A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

A deep learning system can accurately detect vision-threatening diabetic retinopathy, demonstrating specialist-level diagnostic performance.

What we tried, what didn't work and how a combination of approaches eventually helped us build a reliable computer vision model.

Applied Analytics professor Siddhartha Dalal discusses the impacts of applied technologies on real-life risk management.

The rise of real-time object detection and CNN models like YOLO is powering operational efficiency across ports, warehouses, ...

Deep learning has revolutionised the field of image analysis and object detection by enabling computational models to learn hierarchical representations from vast datasets. This paradigm, largely ...

The researchers report that their model achieved a 93% cross-validation score in binary classification, underscoring its ...

As a technical discipline, the field of AI began in the mid-20th century. In 1950, British mathematician Alan Turing proposed ...

Four of the 25 most-cited scientific papers of the 21st century were authored or co-authored by University of Toronto ...

This annual awards celebrates the products exhibited at ISTELive that are transforming education in schools around the world.

Forecasting is a fundamentally new capability that is missing from the current purview of generative AI. Here's how Kumo is changing that.

Nvidia’s latest update to its AI-powered upscaling technology, DLSS 4, has officially moved out of beta with the release of a new Transformer-based model. DLSS (Deep Learning Super Sampling) has ...