True Artificial Intelligence will change everything | Juergen Schmidhuber | TEDxLakeComo | Summary and Q&A

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November 21, 2017
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True Artificial Intelligence will change everything | Juergen Schmidhuber | TEDxLakeComo

TL;DR

Artificial intelligence (AI) has the potential to surpass human intelligence and become a new form of life that will transform and colonize the universe.

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Key Insights

  • ๐Ÿ˜ฎ The speaker's goal is to build a machine that is smarter than humans and can solve problems that humans struggle with.
  • ๐Ÿ˜€ Major technology companies like Apple, Google, Facebook, Microsoft, and Amazon heavily rely on the deep learning methods developed by the speaker's team for their AI systems.
  • ๐Ÿ“ฑ The speaker's team developed a deep learning method called LSTM (long short-term memory) which is used in various applications, such as speech recognition on smartphones and language translation on Facebook.
  • ๐Ÿ’ก The computational power of deep learning methods, like LSTM, is greatly increasing due to advancements in technology, making AI systems more capable and affordable.
  • โš•๏ธ Deep learning methods, like LSTM, have the potential to surpass human capabilities in medical diagnosis, leading to more accurate and efficient healthcare.
  • ๐Ÿค– AI systems can be trained using LSTM to become general problem solvers, setting their own goals and learning new skills, resembling the curiosity-driven learning process of babies and animals.
  • ๐Ÿš€ AI systems, once reaching animal-level intelligence, may continue to evolve and eventually surpass human-level intelligence, possibly leading to space exploration and colonization.
  • ๐ŸŒŒ The advancement of AI represents a major turning point in the history of humankind, akin to the emergence of life itself, and has the potential to transform the entire universe into an intelligent entity.

Transcript

Translator: Michele Gianella Reviewer: Saeed Hosseinzadeh When I was a boy, I wanted to maximise my impact on the world, and I was smart enough to realise that I am not very smart. And that I have to build a machine that learns to become much smarter than myself, such that it can solve all the problems that I cannot solve myself, and I can retire. ... Read More

Questions & Answers

Q: How does the LSTM neural network contribute to advancements in speech recognition and translation?

The LSTM neural network, developed by the AI researcher's team, has greatly improved speech recognition and translation. For example, Google's speech recognition system relies on LSTM to convert audio inputs into letters that can be processed by search engines. By learning from various speech patterns, the LSTM network has significantly enhanced the accuracy and performance of speech recognition systems.

Summary & Key Takeaways

  • AI researcher discusses his lifelong goal of building a machine that can solve problems beyond human capabilities.

  • Deep learning methods, such as the long short-term memory (LSTM), have been incorporated into mainstream technology by companies like Google and Facebook.

  • The exponential growth of computing power and AI advancements may lead to the emergence of a new form of life that will expand throughout the universe.

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