Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...
Wearable health sensors such as photoplethysmography (PPG) wristbands, ECG patches and multi-modal biometric devices are typically developed and calibrated under controlled laboratory conditions.
An offline, point-of-care algorithm on a smartphone fundus camera generated disease-specific outputs without cloud connectivity, addressing a major deployment barrier in low-resource screening ...
Quantum X Labs Inc. (Nasdaq: QXL) has demonstrated its first fully all-optical HRG, marking a step toward electrically isolated, high-performance inertial sensing systems for next-generation ...
A novel machine learning algorithm retrieves remote sensing reflectance (Rrs) from Himawari 8 geostationary data at 10 minute ...
The US Army successfully tests new fire control software, enhancing military precision and efficiency. Discover more about this technological breakthrough.
Abstract: Learning to optimize and automated algorithm design are attracting increasing attention, but it is still in its infancy in constrained multiobjective optimization evolutionary algorithms ...
Abstract: This research aims to explore the use of modern complex defensive machine learning algorithms in the provision of predictive analytics for health improvement. Incorporating electronic health ...
Ramp reports that AI expense management automates receipt processing, categorization, and policy enforcement, saving time, ...
For a child diagnosed with neuroblastoma-the most common infant cancer, occurring when early nerve cells grow out of control-the path to treatment isn't simple.
Astronomers at the Lowell Observatory in Flagstaff are using an innovative AI technique to revolutionize how meteors are categorized.
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