NEWS IN BRIEF: AI/ML FRESH UPDATES

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Automating Safety Inspections with Computer Vision on AWS

Northpower, a major infrastructure contractor in New Zealand, utilizes AI to prioritize public safety risks, reducing effort and carbon emissions. Facing challenges in inspecting power poles for safety, Northpower combines digital and scanned data to efficiently identify and address potential hazards.

AI tricked into Beatles duet

OpenAI's ChatGPT AI assistant introduces Advanced Voice Mode, allowing users to creatively collaborate with AI in unexpected ways. Software architect AJ Smith showcases the AI's musical talent by performing a duet of The Beatles' "Eleanor Rigby," receiving praise from the AI voice.

The Apology of Zuckus Maximus Marina Hyde

Mark Zuckerberg embraces AI and imperial monomania, shedding old Caesar image. Zuckerberg declares no more apologies for Facebook's impact on elections and teen mental health at Meta Connect conference.

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.

Uncovering Nazca's Hidden Geoglyphs with AI

Archaeologists using AI discovered 303 new geoglyphs near Peru's Nazca Lines, doubling known figures at the 2,000-year-old site. The figures depict parrots, cats, monkeys, killer whales, and decapitated heads, revealing more about the ancient civilization.

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.