Drug discovery has long been criticized for its slow, costly, and failure-prone nature. Traditional approaches, particularly ...

A study suggests that a single brain MRI can be used to predict a person's rate of aging across their whole body, which ...

Machine learning is an integral part of high-stakes decision-making in a broad swath of human-computer interactions. You ...

A graphene sensor trained by machine learning can now taste like a human, identifying both basic and complex flavors with ...

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

Finding relationships between bio-signals and health outcomes is complicated for many reasons, including sorting out irrelevant data.

In joint research with the University of Tokyo (UTokyo), the National Institute of Advanced Industrial Science and Technology ...

Machine learning (ML) is transforming protein structure prediction. Algorithms can predict 3D structures from amino acid sequences, surpassing slower, more expensive traditional methods.

The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

"By leveraging machine learning-based approaches in the design workflow, we can accelerate the design process to truly leverage the design freedom afforded by lattice structures and take advantage ...

Specialization: Machine LearningInstructor: Geena Kim, Assistant Teaching ProfessorPrior knowledge needed: Calculus, Linear algebra, PythonLearning Outcomes Explain what unsupervised learning is, and ...