Thinking of diving into deep learning in 2025? Here's how I'd start today—from foundational concepts to cutting-edge tools. AI is evolving fast, but it's never too late to get in. #DeepLearning2025 ...

This repository contains the implementation, benchmarks, and supporting tools for my MSc dissertation project: Self-learning Variational Autoencoder for EEG Artifact Removal (Key code only). Benchmark ...

Issue localization involves identifying exact code locations that require modification to fix software problems, a process that often demands significant manual effort from developers, especially in ...

Functions and example script to read data from NRCan CSRS-PPP output files and combine the single day solutions into a single multi-day solution with statistical testing. Applications range from ...

It seems like everywhere you look, AI is there–and classrooms are no exception. During an ISTELive 25 session, Eric Curts, a technology integration specialist with the Stark Portage Area Computer ...

Objective: This study aimed to evaluate the effectiveness of deep-learning models using transrectal ultrasound (TRUS) video clips in predicting prostate cancer. Methods: We manually segmented TRUS ...

A new machine learning approach that draws inspiration from the way the human brain seems to model and learn about the world has proven capable of mastering a number of simple video games with ...

After almost a decade of hands-on workshops and ongoing research, educators share the power of digital storytelling as an approach that makes learning more personal, emotional, and impactful Antonia ...

Cloud content management giant Box Inc. today is expanding its artificial intelligence capabilities with the launch of new AI agents for search, deep research and data extraction that will automate ...

Deep learning has been widely applied to high-dimensional hyperspectral image classification and has achieved significant improvements in classification accuracy. However, most current hyperspectral ...