A new framework integrates graph databases with real-time machine learning to enhance fraud detection and risk control in digital finance. By ...
Generative AI trains on copyrighted music without permission. Neural fingerprinting detects both AI-generated tracks and ...
One of the key steps in developing new materials is property identification, which has long relied on massive amounts of ...
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Machine learning precisely predicts material characteristics for high-performance photovoltaics
With deep learning (a machine learning method that uses neural networks), the KIT researchers were able to make quick and precise predictions of solar cell material characteristics and efficiency ...
It feels like it was just yesterday that Sony hardware architect Mark Cerny was first teasing Sony's "PS4 successor" and its "enhanced ray-tracing capabilities" powered by new AMD chips. Now that ...
Que.com on MSN
Top AI Stocks to Invest in Today for Growth
In the ever-evolving world of technology, few sectors have attracted as much attention and investment as artificial intelligence (AI). With ...
Fabian Kiendl and Christian Schäflein of Maiwald examine how AI engineering can yield patentable inventions and consider the ...
Google's Michel Devoret, along with John Martinis and John Clarke, has been awarded the 2025 Nobel Prize in Physics for their ...
News-Medical.Net on MSN
Multimodal AI brings a new dimension to cardiovascular medicine
Although artificial intelligence has already shown promise in cardiovascular medicine, most existing tools analyze only one ...
AZoCleantech on MSN
AI-Powered Monitoring Boosts Marine Conservation Efforts
Advancements in AI and video monitoring reveal complex changes in marine ecosystems, crucial for enhancing conservation ...
PsyPost on MSN
Scientists use AI to detect ADHD through unique visual rhythms in groundbreaking study
A team of scientists has used AI to detect ADHD in adults by analyzing how their brains process rapid visual information. The ...
An AI tool can detect tiny brain lesions causing drug-resistant epilepsy in children with up to 94% accuracy, potentially ...
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