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UTMIST’s newsletter, deMISTify, provides the latest detailed news relating to research and industry developments in the field of machine learning. Comprised of articles written by the department of technical writing, the aim of deMISTify is to spread awareness and understanding about new advances in machine learning by explaining difficult concepts in layman’s terms that anyone can understand. We do so through a bi-monthly newsletter comprised of content from our Medium publication sent to over 1700 subscribers. Our ultimate goal is the widespread education regarding advances in machine learning and its cross-disciplinary fields to those with or without backgrounds in computer science.


deMISTify

2022-2023 Newsletters

Nov 14th | Issue 18

nov-14

What this newsletter covers:

1. Make-A-Video - Video Generation from Text by Shirley Wang

2. Reinforcement Learning for Full-Body Tracking in VR by Charles Yuan

3. The Rise of Facial Recognition Technology by Jennifer Zhang


Oct 31st | Issue 17

oct-31

What this newsletter covers:

1. Improvement in Blind Image Quality Assessment by Zoey Zhang

2. Analyzing “Secret” Algorithms by Armita Khashayardoost

3. Advancing Math with Machine Learning by Ellina Zhang


Oct 10th | Issue 16

oct-10

What this newsletter covers:

1. AI and the Future of Courtrooms by Armita Khashayardoost

2. Phrase-Based Unsupervised Machine Translation by Ellina Zhang

3. Home is Not a Place, But a Feeling by Zoey Zhang


Sept 26th | Issue 15

sept-26

What this newsletter covers:

1. A Brief Overview of Diffusion Models and DALL-E 2 by Shirley Wang

2. Leveraging Federated Learning for Medical Imaging by Dev Shah

3. Machine Learning: A Way of Treating Cancer? by Jennifer Zhang

4. AI Could Soon Learn Languages Better Than You by Pratibha Thakur


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