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How deep learning works and how it's used to create personalised recommendations

Deep learning is a subset of AI used to train artificial neural networks for complex data processing. Personalized recommendations are being enhanced by the efficiency of deep learning models, using data collection and preprocessing, building and training deep learning models, generating recommendations, and evaluating and refining the system.
Praveen Chand Kolli Carnegie Mellon University Chand Kolli Personalized Recommendations Deep Learning Model Deep Learning

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IIT Guwahati's AI model to predict knee osteoarthritis severity from X-rays

Researchers from the Indian Institute of Technology (IIT) Guwahati have developed a Deep Learning (DL)-based framework that automatically assesses the knee osteoarthritis severity from X-ray images.The AI-based model, named OsteoHRNet, can be ...
Palash Ghosh Indian Institute Of Technology Department Of Mathematics Department Of Computer Science World Health Organization Convolutional Neural Network

Knee Osteoarthritis: IIT-Guwahati develops framework to assess Knee Osteoarthritis severity

Researchers from the Indian Institute of Technology Guwahati have developed an artificial intelligence-based model named OsteoHRNet, which detects knee osteoarthritis severity from X-ray images. The algorithm uses an efficient Deep Convolutional Neural Network along with the High-Resolution Network, to accurately predict arthritis severity as per WHOs Kellgren and Lawrence grading scale.
United States Sibaji Gaj Rohit Kumar Jain Prasen Kumar Sharma Palash Ghosh Resolution Network Hrnet

LIONESS: A new tool for unraveling mysteries of the brain

Brain tissue is one of the most intricate specimens that scientists have arguably ever dealt with. Packed with currently immeasurable amount of information, the human brain is the most sophisticated computational device with its network of around 86 billion neurons.
Christoph Sommer Danielle Ellis Johann Danzl Philipp Velicky Scientific Service Units Hanspeter Pfister At Harvard University

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