None of these people are real.
They can be totally customized to your specifications.
Bloom AI's proprietary generative modeling networks can imagine photorealistic people in any pose, expression, body type, and more - all designed to look like they were taken by a human photographer.
This is orchestrated by a series of neural networks working together to generate photos.
Used in self-driving cars, robotics, and beating humans at Go, deep reinforcement learning explores actions and scenarios, searching over space optimally.
This enables Bloom to optimally search through the output of generative models.
Neural networks can now outperform humans' ability to label images in tasks ranging from age prediction to facial recognition.
AI entrepreneur, software engineer, automated $12m of ad spend, Yale computer science
Former head of growth at Planned.com, led $5MM investment, grew team to 46
AI author published by O'Reilly, Princeton computer science, AI entrepreneur
Princeton history grad, thesis on the intersection of data science, historical archives, and the political economy of coffee
Studied sculpture at RISD, artist, founder Cha Cha Studios
Serial entrepreneur, author, speaker