A new study enhances hydrogen molecule predictions, achieving unprecedented precision in testing fundamental physics and ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. In October 2024, news broke that Facebook parent company Meta had cracked an "impossible" problem ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Research shows a connection between depression and memory loss. However, with depression treatment, memory loss can improve. Depression, formally known as major depressive disorder (MDD), is a mental ...

The numerical integration of stiff equations is a challenging problem that needs to be approached by specialized numerical methods. Exponential integrators form a popular class of such methods since ...

There are no established treatment options for patients with meningioma recurring after surgery and radiotherapy.

Erectile dysfunction (ED) is the inability to get or keep an erection firm enough to have sexual intercourse. It’s sometimes referred to as “impotence,” but this term is now used less often. ED can ...

Discover essential strategies to pass the Series 63 exam and launch your securities career. Learn about core topics, time management tips, and common pitfalls to avoid.

Insights from data and ML algorithms can be invaluable, but be warned — mistakes can be irreversible. These recent high-profile AI blunders illustrate the damage done when things don’t go according to ...

Abstract: This paper addresses the distributed nonconvex optimization problem, where both the global cost function and local inequality constraint function are nonconvex. To tackle this issue, the ...