An Emerging Era: Conformable Ultrasound Electronics
Translating Spatial RNA Atlas to Tissue Function and Dysfunction
3D Genome Structure and Function in Health and Disease
Protein Design with Generative AI
Technology and Inequality in the Age of AI
Generative models can now produce realistic and diverse synthetic data in many domains. This makes them a viable choice as a data source for training downstream AI systems. Unlike real data, synthetic data can be steered and optimized via interventions in the generative process. I will share my view on how this makes synthetic data act like data++, data with additional capabilities. I will discuss the advantages and disadvantages of this setting, and show several applications toward problems in computer vision and robotics.Â
AI for Chemistry and Materials: Are We There Yet?