NEWS IN BRIEF: AI/ML FRESH UPDATES

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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.

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.

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.

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.

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.

Cracking the Code: AI Chatbot Trustworthiness

AI-generated summaries by Google and Microsoft are being used in search engines, but the accuracy and authority of the information are questioned. The debate over the carcinogenic properties of aspartame highlights the potential pitfalls of relying on AI for contentious topics.