In a first, the digital fiber contains memory, temperature sensors, and a trained neural network program for inferring physical activity.
Many patients use their inhalers and insulin pens wrong. Researchers have developed a system to reduce those numbers for some types of medications.
Researchers have succeeded in making an AI understand our subjective notions of what makes faces attractive.
Deep learning-based system enables dermatologist-level identification of suspicious skin lesions from smartphone photos, allowing better screening.
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.
Deep-learning methods have the potential to offer substantially better results, generating superior representations for characterizing the human brain.
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.