NEWS IN BRIEF: AI/ML FRESH UPDATES

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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.

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.

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.

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.

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.