This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to ...

A generative AI framework rapidly designs optimized fuel cell catalyst layers that deliver significantly better performance ...

Raina Biosciences published data from its generative AI platform in a study, “Deep generative models design mRNA sequences with enhanced translational capacity and stability,” recently published in ...

(a) Protein sequence-structure co-design with PocketGen; (b) Dual-layer graph Transformer encoder; (c) Pre-trained protein language model for sequence prediction and efficient fine-tuning. Researchers ...

This course provides a comprehensive introduction to diffusion models and flow models for generative AI, covering both theoretical foundations and methodological advancements. The course is divided ...

A newly developed generative AI model is helping researchers explore protein dynamics with increased speed. The deep learning system, called BioEmu, predicts the full range of conformations a protein ...

The timeline shows representative Generative AI technologies that were developed and refined during different historical periods. The color of each bullet point indicates the specific stage in the ...

Large language models and small language models will play different roles in ensuring that we deliver valuable generative AI applications at cost-effective levels. Generative AI applications revolve ...

Overview: Generative AI is rapidly becoming one of the most valuable skill domains across industries, reshaping how professionals build products, create content ...