MicroAlgo QAS, by optimizing quantum circuit architectures, can significantly enhance the robustness of VQA in various noisy environments. By automatically searching for suitable circuit designs, QAS ...
AI-driven optimization of a solar-hydrogen system offers hospitals a sustainable energy solution, enhancing reliability and ...
Third-years Arthur Costa, Shelley Fernando, Mason McCormack and Vincent Wang earn prestigious award for their research ...
Good afternoon, everyone, and welcome to IonQ's First Quarter 2026 Earnings Call. My name is Hanley Donofrio, and I am the Investor Relations Director here at IonQ. I'm pleased to be joined on today's ...
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Could all of math be reduced to a single operation? This theoretical physicist says yes, and he's found it
It’s not often a math paper goes viral, but a new preprint from a theoretical physicist at Poland’s Jagiellonian University has well and truly bucked the trend. Why? Because it seems to reduce all of ...
A squad of new AI algorithms called GAME could help astrophysicists take a more accurate reading of the universe’s behavior, ...
Speaking at WSJ Opinion Live in Washington, D.C., WSJ Editorial Page Editor Paul Gigot and SandboxAQ CEO Jack Hidary discuss Large Quantitative Models (LQMs) and their role in AI applications, the ...
EVOLVE, an agentic framework that autonomously optimizes AI training data, model architectures, and learning algorithms — boosting MMLU scores by 18 points over human baselines.
Researchers develop an interpretable hybrid feature selection model to overcome the "curse of dimensionality"in genomic ...
Ligand-based drug design combines AI and QSAR modeling to prioritize drug candidates, minimizing preclinical failures and ...
Researchers at the University of Toronto's Institute of Biomedical Engineering have developed a new method to mature ...
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