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The AI Legends #75 Days Day 31: Jürgen Schmidhuber Jürgen Schmidhuber is best known for his pioneering work in the development of neural networks, particularly the Long Short-Term Memory (LSTM) networks. History: Jürgen Schmidhuber was born on 1963.He studied computer science and physics at the Technical University of Munich (TUM), where he earned his diploma. Contributions: • Schmidhuber has also made notable advancements in the field of deep learning. His research at IDSIA led to the development of deep neural networks that have achieved state-of-the-art results •Another significant contribution of Schmidhuber is his work on generative models and reinforcement learning. Key points: Jürgen Schmidhuber’s story is a compelling source of motivation for anyone interested in the field of AI and technology. His journey demonstrates the power of curiosity, dedication, and perseverance in achieving groundbreaking advancements..
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The AI Legends #75 Days Day 7: Frank Rosenblatt Rosenblatt is best known for his work in developing the perceptron, an early form of artificial neural network. History: Frank Rosenblatt was an American psychologist born on July 11, 1928, in New York
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The AI Legends #75 Days Day 11: Yoshua Bengio Bengio is known for his pioneering work in artificial intelligence (AI) and deep learning. History: Yoshua Bengio is a Canadian computer scientist born on March 5, 1964, in Paris, France. He is a profes
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The AI Legends #75 Days Day 10: Yann LeCun LeCun is known for his pioneering work in artificial intelligence (AI) and deep learning, particularly in the field of convolutional neural networks (CNNs). History: Yann LeCun is a French computer scienti
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The AI Legends #75 Days Day 3 : Marvin Minsky Marvin Minsky co-founded one of early MIT AI Labs. History: Born on August 9,1927 in New York City. Studied Mathmatics at Harvard University,where later earned his P.h.D. in mathematics in 1954 . Contri
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The AI Legends #75 Days Day 13: John Hopfield He developed the Hopfield network, a type of recurrent neural network that is capable of associative memory and optimization. History: John Hopfield is an American physicist and neuroscientist born on
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The AI Legends #75 Days Day 14: David Rumelhart Co-authored the influential book "Parallel Distributed Processing," which outlined a new approach to understanding the workings of the human mind using neural network models. History: David Rumelhart
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🤖 OnlyFans subscribers are chatting with neural networks instead of models 🥰 😨 Some creators embed chatbots into personal conversations. These bots are specially designed to mimic the behavior of a model and can engage 24/7. Moreover, they subt
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❗important for them who are into semiconductors❗ ➤Global AI Semiconductor Market:📈 (Image 1) "Projected to reach $190 billion by 2030, this market growth is fueled by increasing demand for edge AI processing, advancements in deep learning and neu
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🚀 Calling all Software Engineers! Here's how to upgrade for the AI era😶: -1. Learn AI Fundamentals: Understand ML, neural networks, and deep learning. -2. Specialize: Focus on NLP, computer vision, or reinforcement learning. -3. Practice: Build AI
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