IOP Publishing’s Machine Learning series is the world’s first open-access journal series dedicated to the application and ...
Southwest Research Institute (SwRI) has developed a method to automate the calibration of heavy-duty diesel truck emissions ...
Princeton Nobel laureate John Hopfield and alumna Fei-Fei Li received 2025 Queen Elizabeth Prize for Engineering from King ...
The milestone makes machine-learning trailblazer Yoshua Bengio the most cited researcher on Google Scholar. Computer ...
The Waymo expansion here accelerates the spread of machine-learning technology and may help self-driving cars overcome a ...
Python might be the default for most AI and machine learning development, but what about other popular languages? Here’s what ...
Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy (XAS) is an important technique for this, as it reveals detailed insights ...
Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
A machine learning model can use patient-reported data and remote therapeutic monitoring to accurately assess low disease activity in rheumatoid arthritis, according to data presented at ACR ...
AI and hyperlocal targeting are merging to create a new era of advertising where machine learning delivers precision at scale ...
The integration of AI, specifically machine learning, into physical security architecture shows promise in helping organizations better identify threats, improve response times and aid security ...
When training large language models on human speech, they have the entire history of human communication to pull from. For ...