Scientists published the Cascaded Variational Quantum Eigensolver (CVQE) algorithm in a recent article, expected to become a powerful tool to investigate the physical properties in electronic systems.

Moffitt Cancer Center researchers have developed ALFA-K, a new tool that they say can predict how cancer cells survive and compete. This new algorithm offers a potential roadmap for more effective, ...

Geisinger and IBM this week announced this week that they've co-created a new predictive model to help clinicians flag sepsis risk using data from the integrated health system's electronic health ...

As the most abundant organic substances in nature, carbohydrates are essential for life. Carbohydrates interact with diverse protein families to modulate various biological processes, including immune ...

Mayo Clinic is teaming up with Israeli company UltraSight, a medtech company using AI to improve point-of-care ultrasound for cardiac care, to develop algorithms for analyzing ultrasound images. The ...

Recently, a research team led by Prof. GAO Xiaoming from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, developed an intelligent neural network algorithm that effectively ...

Researchers at the Johns Hopkins Kimmel Cancer Center and the Department of Gynecology and Obstetrics at the Johns Hopkins University School of Medicine have developed an algorithm to identify ...

Artificial intelligence (AI) is transforming every aspect of our lives. Humans can now reduce complex and mundane tasks while focusing on core working requirements, significantly increasing workforce ...

U.S. Naval Research Laboratory (NRL) scientists have published the Cascaded Variational Quantum Eigensolver (CVQE) algorithm in a recent Physical Review Research article. The algorithm is expected to ...