David Nelson - What is the AI Black Box? In simple terms, the black box problem in AI refers to the inability to fully understand or explain the internal decision-making process of complex algorithms. Deep learning models, particularly neural networks, are known for their ability to process massive amounts of data and deliver accurate predictions or classifications. However, their internal workings are often so intricate that even experts struggle to explain how they arrive at specific conclusions.
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Nobel Prize in Chemistry Awarded for AI Breakthrough in Protein Research
AI World Journal - DeepMind: AI at the Cutting Edge of Science The success of AlphaFold is only one example of DeepMind’s wide-ranging impact on science and technology. Founded in 2010 by Demis Hassabis, Mustafa Suleyman, and Shane Legg, DeepMind has become one of the world’s leading AI research labs, renowned for its groundbreaking work in deep learning, neural networks, and reinforcement learning. Acquired by Google (now Alphabet Inc.) in 2015, DeepMind operates with a mission to "solve intelligence" and use it to advance knowledge in ways that benefit humanity.