Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

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

The computer scientist is receiving a grant of 2.5 million euros to develop innovative algorithms in computer vision. These innovative AI models are designed to be able to both understand and ...

Abstract: The performance of machine learning algorithms are affected by several factors, some of these factors are related to data quantity, quality, or its features. Another element is the choice of ...

US non-profit Food System Innovations has launched an AI-led Food Intelligence Lab to create better-tasting alternative proteins with an open-source model, in an effort backed by the Bezos Earth Fund.

Six machine learning algorithms—k-nearest neighbors, naive Bayes, multilayer perceptron, random forest, support vector machine, and Extreme Gradient Boosting (XGBoost)—were developed using 10-fold ...