Los Alamos Reporter

LANL: Researchers Show Some Quantum Learning Models Are Classically Simulable

As proposed and demonstrated by the Los Alamos team, the architectures and techniques proposed to mitigate or altogether ...
EurekAlert!

Bridging machine learning and COSMO-SAC for accurate prediction of infinite dilute activity coefficients of binary mixtures

Infinite dilution activity coefficient is a key thermodynamic parameter in solvent design for chemical processes. Although ...
Forbes

Hybrid Quantum: Classical Architectures For Machine Learning

Integrating quantum computing into AI doesn’t require rebuilding neural networks from scratch. Instead, I’ve found the most effective approach is to introduce a small quantum block—essentially a ...
TMCnet

Machine Learning Advances in Predictive Cyber Threat Detection

Cyber threats are increasing in speed and complexity, driving the need for advanced detection techniques. Machine learning is ...
Devdiscourse

How AI and hybrid renewables can deliver near energy independence

Published in Eng, the study titled “Hybrid Smart Energy Community and Machine Learning Approaches for the AI Era in Energy Transition” introduces the Hybrid Smart Energy Community (HySEC) model, a ...
Business Wire

ORCA Computing Advances Hybrid Quantum–Classical Integration with NVIDIA NVQLink

LONDON & AUSTIN, Texas--(BUSINESS WIRE)--ORCA Computing, a leading quantum computing company, today announced its participation in the launch of NVIDIA NVQLink, a new open reference architecture that ...
Frontiers

Decision neuroscience in the age of AI: human-machine learning, agency, and adaptation

Decision neuroscience explores the neural underpinnings of how individuals and groups make choices, integrating perspectives from cognitive neuroscience, ...