NEWS IN BRIEF: AI/ML FRESH UPDATES

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1 Million AI Models Unleashed on Hugging Face

AI hosting platform Hugging Face hits 1 million AI model listings, offering customization for specialized tasks. CEO Delangue emphasizes the importance of tailored models for individual use-cases, highlighting the platform's versatility.

Secure Amazon S3 Access for SageMaker Studio

Amazon SageMaker Studio offers a unified interface for data scientists, ML engineers, and developers to build, train, and monitor ML models using Amazon S3 data. S3 Access Grants streamline data access management without the need for frequent IAM role updates, providing granular permissions at bucket, prefix, or object levels.

Secure Cloud Computation: Defending Data from Attackers

MIT researchers have developed a quantum-based security protocol for cloud-based deep-learning models, ensuring data privacy without compromising accuracy. The protocol utilizes the no-cloning principle of quantum mechanics to prevent attackers from intercepting information, maintaining 96 percent accuracy in tests.

Mastering Logistic Regression in C#

Article: "Logistic Regression with Batch SGD Training and Weight Decay Using C#". It explains how logistic regression is easy to implement, works well with small and large datasets, and provides highly interpretable results. The demo program uses stochastic gradient descent with batch training and weight decay for accurate predictions.

AI Art Museum Unleashes Machine Creativity in LA

AI artist Refik Anadol plans Dataland, the first AI art museum in LA, promoting 'ethical AI' and renewable energy. Dataland will showcase the fusion of human creativity and machine potential, set to open in 2025 next to prestigious cultural venues.