IBM is teaching AI to behave more like the human brain

Can a machine make memories? How IBM is exploring neural network learning in #AI:  @engadget

  • Deep learning neural networks — the likes of which power AlphaGo as well as the current generation of image recognition and language translation systems — are the best machine learning systems we’ve developed to date.
  • While neurons use their various connections with each other to recognize patterns, “We are explicitly forcing the network to discover the relationships that exist” between pairs of objects in a given scenario, Timothy Lillicrap, a computer scientist at DeepMind told Science Magazine.When subsequently tasked in June with answering complex questions…
  • In a pair of research papers presented at the 2017 International Joint Conference on Artificial Intelligence held in Melbourne, Australia last week, IBM submitted two studies: one looking into how to grant AI an “attention span”, the other examining how to apply the biological process of neurogenesis — that is,…
  • It’s the same way that your doctor doesn’t tap your knees with that weird little hammer thing when you come in complaining of chest pain and shortness of breath.While the attention system is handy for ensuring that the network stays on task, IBM’s work into neural plasticity (how well memories…
  • Basically the attention model will cover the short term, active, thought process while the memory portion will enable the network to streamline its function depending on the current situation.But don’t expect to see AIs rivalling the depth of human consciousness anytime soon, Rish warns.

Since the days of Da Vinci’s “Ornithoper”, mankind’s greatest minds have sought inspiration from the natural world for their technological creations. It’s no di…
Continue reading “IBM is teaching AI to behave more like the human brain”

IBM is teaching AI to behave more like the human brain

Can a machine make memories? How IBM is exploring neural network learning in #AI:  @engadget

  • Deep learning neural networks — the likes of which power AlphaGo as well as the current generation of image recognition and language translation systems — are the best machine learning systems we’ve developed to date.
  • While neurons use their various connections with each other to recognize patterns, “We are explicitly forcing the network to discover the relationships that exist” between pairs of objects in a given scenario, Timothy Lillicrap, a computer scientist at DeepMind told Science Magazine.When subsequently tasked in June with answering complex questions…
  • In a pair of research papers presented at the 2017 International Joint Conference on Artificial Intelligence held in Melbourne, Australia last week, IBM submitted two studies: one looking into how to grant AI an “attention span”, the other examining how to apply the biological process of neurogenesis — that is,…
  • It’s the same way that your doctor doesn’t tap your knees with that weird little hammer thing when you come in complaining of chest pain and shortness of breath.While the attention system is handy for ensuring that the network stays on task, IBM’s work into neural plasticity (how well memories…
  • Basically the attention model will cover the short term, active, thought process while the memory portion will enable the network to streamline its function depending on the current situation.But don’t expect to see AIs rivalling the depth of human consciousness anytime soon, Rish warns.

Since the days of Da Vinci’s “Ornithoper”, mankind’s greatest minds have sought inspiration from the natural world for their technological creations. It’s no di…
Continue reading “IBM is teaching AI to behave more like the human brain”

UAlberta expertise brings DeepMind lab to Edmonton

Expertise in artificial intelligence brings Alphabet's @DeepMindAI lab to #yeg.

  • The DeepMind Alberta team will be led by UAlberta computing science professors Richard Sutton, Michael Bowling, and Patrick Pilarski.
  • So when we chose to set up our first international AI research office, the obvious choice was his base in Edmonton, in close collaboration with the University of Alberta, which has become a leader in reinforcement learning research thanks to his pioneering work,” said Demis Hassabis, CEO and co-founder of DeepMind. ”
  • Sutton is excited about the opportunity to combine the strength of DeepMind’s work in reinforcement learning with UAlberta’s academic excellence, all without having to leave Edmonton.
  • “DeepMind has taken this reinforcement learning approach right from the very beginning, and the University of Alberta is the world’s academic leader in reinforcement learning, so it’s very natural that we should work together,” said Sutton.
  • Working with Hassabis and the DeepMind team both in London and Edmonton, Sutton, Bowling, and Pilarski will combine their academic strength in reinforcement learning to focus on basic AI research.

University of Alberta
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