News

The Next Hint4d
The Evolution of Image Annotation: From Manual Labeling to Automation
Explore the evolution of image annotation—from manual labeling to AI automation—powering innovations in healthcare, retail, ...
Tech Xplore on MSN1d
Improving AI models: Automated tool detects silent errors in deep learning training
TrainCheck uses training invariants to find the root cause of hard-to-detect errors before they cause downstream problems, ...
Physician's Weekly5d
Accurate deep-learning model to differentiate dementia severity and diagnosis using a portable electroencephalography device.
Mild cognitive impairment (MCI) and dementia pose significant health challenges in aging societies, emphasizing the need for accessible, cost-effective, and noninvasive diagnostic tools.
Frontiers1d
Advancements in deep learning based visual and robotics applications and systems for quality control in Industry 5.0
The emergence of Industry 5.0 marks a paradigm shift toward human-centric, sustainable, and resilient manufacturing. Unlike ...
Electronics3605d
Simplifying Edge intelligence: Open-source AutoML for embedded devices now generally available
AutoML for Embedded is available now on Visual Studio Code Marketplace and GitHub.
EurekAlert!4d
Are state-of-the-art deep learning traffic prediction models truly effective?
Accurate and efficient traffic speed prediction is crucial for improving road safety and efficiency. With the emerging deep ...
Frontiers2d
Harnessing Machine Learning for Enhanced Biomedical Diagnosis and Early Disease Detection: Bridging Data Science and Healthcare
Advancements in biomedical technologies have significantly facilitated the diagnosis and monitoring of diseases. Nonetheless, traditional diagnostic ...
Defense Daily2d
NGA, Army Unit Test AI-Based System For Locating And Identifying Objects In The Field
The National Geospatial-Intelligence Agency (NGA) and the Army’s 18th Airborne Corps in May successfully tested a prototype tool that uses imagery data ...