MultiChoice South Africa partnered with the University of Pretoria to sponsor the MultiChoice Chair in Machine Learning, driving innovation and creating world-class scientists. MultiChoice South ...

Roshan Kenia presented a poster on how AI-CNet3D enhances glaucoma classification using cross-attention networks while ...

The ambiguity in medical imaging can present major challenges for clinicians who are trying to identify disease. For instance ...

It covers fundamental concepts of Machine Learning and Deep Learning, such as Supervised and Unsupervised Learning. You will also learn how to build, train, and deploy deep architectures. This class ...

In a recent advance, a multi-disciplinary team of researchers developed a machine learning framework that adapts to changes ...

In the ever-growing field of machine learning, one of the most significant challenges is making complex models interpretable and accessible. Enter AutoXplainAI, an innovative framework developed by ...

Using machine learning, researchers automatically calibrate a comprehensive climate model, improving simulations of difficult features and taking steps toward more reliable climate projections.

When machines fall short, we adjust. When students do, we blame. Here's what that says about learning and instruction.

A team of AI researchers at the University of California, Los Angeles, working with a colleague from Meta AI, has introduced d1, a diffusion-large-language-model-based framework that has been improved ...

Apr. 23, 2025 — New multidisciplinary research shows that the brain forms memories of cold experiences and uses them to control our metabolism. The study shows that cold memories form in the ...

Expedition 33 has done rather well for itself—going blow-for-blow with bigger budget competition in the JRPG space, a genre ...

In practice, they pursue opportunities and "teachable moments" that emerge throughout the discussion, and deftly guide students toward discovery and learning on multiple levels ... Assessment and ...