Abstract: Yoga pose classification is critical for intelligent environments, health, and fitness applications. This study investigates resource-efficient implementations of classification models using ...
Investigators developed and validated a masked autoencoder deep learning model using vision transformer technology to automate the detection and grading of nuclear cataracts from slit-lamp images.
ChatGPT is 33% more reliable with better memory. Anthropic launched a research institute on AI's impact on work. A study shows too many AI tools hurt productivity; focus on high-value ones. 33% of US ...
Accuracy and Computational Cost of Machine Learning Models for Electromagnetic Object Classification
Abstract: Classification of randomly oriented objects from electromagnetic data is important in applications such as remote sensing and security screening, where robustness to simulation/measurement ...
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