NEWS IN BRIEF: AI/ML FRESH UPDATES

Get your daily dose of global tech news and stay ahead in the industry! Read more about AI trends and breakthroughs from around the world

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.

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.

Revolutionizing Contracts with GraphRAG

Summary: Introducing a new GraphRAG approach for efficient commercial contract data extraction and Q&A agent building. Focus on targeted information extraction and knowledge graph organization enhances accuracy and performance, making it suitable for handling complex legal questions.

AI Translating Dutch Books to English

VBK, the largest Dutch publisher, to trial AI for translating books into English, acquired by Simon & Schuster. AI to assist in translation of commercial fiction, Vanessa van Hofwegen confirms.

Unleashing the Power of Dynamic Execution

Dynamic execution in AI tasks can optimize performance by distinguishing between Hard and Easy problems. By identifying and addressing the complexity of data points, accuracy can be maintained while saving computational resources.

Streamlining AI Models

AI models, like LLaMA 3.1, require large GPU memory, hindering accessibility on consumer devices. Research on quantization offers a solution to reduce model size and enable local AI model running.