A novel machine learning algorithm retrieves remote sensing reflectance (Rrs) from Himawari 8 geostationary data at 10 minute ...

Researchers developed a new model to predict the likelihood of critical illness in patients with connective-tissue disease-associated ILD.

For each league, the application computes several statistics (features) about the teams, including their form, the performance of the last N matches, etc. The stats are computed for both the home team ...

Explore predictive modeling for compound prioritization, including in silico screening, toxicology models, and lead selection ...

Statisticians from across Europe teamed up to train a competition-predicting, machine learning algorithm. This is what they found.

The machine learning algorithm and subsequent simulations are fueled by data, expert knowledge and statistical models ...

Catalina Solorsano, a Klamath Falls mother of two, has crisscrossed southern Oregon and Northern California working in the heat and rain to lessen the risk of megafires. On Monday, she and eight other ...

The results show that Spain is favored to win with a probability of 14.5%. In times past, when we wanted to know which team would win the World Cup, we had to turn to seers with crystal balls, use ...

One of the key issues faced by financial institutions is the prediction of loan default. Two machine learning methods, Random Forest and K-Nearest Neighbors (KNN), are tested in this study, using an ...

You’re reading the web edition of STAT’s AI Prognosis newsletter, our subscriber-exclusive guide to artificial intelligence in health care and medicine. Sign up to get it delivered in your inbox every ...

Data science and machine learning algorithms can help us form probabilistic forecasts of things like sporting events.

Encryption systems rely on “random” numbers, but conventional computers can’t generate them perfectly. New research shows that quantum physics can. By Alexander Nazaryan Researchers in Switzerland ...