A curated collection of the most timely and relevant news, updates and information from the world of AI and machine learning.
Scientists from the US developed a deep learning model called a convolutional neural network, capable of classifying numerous intracranial tumor types without the need for a scalpel.
Researchers have developed a new way to accurately predict the 3-D structures of RNA molecules, using an AI system trained with a small number of known RNA shapes.
Researchers used an AI algorithm called Phe2vec to study patterns to help accelerate clinical research by learning how to identify disease phenotypes from patient EHR.
An AI System Trained by Loughborough University Researchers Recognizes the Pre-Movement Patterns From an EEG
Researchers from Loughborough University have published a research paper on possible results for training robots to ferret out the intention of arm movement before humans articulate the movement.
Researchers from Kaunas university developed a deep learning-based method to predict the possible onset of Alzheimer’s disease from brain images with an accuracy of over 99 percent.