Understanding machine learning predictions by exploring the road not travelled.

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news. In this age of innovation and technology, an increasing number of.
companies are developing extremely human-like robots that will.
collaborate attentively with actual humans in the hospitality or customer.
service sectors.
Such robots have a long history dating back to the 4th century when the.
concept of a humanoid robot first appeared in many different cultures.
around the world, including Greece, China, and even Japan!#humanodrobot #bostondynamics #artificialintelligence📺Interesting fact: Smart individuals watch the full video!
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This video covers the world in 2,300 and its future technologies. Watch this next video about the world in 2200: https://bit.ly/3htaWEr.
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SOURCES:
• https://www.futuretimeline.net.
• The Future of Humanity (Michio Kaku): https://amzn.to/3Gz8ffA
• The Singularity Is Near: When Humans Transcend Biology (Ray Kurzweil): https://amzn.to/3ftOhXI
• Physics of the Future (Michio Kaku): https://amzn.to/33NP7f7
• https://science.howstuffworks.com/science-vs-myth/everyday-m…tation.htm.
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The upward spiral of artificial intelligence looks set to produce machines which are cleverer and more powerful than any humans. What happens when machines can themselves create super-intelligent machines? ‘The Singularity’ is the name science fiction writers gave to this situation. Philosopher David Chalmers discusses the philosophical implications of this very real possibility with Nigel Warburton in this episode of the Philosophy Bites podcast.
The upward spiral of artificial intelligence looks set to produce machines which are cleverer and more powerful than any humans. What happens when machines can themselves create super-intelligent machines? ‘The Singularity’ is the name science fiction writers gave to this situation. Philosopher David Chalmers discusses the philosophical implications of this very real possibility with Nigel Warburton in this episode of the Philosophy Bites podcast.
A new Artificial Intelligence from Microsoft and OpenAI utilizes advanced µ-Parametrization in order to increase performance and allow huge AI models to be trained much more easily. This means that we can soon expect AI models which beat any old ones and even humans at trillions of parameters in the future. The future of machine learning sure looks interesting.
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TIMESTAMPS:
00:00 The AI Bottleneck.
00:38 SKILLSHARE: MAKE YOUR OWN AI
02:28 How AI was made much faster.
04:37 A new Revolutionary Artificial Intelligence.
07:18 Hardcoding Machine Intelligence.
09:17 Last Words.
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#ai #deepmind #google