NEWS IN BRIEF: AI/ML FRESH UPDATES

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Decoding Text: The Power of Tokenization for AI

Tokenization is crucial in NLP to bridge human language and machine understanding, enabling computers to process text effectively. Large language models like ChatGPT and Claude use tokenization to convert text into numerical representations for meaningful outputs.

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.

AI vs. Art Critic: The Unreplaceable Eye

The AI version of Brian Sewell's review lacks his authentic voice, disappointing readers. Sewell's posh voice and unique style are sorely missed in the London Standard's attempt to recreate his writing.

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.

Embracing the Circular Fashion Economy

Fashion retailer explores circular rental model using data analytics to reduce environmental footprint and improve resource efficiency. Data scientist assesses operational challenges and metrics crucial for transitioning to a circular economy, aiding sustainability and logistics teams in building a solid business case for top management approval.