NEWS IN BRIEF: AI/ML FRESH UPDATES

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Decoding Spatially Variable Genes

Spatially resolved transcriptomics (SRT) is transforming genomics by mapping gene expression to precise tissue locations. A recent Nature Communications review by Guanao Yan classifies spatially variable genes (SVGs) into three categories, aiding in the understanding of tissue organization and cellular interactions.

Rocket Companies' AWS Data Science Transformation

Rocket Companies simplifies homeownership with AI-driven experience, offering seamless home search, financing, and servicing. Rocket modernized data science solution on AWS, reducing incident tickets by over 99% and enabling 10 million daily AI decisions.

Conda Hard Drive Disaster

Anaconda environments can take up a lot of storage space, but techniques like cache cleaning and archiving can help reclaim memory. Learn how to reduce storage footprint with these memory management tips.

Mastering Node.js APIs with LLM-Powered Boilerplates

LLM Codegen enhances Node.js API boilerplate with automatic module code generation based on text descriptions, including E2E tests and database migrations. The generated code follows vertical slicing architecture principles, ensuring clean and maintainable code with valid E2E tests.

AI-driven CR Risk Data Generation with Amazon Bedrock LLMs

Data-driven applications benefit from generative AI models like large language models (LLMs), which can create synthetic data across various media formats and business domains. ABC Bank uses advanced RAG with LLMs to assess counterparty risk in OTC derivatives, addressing challenges in data bias and model accuracy.

AI Autonomy: 27 Days of Self-Coding

27 days, 1,700+ commits, 99.9% AI-generated code: A developer's experiment with Agentic Ai tools reveals challenges and limitations in building ObjectiveScope without direct code changes. Technical constraints and integration challenges highlight the complexity of AI-driven development beyond the marketing hype.

Containerize Your Data Science Skills

Data scientists can benefit from using Containers to ensure stability and scalability of machine learning models and data pipelines. Containers are more flexible than Virtual Machines, sharing the host OS for faster, portable, and resource-efficient execution.

Journey to Becoming a Data Scientist

Data science projects now aim for production, requiring high-quality code. UV, a modern Python projects manager, simplifies dependency management, virtual environments, and project organization, claiming to be 10-100 times faster than traditional tools.