Machine learning and artificial intelligence have come a long way since the early days of AI research. This video explores some of the key innovations that propelled AI forward, like neural networks, deep learning, and open source platforms.
We start by looking at how neural networks aim to mimic the human brain. See how researchers like Bernard Widrow and Marcian Hoff developed early neural net models like MADALINE and ADALINE in the 1950s and 60s.
Learn how research stalled due to limitations with single layer networks, but then made a comeback in the 1980s thanks to pioneers like John Hopfield and David Rumelhart. Their work on multilayer and backpropagation networks paved the way for deep learning.
The video then covers the AI "renaissance" of the 2010s, highlighting breakthroughs like AlexNet for image recognition, LSTM networks for sequential data, AlphaGo's triumph in Go, and more. Companies like Google, Facebook, Tesla and Boston Dynamics pushed AI to new heights during this period.
Finally, we explore how open source platforms like TensorFlow and PyTorch made deep learning more accessible. This democratization of AI tools and resources has unleashed a new wave of innovation.
The video provides a high-level overview of key milestones in AI and machine learning. Don't miss out on the full story - watch now to connect the dots between neural networks, deep learning, and today's AI capabilities.
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**The Road To AGI Documentary Series**
Part 1: The Birth of AI - 30th August 2023 👉 [ Ссылка ]
Part 2: The AI Winter - 5th September 2023 👉 [ Ссылка ]
Part 3: The Emergence & Machine Learning - 14th September 2023 👉 [ Ссылка ]
Part 4: The Deep Learning Revolution - 20th September 2023
Part 5: The Birth of Baby AGI - 27th September 2023
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