Research

Researching and developing AI to create breakthrough technologies for our company, our customers, and the world.

Research Areas

Our research includes AI for Society, AI for Enterprise, and Fundamental AI research

AI for society =
AI for enterprise =
Science

Accelerating science for biology, medicine, and sustainability using AI

Economics

Improving equality, social welfare, and economic trade-offs using AI and data-driven simulations

Environment

Reducing harm to the environment and gaining a better understanding of our world

Conversational AI

Advancing how technology interacts with people in a humanlike way

Natural Language Processing

NLP tasks such as classification, summarization, translation, and generation

Multimodal Data Intelligence

Understanding content and generating personalized insights using various data types

AI for Operations

Building systems to improve operational efficiency

Software Intelligence

Improving productivity and enhancing software quality

Fundamental AI

Representation, reinforcement, and multitask learning, and human-in-the-loop

The AI Economist: An open source framework for economic policy design.

The AI Economist is an AI framework from the Salesforce Research team, developed to study how to improve economic design using AI with the goal of optimizing productivity and social equality for everyone. It is designed to simulate millions of years of economies – in parallel – to help economists, governments and others design tax policies that optimize social outcomes in the real world.

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Publications and Blogs

We actively publish academic research and findings at top NLP and Computer Vision conferences

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We regularly post accessible research summaries, news, events, and behind-the-scenes content.

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Dive into our latest research publications.

We publish papers to share ideas and learn from.

publication
Bridging Textual and Tabular Data for Cross-Domain Text-to-SQL Semantic Parsing
read on arxiv
publication
Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization
read on arxiv
publication
CTRLsum: Towards Generic Controllable Text Summarization
read on arxiv
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