RNA has emerged as one of the most promising molecules in modern medicine, enabling advances from mRNA vaccines and gene ...

Students will use AI. The challenge is teaching them to use it in ways that strengthen learning. Educational psychology ...

Objectives Elective non-emergent surgical wait times have increased across countries such as Canada, straining operating room ...

Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...

Learn how AI modeling and kid-friendly 3D printing help children explore hands-on learning through design, testing, revision, and creative STEM projects.

Abstract: Performances of smartphones are profoundly affected by battery life. Maximizing the amount of usage of energy is essential to extend battery life. However, developers might concentrate more ...

Keep the news in the Wayback Machine. Sign Fight for the Future's letter. An icon used to represent a menu that can be toggled by interacting with this icon. A line drawing of the Internet Archive ...

We perform a comparative analysis of machine learning methods for the canonical problem of empirical asset pricing: measuring asset risk premia. We demonstrate large economic gains to investors using ...

Self-funded student: register by the 10th of the month, start on the 1st of the next. Funded student: please check the next enrolment deadline and course start date. The course deals with a broad ...

Michelangelo-AI is an open-source platform designed to streamline the development, deployment, and monitoring of machine learning models at scale. It offers a comprehensive suite of tools and services ...

Background The early prediction of functional outcomes in patients with posterior circulation stroke (PCS) is crucial for timely interventions and optimizing treatment plans. We have developed and ...