NEWS IN BRIEF: AI/ML FRESH UPDATES

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Navigating Uncertainty: A Bayesian Approach

Tamara Broderick, MIT faculty member, uses Bayesian inference to quantify uncertainty in data analysis techniques. Collaborating across fields, she helps develop tools like a machine-learning model for ocean currents and a tool for motor-impaired individuals.

Mastering PCA with SVD in C#

Discover the power of Principal Component Analysis (PCA) using Singular Value Decomposition (SVD) in C#. Transform datasets for visualization or prediction with just nine data items. PCA is a key technique for reducing dimensions and analyzing data, with applications in machine learning and anomaly detection.

News Outlets Sue OpenAI for Copyright Infringement

US news outlets sue OpenAI and Microsoft for allegedly using journalists' work to train ChatGPT. The Intercept, Raw Story, and AlterNet demand compensation for copyright infringement, claiming AI tool ignores attribution and uses protected content.

Future of Work: MIT's Vision for a More Equitable Economy

MIT's Shaping the Future of Work Initiative, led by Acemoglu, Autor, and Johnson, aims to analyze job quality erosion for non-college workers and propose equitable solutions. The trio plans to conduct groundbreaking research, develop pro-worker policies, and inspire young researchers to explore these critical issues.