A team of researchers have developed a domain adaption framework capable of transferring knowledge from solar power plants ...

Airbnb has developed Impulse, an internal load testing framework to improve microservice reliability and performance. It ...

Biologists and computational scientists at the U.S. Department of Energy's (DOE) Brookhaven National Laboratory recently ...

This article proposes an intelligent prediction method for the orbital lifetime of resident space objects (RSOs) in low-Earth orbit. This method is intended to satisfy the computational efficiency and ...

Here is The Oklahoman’s two-deep prediction for OU football's 2025 offense.

OU football's depth chart is expected to be released sometime next week. Now that camp has wrapped, here is The Oklahoman’s two-deep prediction.

Japanese carrier All Nippon Airways has implemented a turbulence-prediction service based on artificial intelligence, following several years of testing and validation. ANA and Keio University ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

A machine learning model bests traditional methods for predicting cirrhosis mortality among hospitalized patients.

Methods A multimodal deep-learning model with transformers was developed for real-time recurrence prediction using baseline clinical, pathological, and molecular data with longitudinal laboratory and ...

This project presents a complete workflow for cone detection in Formula Student Driverless scenarios using deep learning. It demonstrates how to use MATLAB® and Simulink® for data preparation and ...