Using a high-throughput fluorescence microscopy system and machine learning algorithms, oxidative stress-related changes in ...

Disclaimer: This news article is a direct feed from ANI and has not been edited by the News Nation team. The news agency is ...

Today, genomics is saving countless lives and even entire species, thanks in large part to a commitment to collaborative and ...

How Lin He's journey from tech analytics to solving a $30 billion problem could reshape the backbone of the U.S. econo ...

The paper aims to assess the efficiency of machine-learning techniques in augmenting the detection and identification of Android malware. A comprehensive framework is proposed which relies on the use ...

The statistician, whose research covers machine learning and big data analysis, leaves Florida for Zhejiang's Westlake University Award-winning data scientist She Yiyuan has left the United States to ...

Machine learning (ML) algorithms are techniques that allow computers to learn from the data without being explicitly programmed. ML techniques consist of hyperparameters that typically influence ...

The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

Through so-called natural language processing, AI can identify misinformation, track its spread and monitor the digital ...

Long overlooked and underestimated, glial cells—non-neuronal cells that support, protect and communicate with neurons—are ...

While AI-driven approaches tout increased speed and lower costs, commercial interests compromise scientific collaboration.

Self-learning AI enhances behavioral analytics for detecting advanced threats and insider risks, but demands careful ...