Artificial Intelligence & Machine Learning

Artificial intelligence (AI), machine learning (ML), and deep learning (DL) are powering Adobe’s products and businesses. At Adobe, we use AI, ML, and DL to solve problems in content understanding (including images, videos, documents, audio, and more); recommendations and personalization; search and information retrieval; prediction and journey analysis; content segmentation, organization, editing, and generation; and more. 

Adobe Research scientists and engineers are developing the next generation of AI, ML, and DL-driven tools and features, inventing a future where Adobe enables new forms of creativity, and frees people from routine tasks, and allows enterprises to understand and act quickly on customer and business insights. Our team also leverages new approaches such as GANs (generative adversarial networks).    

Meet some of our researchersView More

Long Mai

Research Scientist

Nathan Carr

Senior Principal Scientist, Director

Manoj Ghuhan

Research Associate

View our latest publicationsView More

Learning Colour Representations of Search Queries

Maheshwari, P., Ghuhan, M., Vinay, V. (Jul. 25, 2020)

43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020)

Neural Subdivision

Liu, H., Kim, V., Chaudhuri, S., Aigerman, N., Jacobson, A. (Jul. 19, 2020)

SIGGRAPH

Batch Decorrelation for Active Metric Learning

Priyadarshini, K., Chaudhuri, S., Chaudhuri, S. (Jul. 11, 2020)

IJCAI-PRICAI

Image Forensics Using AI

Using AI, Adobe researchers and collaborators from UC Berkeley have developed a method for detecting edits to images that were made with Photoshop’s Face Aware Liquify feature. While still in its early stages, this project is a step forward in image forensics, the science of uncovering and analyzing changes to digital images.

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Join us!

We are looking for researchers, engineers, and interns to take our technologies to the next level. We're recruiting, and we would love to hear from you!