Teachers play a vital role in preparing students for an AI-driven world, in which they'll need to know how to critically assess AI and spot any bias, misinformation and ethical challenges.

Genetic Algorithms, Neural Networks. COURSE GOALS: To expose students to concepts and methods in machine learning. To give students a basic set of machine learning tools applicable to a variety of ...

A research group has developed SPACIER, an advanced polymer material design tool that integrates machine learning with ...

Operating Digital Twins: virtually manage, monitor and optimize physical assets. A digital twin operates through a cycle of ...

See How It Works for details. Explain what unsupervised learning is, and list methods used in unsupervised learning. List and explain algorithms for various matrix factorization methods, and for what ...

A machine learning algorithm that used self-reports and blood samples recently identified bipolar disorder patients in various scenarios, potentially providing a helpful supplement for clinicians ...

Connecting decision makers to a dynamic network of information, people and ideas, Bloomberg quickly and accurately delivers ...

In this specialization, students will learn about algorithms like linear/nonlinear regression ... implement scalable data storage solutions, and basic machine learning concepts. Data science ...