EurekAlert!

AI-optimized decision-making in energy systems: a new approach to integrating machine learning and mathematical programming

Discover how a new AI system is revolutionizing energy management by merging machine learning and mathematical programming. This innovative approach not only boosts prediction accuracy but also ...
Devdiscourse

Artificial superintelligence may be economically useless: Here's why

In a paper titled Artificial Superintelligence May Be Useless: Equilibria in the Economy of Multiple AI Agents, a team of researchers state that equilibrium outcomes in multi-agent economies may ...

Seeing global trade through the lens of physics

New research from the Complexity Science Hub (CSH) shows why widely used algorithms for measuring economic complexity produce trustworthy results and how these tools may benefit diverse areas such as ...
The Manila Times

Higher Performance, Less Energy: Q.ANT Deploys Second-Generation Photonic Processors at Supercomputing Center LRZ

Deployment in one of Europe’s leading HPC facilities moves photonic co-processing into rigorous production evaluation to address AI’s energy problems ...
Mirage News

Global Trade Analyzed Through Physics Lens

New research from the Complexity Science Hub (CSH) shows why widely used algorithms for measuring economic complexity produce trustworthy results ...
IEEE

A Robust Direct-Discretized RNN for Time-Dependent Optimization Constrained by Nonlinear Equalities and Its Applications

Abstract: In recent years, numerous recurrent neural network (RNN) models have been reported for solving time-dependent nonlinear optimization problems. However, few existing RNN models simultaneously ...

D-Wave to Present Scientific Advancements in Annealing and Gate-Model Quantum Computing at APS Global Physics Summit

Wave Quantum Inc. (NYSE: QBTS) ("D-Wave" or the "Company"), the only dual-platform quantum computing company, providing both annealing and gate-model systems, software, and services, today announced ...
Visual Studio Magazine

Quadratic Regression with SGD Training Using JavaScript

Quadratic regression is a classical machine learning technique to predict a single numeric value. Quadratic regression is an extension of basic linear regression. Quadratic regression can deal with ...
The Malaysian Reserve

MicroCloud Hologram Inc. Achieves Breakthrough in Practically Deployable Quantum Recurrent Neural Network (QRNN) Technology Oriented Toward Sequential Learning

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, released a core quantum machine learning technology oriented toward sequential learning tasks—the ...
IEEE

From Optimization to Learning: Dual-Approach Resource Allocation for Over-the-Air Edge Computing Under Execution Uncertainty

Abstract: The exponential proliferation of mobile devices and data-intensive applications in future wireless networks imposes substantial computational burdens on resource-constrained devices, thereby ...

Kinaxis Inc. (KXS:CA) Q4 2025 Earnings Call Transcript

Kinaxis Inc. ( KXS:CA) Q4 2025 Earnings Call March 5, 2026 8:30 AM EST Good morning, and welcome to the Kinaxis Inc. Fiscal 2025 Fourth Quarter and Year-end Results Conference Call. [Operator ...