NEWS IN BRIEF: AI/ML FRESH UPDATES

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Harnessing the Power of HOG in Computer Vision

Histogram of Oriented Gradients (HOG) is a key feature extraction algorithm for object detection and recognition tasks, utilizing gradient magnitude and orientation to create meaningful histograms. The HOG algorithm involves calculating gradient images, creating histograms of gradients, and normalizing to reduce lighting variations.

Digitalizing Everyday Objects with Portable Light

Researchers from MIT, UC Berkeley, and Aarhus University develop "PortaChrome," a portable light system that can change the color and texture of everyday objects, allowing users to display health stats, entertainment, and fashion designs with reprogrammable surfaces. This innovation uses UV and RGB LEDs to quickly alter objects' colors, making it more convenient and environmentally friendly tha...

Gov.UK's AI Chatbot: A Mixed Bag for Business Users

Government launches GPT-4o chatbot to assist with regulations on Gov.UK website, warns of potential 'hallucination' issue. Users can expect varied results as the AI technology undergoes testing by 15,000 businesses before wider release.

Boosting Regression with k-NN Weak Learners

Implementing AdaBoost regression from scratch using k-nearest neighbors instead of decision trees, following the AdaBoost. R2 algorithm. The author delves into the intricacies of the weighted median, contributing a new approach to AdaBoost regression.

Unveiling the Roots of Systemic Racism

W. E. B. Du Bois' legacy on systemic racism research at MIT continues with the ICSR Data Hub, providing vital criminal justice datasets for analysis and solutions. Computational technologies uncover racial bias in American society, offering hope for a more equitable future.