State of Machine Intelligence
Understanding how the brain works and building intelligent machines that work on the same principles is one of the grand challenges of our time, perhaps of all time. Recent progress in neuroscience, machine learning, and computer architecture has pushed us through an inflection point where rapid and real progress is staring to occur. In this talk, serial entrepreneur, inventor, and author Jeff Hawkins, who has spent 30 years studying neuroscience, will describe the advances in these disciplines and the state of the art in building intelligent machines, including a description of NuPIC, an open source project for machine intelligence. There are many misconceptions about what intelligent machines will be, what they will do, and their implications for humanity. Hawkins will try to provide clarity on these issues while outlining a realistic description of the future where machine intelligence is a reality.
Additional Supporting Materials
- What have we learned about the way the brain works?
- Can it be replicated in intelligent machines?
- How does this biologically-inspired approach differ from other artificial intelligence research?
- How far away are we from building truly intelligent machines?
- What are the limits to machine intelligence?
- Jeff Hawkins Numenta
Teri Fry Numenta
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