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 ...

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 ...

Third-years Arthur Costa, Shelley Fernando, Mason McCormack and Vincent Wang earn prestigious award for their research ...

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 ...

Genetic algorithms (GAs) mimic natural selection to solve complex optimization problems across engineering, AI, and science. By evolving a population of solutions through selection, crossover, and ...

A squad of new AI algorithms called GAME could help astrophysicists take a more accurate reading of the universe’s behavior, ...

Ligand-based drug design combines AI and QSAR modeling to prioritize drug candidates, minimizing preclinical failures and ...

EVOLVE, an agentic framework that autonomously optimizes AI training data, model architectures, and learning algorithms — ...

Researchers at the University of Oregon have developed an artificial intelligence tool that can read genetic code the way ...

Researchers at the University of Toronto's Institute of Biomedical Engineering have developed a new method to mature ...

This article was co-authored with Emma Myer, a student at Washington and Lee University who studies Cognitive/Behavioral Science and Strategic Communication. In today’s digital age, social media has ...