Biomedical Foundation Models
Exploring the power of BMFM technologies to drive critical tasks in drug discovery
Exploring the power of BMFM technologies to drive critical tasks in drug discovery
Securing AI models with the Adversarial Robustness Toolbox
Training language models to better follow user intentions and make them more truthful
Using large language models to support some of the world’s most prestigious sports and entertainment events
A synthetic data generation service that enables secure and responsible analysis of privacy-sensitive data
Building a unified Digital Labor platform with conversation, orchestration, and training capabilities.
Using fully homomorphic encryption for artificial intelligence
A library that provides high-speed training of popular machine learning models on modern CPU/GPU computing systems.
Making Deep Neural Network systems more capable and energy-efficient.
Self-sovereign identity as an important enabler of civilian and enterprise identity use-cases
Leveraging AI foundation models and multi-cloud computing to usher in a new era of reproducible and collaborative experimentation for scientific discovery.