An artificial intelligence (AI) deep learning tool that estimates the malignancy risk of lung nodules achieved high cancer detection rates while significantly reducing false-positive results. Results ...

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 ...

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 ...

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 ...

Researchers trained and validated a deep learning model that can detect subtle changes across post-treatment brain scans and forecast glioma recurrence with up to 89 percent accuracy. Artificial ...

Altera University aims to affordably and easily introduce students to the world of FPGAs and digital logic programming tools by unveiling the curriculum, tutorials, and lab exercises that bridge the ...

After fine-tuning, the VGG16 convolutional neural network outperformed other deep learning models in 2 of 3 key classification tasks. The VGG16 convolutional neural network (CNN) achieved high ...

MathWorks and Altera, an Intel company, announced a collaboration to accelerate wireless development for Altera FPGAs by enabling wireless systems engineers to use AI-based autoencoders to compress ...

MathWorks, the leading developer of mathematical computing software, and Altera, an Intel company, today announced a collaboration to accelerate wireless development for Altera FPGAs by enabling ...