
Deep learning tool to revolutionize microscopy
Researchers have developed a deep learning tool that offers new opportunities for analyzing images taken with microscopes.
Researchers have developed a deep learning tool that offers new opportunities for analyzing images taken with microscopes.
Researchers have developed advanced explainable AI in a technical tour de force to decipher regulatory instructions encoded in DNA.
Deep learning-based system enables dermatologist-level identification of suspicious skin lesions from smartphone photos, allowing better screening.
Researchers have analysed whether better design of deep learning studies can lead to the faster transformation of medical practices.
A machine learning system learns on the job. By continuously adapting to new data inputs, this “liquid network” could aid decision-making in medical diagnosis.
Computer scientists use TACC systems to generate synthetic objects for robot training.
Researchers have developed smartphone-based apps that solve the biggest problems for people with hearing loss: filtering out background noise and improving speech perception.
Deep-learning methods have the potential to offer substantially better results, generating superior representations for characterizing the human brain.
Researchers have developed a new photonic processor that could revolutionize artificial intelligence.
Artificial neural networks open up new possibilities in interpreting the time-consuming imaging ´data.
Experts working at the intersection of robotics, machine learning, and physics-based simulation share how computer simulation could accelerate the development of "smart robots" which "might interact with humans"
A device could help scientists better understand the health benefits of outdoor lighting and lead to wearables that could nudge users to get more outdoor time.
Researchers have developed a way for deep learning neural networks to rapidly estimate confidence levels in their output.
A computer vision technology has been put into a free mobile phone app for regular monitoring of glucose levels in people with diabetes.
Researchers have developed an AI-powered forecasting tool for predicting influenza outbreaks.
An artificial intelligence-based detects early stages of Alzheimer’s through functional magnetic resonance imaging.
Researchers have developed a wrist-worn device for 3D hand pose estimation. The system consists of a camera that captures images of the back of the hand, and is supported by a neural network.
Researchers have revelead the mechanism behind making materials used in new memory devices by using artificial intelligence.
Scientists have developed an extremely rapid diagnostic test that detects and identifies viruses in less than five minutes.
Researchers have created artificial intelligence algorithm that can automatically identify patients at high risk of intentional self-harm, based on the information in the clinical notes in the electronic health record.
Find out more about how scientists and physician are using AI to make contributions in the fight against the coronavirus.
Researchers at the University of Helsinki have developed a technique in which a computer models visual perception by monitoring human brain signals.
AI experts report that they have successfully addressed a major obstacle to increasing AI capabilities.
Researchers announced that their coughing detection camera recognizes where coughing happens, visualizing the locations.
Researchers have developed an algorithm that not only predicts hospital readmissions of heart failure patients, but also tells you why these occur.
Researchers have designed a wrist-mounted device and developed software that allows continuous tracking of the entire human hand in 3D.
Research shows how so-called “critical states” can be used to optimize artificial neural networks running on brain-inspired neuromorphic hardware.
Scientists have developed a sensory integrated artificial brain system that mimics biological neural networks, which can run on a power-efficient neuromorphic processor.
Researchers have developed a neural network capable of recognizing retinal tissues during the process of their differentiation in a dish.