The New Science of Digital Transformation

The Digital Transformation Institute is a research consortium dedicated to accelerating the benefits of artificial intelligence for business, government, and society.

The institute engages the world’s leading scientists to conduct research and train practitioners in the Science of Digital Transformation, which operates at the intersection of artificial intelligence, machine learning, cloud computing, internet of things, big data analytics, organizational behavior, public policy, and ethics.

Established in March 2020, the DTI consortium consists of C3 AI, Microsoft Corporation, University of Illinois Urbana-Champaign, University of California, Berkeley, Carnegie Mellon University, KTH Royal Institute of Technology, Lawrence Berkeley National Laboratory, Massachusetts Institute of Technology, National Center for Supercomputing Applications, Princeton University, Stanford University, and University of Chicago. The Institute is jointly managed and hosted by University of California, Berkeley and University of Illinois Urbana-Champaign.


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Glaze 2: new version of anti-AI scraping tool for artists launches
April 15, 2024 | Back in February 2023, a small team of researchers at the University of Chicago studying under computer science professor Ben Zhao released Glaze, a free software tool that uses machine learning to subtly alter the pixels of artwork. Now, more than a year later, the University of Chicago Glaze Project team is back with a new version.
Is robotics about to have its own ChatGPT moment?
April 11, 2024 | In a story about robotics for home use, MIT Technology Review talks to DTI PI Sergey Levine of UC Berkeley about working with Google DeepMind on a ‘robot internet’ to give researchers access to bigger, more scalable, and more diverse data sets. (Photo: Peter Black)
Greener extraction method for valuable metals
March 29, 2024 | A new method safely extracts valuable metals locked up in discarded electronics and low-grade ore using dramatically less energy and fewer chemical materials than current methods, according to a new paper by DTI PI Xiao Su and team at the University of Illinois Urbana-Champaign. (Photo: Fred Zwicky)
Protecting power grid from renewables’ fluctuations
February 28, 2024 | DTI energy research led by Principal Investigator Qianwen Xu of the KTH Royal Institute of Technology in Stockholm, Sweden, has resulted in the development of AI algorithms to prevent power grid failure when electrification is increasingly supplied by variable sources like solar and wind.
Obermeyer testifies to Senate committee on AI in healthcare
February 14, 2024 | On February 8, DTI Co-PI Ziad Obermeyer, Blue Cross Distinguished Associate Professor of Health Policy and Management at Berkeley Public Health, warned the U.S. Senate Finance Committee about some of AI’s potential hazards within healthcare, and offered ways to ensure that AI systems are safe, unbiased, and useful.
The new car batteries that could power the EV revolution
February 07, 2024 | “Lithium-ion is a formidable competitor… The biggest challenges are resource-related,” says Gerbrand Ceder, who calculates that the projected 14 TWh needed for cars by 2050 will require 14 million tonnes of total metal.

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