To addresses this challenge, we developed a pre-trained cell-type annotation method, namely scDeepSort, using a state-of-the-art deep learning algorithm, i.e. a modified graph neural network (GNN) ...

IIPE offers a Web-based M.Tech in Data Science & Machine Learning for professionals, with flexible scheduling and fee waivers ...

Rapid penetration of AI in industries is enhancing its ability and making it smarter and more efficient. This, in turn, is ...

Rose Yu has drawn on the principles of fluid dynamics to improve deep learning systems that predict traffic, model the ...

Santa Clara, California – Consumer technology is transforming with AI-enabled devices poised to dominate by 2028. According to Dell, nearly 98% of PCs will be AI-enabled by that year. Similarly, IDC ...

Endogenous intracellular allosteric modulators of GPCRs remain largely unexplored, with limited binding and phenotype data available. This gap arises from the lack of robust computational methods for ...

Learn how to implement SGD with momentum from scratch in Python—boost your optimization skills for deep learning.

In this research, AI-based deep learning models are proposed to classify the images of eight kinds of cancer, such as lung, brain, breast, and cervical cancer. This work evaluates the deep learning ...

This repo contains the code for the O'Reilly Media, Inc. book "Hands-on Unsupervised Learning Using Python: How to Build Applied Machine ... datasets to discover meaningful patterns buried deep in the ...