Hybrid quantum-classical machine learning for generative chemistry and drug design, the researchers developed a hybrid model that combines a compact discrete variational autoencoder (DVAE ...

The design pattern presented here will work for most variational autoencoder data generation scenarios. If your raw data contains a categorical variable, such as "color" with possible values "red," ...

With this new funding, Variational AI is poised to bring its technology to a broader market, helping biopharmaceutical companies design novel drugs faster and more efficiently.

A technical paper titled “Improving Semiconductor Device Modeling for Electronic Design Automation by Machine Learning ... strategy for improving ML-based device modeling using variational autoencoder ...

According to Variational AI CEO Handol Kim, “We are thrilled to be partnering with Rakovina Therapeutics in their quest for lifesaving, cancer drugs. Variational AI is at the forefront of ...

While effective, this approach often limits novel discoveries and still requires extensive optimization though multiple Design-Make-Test-Analyze (DMTA) cycles. "Great drugs start with great ...