Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...
A new algorithm could drive breakthroughs in understanding cancer, Alzheimer's disease and other potentially fatal conditions ...
Scale buildup, especially calcium carbonate (CaCO₃), is a common problem in Enhanced Oil Recovery (EOR) operations, often caused by injecting incompatible water or by changes in pressure and ...
A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train machine-learning algorithms—addressing a ...
Artificial intelligence is transforming how we live and work, from personalized recommendations to health care innovation.
AI R&D runs on a cycle of hypothesis, experiment, and analysis — each step demanding substantial manual engineering effort. A new framework from researchers at SII-GAIR aims to close that bottleneck ...
Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...