Abstract: Integrated Energy Systems (IESs) integrate electricity, heating, cooling, and gas through coupled infrastructures, posing forecasting challenges due to heterogeneous temporal patterns and ...

VANCOUVER, BC / ACCESS Newswire / November 25, 2025 / Variational AI, a leading innovator in generative artificial intelligence for drug discovery, is making headlines in biotech with a bold mission: ...

Revised: This Reviewed Preprint has been revised by the authors in response to the previous round of peer review; the eLife assessment and the public reviews have been updated where necessary by the ...

VANCOUVER, British Columbia--(BUSINESS WIRE)--Variational AI, the company behind Enki™, an advanced foundation model for small molecule drug discovery, today ...

We study the variational optimization of entangled probe states for quantum sensing tasks involving the estimation of a structured linear function of local phase parameters. Specifically, we consider ...

ABSTRACT: The rapid growth of unlabeled time-series data in domains such as wireless communications, radar, biomedical engineering, and the Internet of Things (IoT) has driven advancements in ...

ABSTRACT: Current high-dimensional feature screening methods still face significant challenges in handling mixed linear and nonlinear relationships, controlling redundant information, and improving ...

Objective: Develop a quantum machine learning model utilizing a Variational Quantum Classifier to predict potential interactions between drug pairs, aiming to enhance drug safety and efficacy.

In a paper published in the journal Intelligent Computing, researchers demonstrated methods for efficiently encoding image data into quantum states using variational, genetic, and matrix product state ...

The field of quantum machine learning, which aims to leverage quantum computing to improve upon classical machine learning, has made notable progress recently. A study published in Intelligent ...