NEWS IN BRIEF: AI/ML FRESH UPDATES

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Accelerating Generative AI with Amazon SageMaker Ground Truth

Krikey AI leverages Amazon SageMaker Ground Truth to efficiently label vast amounts of data for their innovative 3D animation platform, democratizing AI animation creation. This partnership enables Krikey AI to quickly obtain high-quality labels tailored to their needs, accelerating the development of their text-to-animation model.

Unlocking the Brain: CLIP and LLaVA

Recent multimodal transformer networks like CLIP and LLaVA are compared to the brain in terms of attention. Vision transformers perform pre-attentive visual processing similar to the brain, but struggle with complex tasks. The brain's bidirectional activity allows for conscious top-down attention and automatic feedback, enhancing perception and cognition.

Emotional AI: The Pitfalls of 80% Anger, 2% Sadness

Hume, a Manhattan-based startup, has developed the world's first voice AI with emotional intelligence, raising concerns over potential misuse and bias in the field of AI that reads feelings. Testing the limits of this technology involves expressing emotions like love through text, highlighting the potential dangers of emotional AI.

AI Pioneer Sutskever Aims for Superintelligence

Former OpenAI Chief Scientist Ilya Sutskever launches Safe Superintelligence, Inc. (SSI) to develop advanced AI surpassing human intelligence. Sutskever aims for revolutionary breakthroughs with a small team including former OpenAI members and an AI investor from Apple.

Mastering EDA: 11 Essential Steps

Summary: Communicate with stakeholders to set analysis goals, align expectations, and develop research questions for effective exploratory data analysis. Identify knowns and unknowns to build a strong foundation for your analysis process.

The Atomic Human: A Terminator Returns

AI expert Neil Lawrence's new book, The Atomic Human, delves into AI myths, including Terminator references. The study challenges techbro arrogance, contrasting biblical creation with AI consciousness.

Master Regression with LightGBM

The article "Regression Using LightGBM" in Microsoft Visual Studio Magazine explores using LightGBM for regression tasks. LightGBM, an open-source tree-based system introduced in 2017, can handle multi-class classification, binary classification, regression, and ranking.