As organizations increasingly rely on algorithms to rank candidates for jobs, university spots, and financial services, a new ...
Machine-learning-informed simulations of physical phenomena ranging from drifting bands (left), resonant ripples (center) and ...
A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...
CoinDesk Research maps five crypto privacy approaches and examines which models hold up as AI improves. Full coverage of ...
When patient safety, regulatory approval and real-world effectiveness are on the line, AI can't act autonomously.
Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...
The rapid diffusion of generative artificial intelligence has significantly transformed contemporary digital advertising practices. While prior research has examined consumer responses to AI-driven ...
At this January’s massive NAMM music tech show in Los Angeles, six products won “best of show” awards. Several of them went to major music and electronic brands like Yamaha and Boss, but one of the ...
Creating a highly accurate geological model at a large scale presents a considerable challenge, primarily due to constraints imposed by sparse data availability. A promising strategy to mitigate these ...
Mistral AI, the Paris-based startup positioning itself as Europe's answer to OpenAI, released a pair of speech-to-text models on Wednesday that the company says can transcribe audio faster, more ...
Utah State University doctoral student Maha Moussa, a dual statistics and data science major, is a top awardee in an international statistics and data science student paper competition. As part of the ...
Abstract: As public indoor activities become increasingly diversified, the demand for accurate indoor positioning has grown significantly. To address the limitations of GPS in indoor environments, ...
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