OCLF (Object Centric Learning framework) is a framework designed to ease running experiments for object centric learning research, yet is not limited to this use case. At its heart lies the idea that ...

For the pre-processing, we study several aspects of processing time-series sensor data and identify the key techniques for complementing deep learning models’ limitations. We utilize the mixed-gas ...

Learn the essential steps to creating your own machine learning framework or library, from planning and designing to coding and testing, and how to document, publish, and distribute it.

Enhancing and extending learning with technology, grounded in sound learning theories, provides a potential to increase the level of competencies that are desirable for both the learning process and ...

“McMaster’s Digital Learning Strategic Framework helps prepare students for the future of work and for connecting with researchers, communities, industry partners and future employers around the globe ...

Machine Learning for Apple Silicon In an X-note , Awni Hannun , of Apple’s ML team, calls the software: “…an efficient machine learning framework specifically designed for Apple silicon (i.e ...

These challenges inspired Zou and his lab group to develop their new framework. AIDED operates in a closed-loop system where a genetic algorithm — a method that mimics natural selection to find ...

April 22, 2025- A team of researchers at the University of Toronto are harnessing the power of machine learning to improve additive manufacturing and enhance the quality of parts that are produced..