Researchers are leveraging machine learning to improve additive manufacturing, also commonly known as 3D printing. The team introduces a new framework they've dubbed the Accurate Inverse process ...

Accurate crop yield prediction is critical for global food security, economic planning, and insurance modeling. Traditional ...

New AIDED framework from the University of Toronto Engineering uses machine learning to enhance metal 3D printing.

Neurobehavioral data combined with computational models shows the superiority of active inference models in explaining human decisions under uncertainty.

Researchers at University of Toronto Engineering, led by Professor Yu Zou, are leveraging machine learning to improve ...

The Aardvark Weather machine learning algorithm is much faster than traditional systems and can work on a desktop computer.

After its world premiere at the Toronto International Film Festival in 2023 and playing other fests through the past year, Hur Jin-ho’s “A Normal Family” will touch down in North America in ...

Objective To develop an interpretable artificial intelligence algorithm to rule out normal large bowel endoscopic biopsies ... Therefore, this gives us confidence that the network is learning key ...

The normal resting heart rate varies by age. In adults, any number between 60 and 100 beats per minute (bpm) is considered a good resting heart rate. Babies and young children have higher resting ...

The playbook also provides extensive benchmarking insights, demonstrating the importance of empirical testing in optimizing training configurations. By testing various setups to determine the best ...

Introduction: Extreme learning machine (ELM) is a training algorithm for single hidden layer feedforward neural network (SLFN), which converges much faster than traditional methods and yields ...