Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...
New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...
Understanding and preventing drug side effects holds a profound influence on drug development and utilization, profoundly impacting patients’ physical and mental well-being. Traditional artificial ...
RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.
The question of whether prehospital emergency anaesthesia and intubation improves survival in patients with major trauma has ...
Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
Around the world, millions of families have suffered forcible separation, through war, trafficking, natural disasters, or ...