Incremental Machine Learning for Extreme Scale Computing
AutoML for incremental machine learning algorithms for big time-series data.
AutoML for incremental machine learning algorithms for big time-series data.
Helping researchers build and run virtual versions of real-world experiments in the cloud.
Developing AI and analytics to understand the drivers of study or clinical trial efficiency.
We're developing technological solutions to assist subject matter experts with their scientific workflows by enabling the Human-AI co-creation process.
Building reusable, composable, and shareable huntflows across different data sources and threat intel.
Developing a general knowledge representation framework to facilitate effective reasoning over multiple sources of imprecise knowledge.
Performing pattern recognition and solving complex optimization problems with coupled oscillator networks.
A tale of adversarial attacks & out-of-distribution detection stories in the activation space