Functional photoacoustic microscopy reaches super-resolution by tracking red blood cells

The brain relies on real-time delivery of oxygen and nutrients through its microvasculature, which threads through neural ...
Healthcare in Europe

Fujifilm to unveil new ultrasound platforms at ECR 2026

Fujifilm Healthcare Europe will present the new Arietta DeepInsight x ultrasound technology platforms at the House of Fujifilm experience at ECR 2026: Rays of Knowledge.

Scientel achieves 6 Trillion Parameter LLM run on Ohio State OSC Supercomputer

Trillion Parameter run achieved with DeepSeek R1 671B model on 36 Nvidia H100 GPUs We are pleased to offer a Trillion ...
IEEE

High-Fidelity Seismic Super-Resolution Using Prior-Informed Deep Learning With 3D Awareness

Abstract: The limitations of seismic vertical resolution pose significant challenges for the identification of thin beds. Improving the vertical resolution of seismic data using deep learning methods ...
IEEE

Effective Frequency Band Driven Limited-Sample Deep Learning High-Resolution Seismic Processing Method

Abstract: The popular deep learning high-resolution seismic processing methods face great challenges in achieving desirable high-SNR (signal-to-noise ratio) high-resolution results of the field ...
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 ...
The New York Times

Hard-Fought Treaty to Protect Ocean Life Clears a Final Hurdle

The global High Seas Treaty, decades in the making, will become international law. It aims to create vast maritime conservation areas. By Max Bearak The high seas, the vast waters beyond any one ...
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 ...