From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...
What if vaccine development didn’t have to take a decade? This piece looks at how AI is helping scientists ask better ...
A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
Global AI In Predictive Toxicology Market size is expected to be worth around USD 4,964.3 Million by 2033 ...
Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...
Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way ...
Research reveals that knowledge distillation significantly compensates for sensor drift in electronic noses, improving ...
Senvol has received funding from the US Navy to lead a project focused on demonstrating that Senvol ML, the company’s machine ...
Background Suicide rates have increased over the last couple of decades globally, particularly in the United States and among populations with lower economic status who present at safety-net ...
A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...
As modern manufacturing increasingly relies on artificial intelligence (AI), automation, and real-time data processing, the need for faster and more energy-efficient computing systems has never been ...
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