NEWS IN BRIEF: AI/ML FRESH UPDATES

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Zalando's SageMaker Success Story

Zalando tackles markdown pricing challenges with algorithmic solutions for optimal discounts and profit maximization. Forecast-then-optimize approach uses past data to determine item-level demand and stock levels, enhancing training sets for accurate discount-dependent forecasts.

Unraveling Gene Relationships: A Causal Theory

MIT researchers have developed a method to efficiently group genes together using only observational data, enabling the discovery of underlying cause-and-effect relationships. This technique could lead to more precise treatments for diseases by identifying potential gene targets in a more accurate and cost-effective manner.

Revolutionizing Creative Workflows with Stability AI

Generative AI by Stability AI is transforming visual content creation for media, advertising, and entertainment industries. Amazon Bedrock's new models offer improved text-to-image capabilities, enhancing creativity and efficiency in marketing and storytelling.

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.

Unleash Your Creativity: Using Generative AI in Obsidian

AI enthusiasts are integrating large language models into productivity workflows using applications like Obsidian and plug-ins like Text Generator and Smart Connections. By connecting Obsidian to LM Studio, users can generate notes with a 27B-parameter LLM accelerated by RTX for optimized web browsing and complex project management.

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...

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.