Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...
As the cryptocurrency market sees significant developments, various altcoins continue to gain attention for their growth ...
In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...
PsyPost on MSN
Personality traits predict students’ use of generative AI in higher education, study finds
Students who are curious, organized, and outgoing may be more likely to incorporate generative artificial intelligence tools ...
Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...
16mon MSN
Machine learning and cell imaging combine to predict effectiveness of multiple sclerosis medication
Brazilian researchers, in partnership with French institutions, have developed a tool that can predict how patients will ...
News-Medical.Net on MSN
Machine learning unlocks blood test secrets for spinal cord injury
Routine blood samples, such as those taken daily at any hospital and tracked over time, could help predict the severity of an injury and even provide insights into mortality after spinal cord damage, ...
Who is the Master's in Artificial Intelligence and Machine Learning program for? Drexel’s College of Computing & Informatics' Master of Science in Artificial Intelligence and Machine Learning (MSAIML) ...
What if a helper robot could sense when your brain was tired? Assistant professor Maria Kyrarini receives two major NSF grants to design responsive robots to assist people with paralysis and ...
A research team demonstrates that unmanned aerial vehicles (UAVs) equipped with multispectral sensors can rapidly and accurately estimate two key photosynthetic traits—the maximum carboxylation rate ...
Our study found that people are now able to distinguish between AI-generated and human-authored content only 51% of the time.
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