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Urban Information Lab at UT Austin
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May 17, 2023, Filed Under: Artificial Intelligence, Projects

ComputeGPT

ComputeGPT Logo

ComputeGPT is a computational chat model that accurately answers math and science problems. It outperforms GPT-4 with Internet (Bing), GPT-3.5 (ChatGPT), GPT-3, and Wolfram Alpha NLP, scoring 98% across a suite of numerical problems that Bing AI could only answer at 64% and Wolfram Alpha NLP at 56%. One of… read more 

April 21, 2023, Filed Under: Artificial Intelligence, Projects

OpenCityAI

OpenCityAI logo

OpenCityAI is a AI chat model trained on a massive amount of public city information, making it able to generate answers for a variety of questions that people may have about their cities. It provides accurate responses with citations in a simple easy-to-use interface. One of the focuses for this… read more 

February 25, 2023, Filed Under: News & Events

Ethical AI and Our Future – Lecture Series

Designed to create a campus-wide conversation, the Helen and Jeff Herbert Family University Lecture Series gives first-year students an opportunity to interact with leading members of our faculty—scholars, scientists, and civic leaders who are nationally and internationally renowned. All students, faculty, alumni, staff, and community guests are invited, but the… read more 

January 1, 2023, Filed Under: Digital twin, Projects

Smart City Data Integration

Open Data portals and such for cities are increasingly popular for local goverment to publish and communicate data to the public. While the dedicated interface makes it easy for data owners to upload data, it lacks comprehensive means to connect relavant data for a particular topic of interest. As datasets… read more 

December 19, 2022, Filed Under: Projects

National Housing Data Portal

Open Data portal containing housing data from realtor.com and additional city information. Users can choose to view aggregated housing data from the realtor.com residential listings database or market analysis metrics from realtor.com market hotness index. We enrich this data with US Census demographic data and geometric shp files. Users can… read more 

December 19, 2022, Filed Under: Projects

Community Hub for Smart Mobility (CHSM)

The goal of this project is to develop, implement, and evaluate a Community Hub for Smart Mobility (CHSM) to solve the job/housing mismatch in US cities. The research team will focus on Georgian Acres, a historically under-resourced neighborhood in northeast Austin, Texas and work with multiple civic partners to address… read more 

December 19, 2022, Filed Under: Deserts, Projects

Austin AI Housing Analysis

A lack of affordable housing is a major problem in US cities from the Bay Area to Boston. Austin is no exception. In 2015, the Austin-Round Rock metropolitan area was named one of the most economically segregated areas in the country. With more people moving to the region – roughly… read more 

December 19, 2022, Filed Under: Artificial Intelligence, Projects

AI Image Generation for Architecture Design

This project allows users to create unique images depicting architecture and design to assist with the idea creation process. Architects often need to create novel, never-before-seen designs for buildings, landscapes, and interiors. With so many existing buildings in the world, it can be difficult to come up with truly unique… read more 

December 16, 2022, Filed Under: News & Events

UIL Researchers @ Global Sandpit

The UKRI Trustworthy Autonomous Systems Programme is the UK’s flagship multi-disciplinary research programme that looks to address the challenge of developing best practices for the design, operation, and governance of trusted and trustworthy autonomous systems for the benefit of society. One of its goals is to establish international collaborations that… read more 

December 9, 2022, Filed Under: News & Events, Speakers

Making the most out of sparse data: the case of travel demand calibration

Urban traffic simulators are used by cities worldwide to inform their transportation planning and operations. We discuss the main challenges in the calibration of inputs for stochastic microscopic urban traffic simulators. In particular, we focus on the calibration of travel demand or origin-destination matrices (ODs). The problem is underdetermined, we… read more 

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