Generating Synthetic Data Using a Variational Autoencoder with PyTorch. Generating synthetic data is useful when you have imbalanced training data for a particular ... Because the input values are ...

Deep variational autoencoder for proteomics mass spectrometry data analysis. Research. Journal Research Funder the Ministry of Science and Technology of the People's Republic of China, ...

A technical paper titled “Improving Semiconductor Device Modeling for Electronic Design Automation by Machine Learning Techniques” was published by researchers at Commonwealth Scientific and ...

Variational AI is redefining the unit economics of drug discovery through the power of generative AI. The founding machine learning (ML) team comes from leading AI research labs at Google, Microsoft, ...

Companies will jointly research DNA-damage response kinase targets to identify potential drug candidates for the treatment of cancerVANCOUVER, British Columbia, Sept. 17, 2024 (GLOBE NEWSWIRE ...

New funding to fuel market expansion of compute efficient foundation model for biopharmaceutical companies VANCOUVER, British Columbia–(BUSINESS WIRE)–February 20, 2025– Variational AI, the ...

VANCOUVER, British Columbia, February 20, 2025--Compute efficient generative AI foundation model for small molecule drug discovery start-up announces funding from leading AI and biotech investors.