Mudhra helps global enterprises assess quantum risk, modernize PKI, and build crypto-agile strategies for a secure ...

Researchers at the University of California, Santa Cruz have trained lab-grown brain organoids to solve a goal-directed task, ...

An international research team, with significant involvement from the Medical University of Vienna, has developed a new AI-based analysis method that can accurately classify brain tumors using genetic ...

With the introduction of adaptive deep brain stimulation (aDBS) for Parkinson's disease, new questions emerge regarding who, why, and how to treat. This paper outlines the pathophysiological rationale ...

Liquid biopsies, which test body fluids that contain cancerous material, including circulating tumor DNA (ctDNA), are a noninvasive way to learn about a cancer's biology. However, technological ...

Amazon's 2026 algorithm update prioritizes profitability signals, conversion quality, and AI-aligned content over traditional keyword stuffing. Agencies that ...

QuantalX combined transcranial magnetic stimulation and EEG technology in its first-of-its-kind brain network function ...

California Lutheran University political science professor Jose Marichal discussed his new book, “You Must Become an Algorithmic Problem,” Thursday, Feb. 12, in Ullman 101. The book, Marichal’s second ...

Individual sensor systems have limitations in the complex task of classifying shredded tobacco. This study aims to overcome these limitations by developing a novel evolutionary algorithm-based feature ...

Cancer is one of the most devastating diseases in the world. In 2023, more than 1.9 million new cancer cases and 609,820 deaths are projected to occur in the United States alone. As efforts are ...

Traditional machine learning algorithms for classification tasks operate under the assumption of balanced class distributions. However, this assumption only holds in some practical scenarios. In most ...