SIAT Researchers Design Novel Deep Learning System to Assess Skeletal Maturity
Researchers introduced an ensemble-based deep learning pipeline to automatically assess the distal radius and ulna (DRU) maturity from left-hand radiographs.
AI Technology & Industry Review
Researchers introduced an ensemble-based deep learning pipeline to automatically assess the distal radius and ulna (DRU) maturity from left-hand radiographs.
Synced presents 13 comprehensive case studies and 74 use cases in five main application scenarios to demonstrate how AI has assisted and can continue to assist in efforts to roll back COVID-19.
How AI is helping fight COVID-19?
LinearDesign, an efficient algorithm for optimized mRNA sequence design.
Researchers recently developed and open-sourced COVID-Net, a convolutional neural network for detecting COVID-19 through chest radiography.
Fei-Fei Li, Stanford computer science professor and co-director of Stanford’s Human-Centered AI Institute (HAI), shared her thoughts on possible AI technologies that could help care for the seniors during the coronavirus pandemic