We just finished up more than a week of testing for Indiana’s Learning Evaluation and Assessment Readiness Network, better ...

Abstract: Self-supervised contrastive learning methods offer a promising approach to the small-sample synthetic aperture radar (SAR) automatic target recognition (ATR) problem by autonomously ...

Read more about Deep reinforcement learning could redefine insulin delivery for diabetes patients on Devdiscourse ...

Sample selection improves the efficiency and effectiveness of machine learning models by providing informative and representative samples. Typically, samples can be modeled as a sample graph, where ...

TEXPLORE: Real-Time Sample-Efficient Reinforcement Learning for Robots. Todd Hester and Peter Stone. Machine Learning, 90(3):385–429, 2013.

Are there therapies to slow the decline in lung function that occurs in patients with bronchiectasis? Bronchiectasis is a progressive disease, and frequent exacerbations are critical events ...

Election day is May 6, and polls will be open from 7 a.m. to 8 p.m. Absentee ballots must be received by 8 p.m. on Election ...

The iCares bandage uses innovative microfluidic components, sensors, and machine learning to sample and analyze wounds and provide data to help patients and caregivers make treatment decisions.

Abstract: Robot locomotion learning using reinforcement learning suffers from training sample inefficiency and exhibits the non-interpretable/closed-box nature. Thus ...

Many physicians tremble when they read about the high quality of artificial intelligence recommendations for diagnosis and ...

A research group has developed an innovative machine learning technology that enables predictions beyond the distribution of ...

Researchers have successfully employed an algorithm to identify potential mutations which increase disease risk in the noncoding regions our DNA, which make up the vast majority of the human genome.