Predicting tropical cyclones (TCs) accurately is crucial for disaster mitigation and public safety. Although the forecasting accuracy of TC tracks has improved substantially in recent decades, ...
Innovative X-ray technology from Hamamatsu Photonics improves safety standards in food and non-destructive testing through ...
Serendipitous meetings, scholarly collaborations, and an ethos of "encouraging junior faculty to think big" laid the ...
Deep Learning with Yacine on MSN
Digit Recognition With Deep Learning — PyTorch Beginner Project
Learn how to build a digit recognition model from scratch using PyTorch! This beginner-friendly deep learning project walks you through loading the MNIST dataset, creating a neural network, training ...
Most proteins in blood are measured outside their functional and cellular context. Machine learning was used to integrate ...
Shares of Nio Inc. took a dive Wednesday after the China-based electric-vehicle maker sold $1 billion worth of stock to the public in an effort to raise money so it can develop new models amid ...
High-content high-resolution microscopy coupled with deep learning-based analysis reveals novel phenotypes at the single-cell level during Shigella infection.
Chiranjeevi Devi's research focuses on building reliable data systems through anomaly detection, DevSecOps automation, and policy-as-code for compliance.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results