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Mapping deep learning to quantum annealing is not only 100M times faster, but energy usage will also drop dramatically.
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Quantum annealing is 100 million times faster than a single Intel core running today's best algorithms.
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Gate model foists our existing computing model on quantum. DWave focus on quantum annealing... aligned with AI.
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Quantum computers use superposition, entanglement and tunneling features of quantum physics.
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Quantum computers are physical probabilistic sampling devices.
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"The best use case of quantum computers will be applications of machine learning algorithms." Probabilistic reasoning FTW
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MoMalls are on the way.https://twitter.com/mashable/status/862778362951069696 …
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"The Dyn attack was 1.2TB per second, the biggest I've ever seen"
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"Now lets start with a serious question. I see cylance every time I go to the airport. What's up with that?"
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"I feel like we are living in a Batman movie these days."
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"AI is not as important as the wheel. Its more. AI is akin to discovering fire." Cybersecurity panel
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Scott Penberthy Retweeted
It's finally here: the full story on Neuralink. I knew the future would be nuts but this is a whole other level. http://waitbutwhy.com/2017/04/neuralink.html …pic.twitter.com/YVA6dLH8uY
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Scott Penberthy Retweeted
It's fun to think about how you'd explain e.g. training ResNets on ImageNet to someone from 200 years ago. Even cameras didn't exist.
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"Fake news? How about fake phishing phone calls from AI generated voices of people you know?" Oy.
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"Should we teach the core math and science of AI in high school?" "That's too late."
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"AI trainer" is a growing discipline.
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We believe people want to grow and learn new things. AI enables that.
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The more we automate the mundane with AI, the more time we have for creativity.
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"We aren't even at the level of a bee and fruit fly when it comes to motor skills and motor intelligence."
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