of tasks. You ...

QBTS Stock Analysis: Is D-Wave Quantum Worth $10 Billion?

They are effectively wagering that addressing specific optimization challenges today holds more value than the promise of ...
IEEE

Deep Reinforcement Learning Based Jamming Strategy Optimization Method Under the INUSRJ Scheme

Abstract: Interrupted non-uniform sampling repeater jamming (INUSRJ) overcomes the inherent periodicity limitations of traditional interrupted sampling repeater jamming (ISRJ). However, optimizing the ...
Morning Overview on MSN

Quantum walks explained, and why they could change everything

Quantum walks sound abstract, but they sit at the center of a very concrete race: who will harness quantum mechanics to solve ...