A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.

What happens when intelligence moves off the cloud and onto the device? Edge AI Studio cuts latency, improves performance, ...

Abstract: This study explores the application and practice of deep learning algorithms and MATLAB software in teaching higher mathematics. The teaching case design of function approximation, ...

Companies investing millions in generative AI may soon find themselves stalled—not by the technology’s limits, but by their people’s. As generative AI becomes more ubiquitous, a paradox has emerged: ...

In a college-entrance-exam landscape long dominated by the SAT and the ACT, a relative newcomer has started to gain traction—especially in red states. The Classic Learning Test, first unveiled a ...

Can cvxpylayers be used within MATLAB? To my knowledge, CVX can already be called directly from MATLAB, and the MATLAB Deep Learning Toolbox also supports automatic differentiation. I am therefore ...

Abbas Yazdinejad is a postdoctoral research fellow in artificial intelligence and cybersecurity in the AIMML at the University of Toronto. Jude Kong receives funding from NSERC, NFRF, IDRC, FCDO and ...

As AI models move from design to production, engineers face a double-faceted challenge: delivering real-time performance on embedded devices with limited computational power and memory. Neural ...