Sufi K Sulaiman Joins 1cPlatform as CTO, Taking the Helm to Shape the Company’s Next Era of Intelligent Automation and ...
Researchers at the University of California, Los Angeles (UCLA), in collaboration with pathologists from Hadassah Hebrew ...
DeepSeek has expanded its R1 whitepaper by 60 pages to disclose training secrets, clearing the path for a rumored V4 coding ...
For decades, the process of drug discovery has been a prolonged, costly, and unpredictable endeavor — an effort that ...
Amid this shift, Interview Kickstart has introduced an advanced machine learning and agentic AI program designed to help ...
XED is a global executive education powerhouse built at the intersection of leadership, deep rooted vision, and brilliant ...
A research team has developed DeepCodon, a deep learning–based codon optimization tool that significantly improves heterologous protein expression in Escherichia coli while preserving functionally ...
DeepSeek's proposed "mHC" design could change how AI models are trained, but experts caution it still needs to prove itself ...
Abstract: Graph neural networks (GNNs), a class of deep learning models designed for performing information interaction on non-Euclidean graph data, have been successfully applied to node ...
Mindsmith, the AI-native e-learning platform that combines the speed of artificial intelligence with modern learning science, announced today a $4.1 million seed funding round to accelerate its ...
List of papers about Protein Design using Deep Learning This repository is inspired by the remarkable work of Kevin Kaichuang Yang and their outstanding project Machine-learning-for-proteins. We have ...
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