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, ...

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 ...

UMD ARLIS Researchers Awarded $34.8M Research Contract to Advance DARPA's Quantum Benchmarking Initiative

The Maryland Institute for Quantum Applications (MIQA) at the University of Maryland's Applied Research Laboratory for Intelligence and Security (ARLIS) received a new contract worth up to $34.8 ...