By using reinforcement learning, researchers train virtual agent to determine the best time to administer medication based on ...
Predicting earthquakes has long been an unattainable fantasy. Factors like odd animal behaviors that have historically been ...
Researchers found that the Gaussian Process Regression (GPR) machine learning model is the most reliable tool for forecasting ...
AI-assisted signal debugging has broad impact across many domains.
Breast cancer is a highly heterogeneous malignancy among women worldwide. Traditional prognostic models relying solely on clinicopathological features offer limited predictive accuracy and lack ...
Coronary artery disease (CAD) remains a leading cause of morbidity and mortality worldwide, and CT imaging plays a crucial ...
We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...
Under the influence of global warming, the Arctic is transitioning from a state dominated by multi-year thick ice to a "New ...
Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...
IIT Delhi’s 6-month programme offers faculty-led, hands-on training in Data Science, ML, Deep Learning and Generative AI, ending with a valuable certificate.
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