NEWS IN BRIEF: AI/ML FRESH UPDATES

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Deepfake Scam Targets US Senator

FBI probes AI deepfake impersonating Dmytro Kuleba questioning Ben Cardin in suspected election interference attempt. Senator Cardin raises suspicions during Zoom call with imposter posing as Ukraine's former foreign minister.

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.

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.

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.

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.

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.

AI Turbocharges Data Science Workflows

NVIDIA's RAPIDS cuDF library accelerates pandas by up to 100x on RTX hardware, improving data processing speed for data scientists. Data scientists can now use their preferred code base without sacrificing efficiency, thanks to RAPIDS cuDF's GPU-accelerated Python libraries.