NEWS IN BRIEF: AI/ML FRESH UPDATES

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COBOL Modernization: Real World Insights

AI is accelerating COBOL modernization, but success requires complete context and platform-aware input for forward engineering. Mainframe modernization hinges on reverse engineering and a traceable foundation for AI coding assistants.

Protecting Original Journalism from AI

UK media companies, including BBC and Financial Times, seek global frameworks to protect journalism from unauthorized use by AI firms. Guardian-led coalition aims to ensure fair compensation for original content to ensure industry sustainability.

Teaching AI: Fine-tuning Amazon Nova with Feedback

Foundation models excel at general tasks, but customizing models with business knowledge is crucial. Amazon introduces reinforcement fine-tuning for Nova models, shifting from imitation to evaluation learning paradigm, offering tailored solutions for code generation and math reasoning.

Building Decision Tree Regression in C#

Learn about Decision Tree Regression implemented from scratch using C# without pointers or recursion in Visual Studio Magazine. Decision trees offer interpretability and can be used alone or in ensembles for regression tasks.

Boosting LLM Training Efficiency

MIT researchers developed a method to accelerate training of large language models by using idle processors. By training a smaller model to predict outputs of a larger model, they doubled training speed without sacrificing accuracy.

Nvidia Thrives in Data Center Boom, Defying AI Bubble Fears

Nvidia continues to exceed Wall Street's expectations with higher than expected revenues from its data center business, driven by AI infrastructure investments. The chipmaker's dominance in the market is highlighted by its 75% year-over-year growth and staggering $120bn total profit for the fiscal year.

AI Missteps: Meta's Tips Under Fire

Meta's AI moderation software inundates US ICAC taskforce with low-quality reports, hindering child abuse investigations. New Mexico lawsuit alleges Meta prioritizes profits over child safety, while company defends changes made to platform protections.

Unlocking the Secrets of Cell Biology with AI

Researchers at the Broad Institute of MIT and Harvard and ETH Zurich/Paul Scherrer Institute developed an AI framework that analyzes cell data from different measurements to provide a holistic view, aiding in understanding diseases like cancer and Alzheimer's. Lead author Xinyi Zhang emphasizes the importance of combining multiple measurement modalities to gain a fuller picture of a cell's stat...