Posts Tagged: deep learning
New research on materials science datasets shows the amount of training data can be significantly reduced with minimal impact on the performance of the model
Professor Xilin Liu (ECE) integrates microelectronics and artificial intelligence algorithms into neural implants to more effectively manage symptoms of Parkinson’s, epilepsy and other conditions
Professor Parham Aarabi has set up a tool using a simple email-based interface to remind participants of important information based on algorithmic priority and a relevant index of keywords
More accurate measurements are critical to preventing microplastics from entering the environment — or removing those that are already there
U of T Engineering professors Scott Sanner (MIE) and Vaughn Betz (ECE) are developing next-gen tools for conversational assistants, and the production of more powerful computer chips
Team recognized for combining artificial intelligence and genomic medicine to create DeepBind, the first-ever deep-learning application for determining the specificities of DNA- and RNA-binding proteins
Showing 1 - 6 of 8 results