The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...
Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...
More than a decade ago, researchers launched the BabySeq Project, a pilot program to return newborn genomic sequencing results to parents and measure the effects on newborn care. Today, over 30 ...
Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
As financial crime grows in scale, speed, and sophistication, banks are increasingly turning to artificial intelligence, ...
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