Absci Bio releases IgDesign: A deep learning approach to transform antibody design with reverse folding – MarkTechPost
Absci Bio releases IgDesign: A deep learning approach to transform antibody design with reverse foldingmark tech post
Absci Bio releases IgDesign: A deep learning approach to transform antibody design with reverse foldingmark tech post
3D-to-2D knowledge distillation enhances deep learning-based neuroimaging classificationmark tech post
From algorithms to insights: how artificial intelligence, machine learning, and deep learning are shaping our future!organizer
Deep learning pipeline to accelerate virtual screening in drug discoveryNature.com
Rethinking weight loss: Beyond regularization in modern deep learningmark tech post
Microsoft Releases GRIN MoE: Gradient-Informed Mixture of Experts MoE Model for Efficient and Scalable Deep LearningMark Tech Post
Deep Learning for Crop Yield Prediction (Part 1 — The Model)Towards Data Science Machine learning now helps with seed selection and crop demand forecastingAgweb is powered by Farm Journal New…
Physics-based deep generative learning for quantitative evaluation of the retinaNature.com
Deep learning is a subset of machine learning, which is itself a subset of artificial intelligence (AI). Deep learning models are inspired by the structure and function of the human…
Optimizing Deep Learning Models with Weight Quantization | By Chien Vu | June 2024 Towards Data Science
Hewlett Packard Enterprise announced updates to its artificial intelligence native portfolio to accelerate the operationalization of generative AI, deep learning, and machine learning applications. According to the company, this update…
https://www.biorxiv.org/content/10.1101/2023.12.22.573103v1 A team of researchers at the University of Washington collaborated to address challenges in protein sequence design methods using LigandMPNN, a deep learning-based protein sequence design method. This model…