Researchers have developed a machine-learning workflow to optimize the output force of photo-actuated organic crystals. Using ...

The course sets up the foundations and covers the basic algorithms covered in probabilistic machine learning. Several techniques that are probabilistic in nature are introduced and standard topics are ...

The KAIST team employed the multi-objective Bayesian optimization machine learning algorithm. This algorithm learned from ...

Data science is an evolving subject that demands ongoing learning. Books continue to be among the best methods of acquiring ...

In the fast-paced world of online transactions, fraud prevention is a critical challenge for businesses. As fraud tactics ...

Explore how machine learning is transforming immunology—from epitope prediction to smarter vaccine design—plus key challenges ...

Our research focuses on developing statistical machine learning techniques, approximate Bayesian inference, simulation-based inference, and methods for trustworthy machine learning, as well as ...

The ideal candidate has a strong background in computational statistics and/or machine learning, and experience with Bayesian machine learning methods (e.g., Gaussian processes, variational inference, ...

Saria, part of Business Insider's 2024 AI Power List, directs the machine learning and healthcare lab at Johns Hopkins University and is the founder and CEO of the AI startup Bayesian Health.