To help professionals build these capabilities, we have curated a list of the best applied AI and data science courses.

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

According to Andrej Karpathy on Twitter, the Python random.seed() function produces identical random number generator (RNG) streams when seeded with positive and negative integers of the same ...

Abstract: A high-precision storm-time ionospheric model is crucial for both ionospheric research and precise positioning applications of global navigation satellite systems (GNSSs). However, the ...

Climate scientists love trees, but forests are creating a massive blind spot in our predictions. From carbon sinks to permafrost, this video reveals why our models might be way off...and what that ...

Black Forest Labs, the AI startup whose models once powered the image generation features of X’s Grok chatbot, on Thursday released a new suite of image-generating models — some of which can both ...

Early prediction of acute respiratory distress syndrome (ARDS) after liver transplantation (LT) facilitates timely intervention. We aimed to develop a predictor of post-LT ARDS using machine learning ...

This multi-phase project identifies key satisfaction drivers and provides actionable insights to improve customer experience using statistical analysis and machine learning models, including logistic ...

1 Information System Department, Faculty of Commerce and Business Administration Helwan University, Cairo, Egypt. 2 Computer Science Department, Faculty of Computer and Artificial Intelligence, Helwan ...