Infrared optoelectronic functional materials are essential for applications in lasers, photodetectors, and infrared imaging, ...

Researchers used machine learning and UK Biobank data to identify predictors of subjective tinnitus presence and severity.

AI Trading Platform Market is projected to hit USD 75.5 billion by 2034, driven by a robust CAGR of 20.7% over the forecast ...

This study presents a compact MEMS gas sensor that combines pulsed heating with machine learning, achieving high selectivity ...

RaySearch Laboratories AB (publ) announces the launch of RayStation®* v2025, the latest version of the company's innovative treatment planning system. The new version comes with fast automated ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

College of Energy, Soochow Institute for Energy and Materials InnovationS (SIEMIS), and Jiangsu Provincial Key Laboratory for Advanced Carbon Materials and Wearable Energy Technologies, Soochow ...

A team of San Antonio-based biomedical researchers trained a machine learning algorithm to identify more than two dozen viable treatments for diseases caused by zoonotic pathogens that can jump from ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...

A new paper by investigators from Mass General Brigham showcases the power of scalable protein engineering combined with machine learning to boost progress in the field of gene and cell therapy.

MIT researchers have created a periodic table that shows how more than 20 classical machine-learning algorithms are connected. The new framework sheds light on how scientists could fuse strategies ...