Intelligent Agents & Assistants

Adobe Research is developing intelligent agents and assistants to help Adobe’s customers with a wide range of tasks. Enterprise-focused agents offer a promising way to empower marketers to offer engaging customer experiences, educate people about products, and communicate timely offers. Natural language-enabled creative assistants could enable new users to become familiar with digital tools, teach valuable skills, and handle routine work. Agents and assistants may be voice or gesture driven, with awareness of content and context. 

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Jonathan Brandt

Fellow, Director of the Media Intelligence Lab

Atanu R Sinha

Principal Scientist

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Medical Question Understanding and Answering with Knowledge Grounding and Semantic Self-Supervision

Mrini, K., Singh, H., Dernoncourt, F., Yoon, D., Bui, T., Chang, W., Farcas, E., Nakashole, N. (Oct. 17, 2022)


CAISE: Conversational Agent for Image Search and Editing

Kim, H., Kim, D., Yoon, D., Dernoncourt, F., Bui, T., Bansal, M. (Feb. 28, 2022)

AAAI 2022

A Framework for Knowledge-Derived Query Suggestions

Rezayi, S., Lipka, N., Vinay, V., Rossi, R., Dernoncourt, F., King, T., Li, S. (Dec. 17, 2021)

2021 IEEE International Conference on Big Data

Project Journey Genius

Presented by researcher Fan Du, Project Journey Genius enables marketers to explore the history and potential future of customers’ journeys, with a goal of creating intervention plans for achieving a better outcome. This experimental assistive tool could help marketers predict which customers will experience bottlenecks, and provide support ahead of time.

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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!