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 ...
The Manila Times

Floating Fleet AI Expands Technical Leadership and Innovation with Optimization Veteran Norbert Lingaya

Floating Fleet AI, a leading provider of AI-driven solutions for private aviation, today announced the addition of Norbert ...
IEEE

Meta-Learning Inspired Single-Step Generative Model for Expensive Multitask Optimization Problems

Abstract: In expensive multitask optimization problems (ExMTOPs), multiple complex tasks must be optimized simultaneously under limited computational budgets. Existing approaches, often based on ...

QuoteIQ Launches Route Density to Help Field Service Businesses Cut Costs, Reduce Drive Time, and Increase Profits

QuoteIQ, a CRM platform built for mobile and field service businesses, has announced the launch of Route Density, a new ...
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 ...