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Research

The latest thinking in applied AI and advanced automation from UiPath experts

Featured: the very latest thinking from our research teams

ARTICLE
October 24, 2024

DocPath update: Information extraction for semi-structured documents

Explore our methodology and findings on its performance under real-world workloads.

ARTICLE
October 1, 2024

Latte: Latent Attention for Linear Time Transformers

Transformers are a very popular, but resource-intensive architecture for AI systems. UiPath Research introduces Latte, an alternative approach achieving strong performance while being more efficient during training and inference.

ARTICLE
June 26, 2024

DocPath: A large language model for information extraction from documents

Learn how this groundbreaking specialized LLM practically eliminates model training for document processing.

Research projects

AI agents

AI agents are revolutionizing human-computer interaction. These AI-model-based entities are able to work independently and on behalf of people, performing complex tasks, retrieving and processing data, and delivering intelligent assistance across various domains.

Intelligent document processing

Intelligent Document Processing (IDP) leverages AI to automate the processing of various document types. IDP streamlines how organizations process invoices, contracts, forms, and other document-intensive workflows.

Computer use/UI agents

Computer use/UI agents are transforming how users interact with digital systems. These interface-driven agents act on behalf of users to navigate applications, automate workflows, and streamline computer tasks through intuitive, human-like interactions.

UiPath Autopilot

UiPath Autopilot is a set of AI-powered experiences across the UiPath Platform™ that make every user, from developers to business users, more productive.

Computer vision

Computer vision enables machines to interpret and understand visual information from the world around them. By mimicking human visual perception, computer vision systems can analyze images and videos and make decisions based on visual data.

AI governance

AI governance ensures AI systems are developed and deployed responsibly, ethically, and safely. For organizations, this means deploying robust processes, standards, and guardrails to mitigate risks while maximizing AI's potential.

Research team