‘Seeing Is Believing’ Is Dead: AI Deepfakes Have Broken Visual Evidence

You can't trust photos or videos anymore—insurance scams, court battles and police cases hang in the balance. Digital forensics has never been more critical.
America Magazine

How my Jesuit high school sparked my deep love for The Who

As my favorite rock group, The Who, completed its final tour of the United States and Canada this October, I couldn’t help thinking of two unlikely inspirations for my love of their music: two Jesuit ...
Frontiers

High-resolution deep learning-reconstructed T2-weighted imaging for the improvement of image quality and extraprostatic extension assessment in prostate MRI

Purpose: This study evaluates the impact of high-resolution T2-weighted imaging (T2 HR) combined with deep learning image reconstruction (DLR) on image quality, lesion delineation, and extraprostatic ...
IEEE

A Large-Scale Aerial and Satellite Image Dataset for Deep Learning-Based Image Super-Resolution of Very High-Resolution Remote Sensing Imagery

Abstract: Recently, deep learning-based image super-resolution (SR) has emerged as an effective and cost-efficient solution for obtaining images that surpass the physical limitation of sensors.
The News-Times

Danbury school leaders hope the shift to career-focused learning will reengage high school students

DANBURY — Five years ago, faced with a Danbury High School building on Clapboard Ridge Road that was bulging with students and enrollment that continued to grow, education and city leaders sought to ...
IEEE

Ice-Unet: A Very High-Resolution UAV-Optimized Deep Learning Model for Sea Ice Classification

Abstract: Polar sea ice monitoring is critical for global climate research and Arctic ship navigation, yet traditional satellite remote sensing struggles to resolve microscale ice features due to ...
Frontiers

Efficient high-resolution microscopic ghost imaging via sequenced speckle illumination and deep learning from a single noisy image

This study presents a novel approach for achieving high-quality and large-scale microscopic ghost imaging by integrating deep learning-based denoising with computational ghost imaging techniques. By ...