Researchers from Imperial and its spinout company SOLVE Chemistry have presented a chemical dataset at the prestigious AI conference NeurIPS that could help accelerate the use of machine learning to ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
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First-ever dataset to improve English-to-Malayalam machine translation fills critical gap for low-resource languages
The world's first dataset aimed at improving the quality of English-to-Malayalam machine translation—a long-overlooked ...
In recent years, JupyterLab has rapidly become the tool of choice for data scientists, machine learning (ML) practitioners, and analysts worldwide. This powerful, web-based integrated development ...
The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...
Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
See how machine learning is spotting Alzheimer’s years before symptoms begin—using brain scans to help guide earlier, more ...
Sensor data from wearable devices analyzed over five years reveals walking and posture differences that predict fall risk in Parkinson’s patients. Study: Predicting future fallers in Parkinson’s ...
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