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Scholarcy Research Findings 1m
Policies trained by adapting simulation randomization using real world data are able to reliably transfer to different robots in two real world tasks: swing-peg-in-hole and opening a cabinet drawer.
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TweetsAboutTheCenter 25s
RT 🤖 () using Physics to reduce recall rate: as Carbon remains Diamond eternally, models precision can be set for good
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The IT Press Tour 1m
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Saranda Arifi 20s
Full house for Liselott Johansson, CEO at Than, on the AI that will change insurance as we know it! Insights from an AI startup who revolutionized an entire industry!
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CSAIL at MIT Oct 15
MIT just committed $1 billion to create a new college of computing - the largest financial investment any US academic institution has ever made in CS & AI:
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PixelWeavers Oct 11
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Kiril Serafimovski 58m
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Molly King 2h
Windows 10 October 2018 Update supports ray tracing to make games look better than ever: MT:
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Henry H. Ngan, MBA, CPA Oct 13
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SAP for Banking 18h
Ensure the problem you’re trying to solve is different enough & interesting enough to build a team and keep a team together. Listen to on
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Kiril Serafimovski 2h
After a Full day of and workshops its time for fika before the Next session starts
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Ronald van Loon Oct 14
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Scale Tech Conf 2h
Machine learning allows for faster and better decisions, but developing a model is hard! Thanks to our first speaker of the day for acknolwedging this and offering practical tips for winning during the shift
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@mikequindazzi · @fisher85m
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A computer program is said to learn from experience E with respect to task T and some performance measure P, if it's performance on T, as measured by P, improves with experience E.
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Deep Learning Without Labels:
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Today is the second day we are at 2018 in Cambridge, MA, USA. The man on the photo - Iskandar Sitdikov - gives a second talk today. If you are there, at , find him and feel free to ask about serving and monitoring.
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AI Oct 16
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Robots-and-AIs 4h
RT : announces \$1B AI college to tackle talent gap for machine learning pros
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