News

Harnessing generative AI to expand the mitochondrial targeting toolkit
The mitochondrion plays critical roles in cellular function, making it a prime organelle to target for fundamental studies, ...
Analytics Insight5d
Data Scientist Implements Autoencoder Deep Learning Model for Detecting Anomalies in Home Furnaces, Prioritizing Safety and Minimize Risk
One of the advancements is from data scientist Paril Ghori, who has effectively used an Autoencoder deep learning model to identify anomalies in residential furnaces. Utilizing cutting-edge machine ...
IEEE3d
A CNNs-Transformer Hybrid Masked Autoencoder With Contrastive Learning for Landslide Extraction
Self-supervised learning approaches, such as masked autoencoder (MAE) reconstruction and contrastive ... to preserve the resolution and effectively integrate both shallow and deep features, is ...
GitHub2d
AWS Deep Learning Containers
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet. Deep Learning Containers provide optimized environments ...
GitHub4d
Awesome Multimodal Machine Learning
Check out our comprehsensive tutorial paper Foundations and Recent Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions. Tutorials on Multimodal Machine Learning at CVPR ...