Where AI meets the real world. Improving robotics via deep learning & creating the next generation of smart robots.

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"The easiest place for Amazon to bring its expertise to bear is in the warehouses, because that's where Amazon really excels," Hawkins said. "If they can reduce costs, they can show that on the store shelves and move Whole Foods away from the Whole Paycheck image."

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Sifteo, founded by David Merrill was listed as one of Fast Company's most innovative companies in consumer electronics in 2012. Sifteo uses electronic tiles to merge the inherently social aspect of board games with all of the advantages of digital ones.

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In particular, Jana is interested in 'seeing' systems engaged in autonomous tasks, acquisition of static and dynamic models of environments by means of visual sensing, object recognition and human-computer interaction.

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Improving neural networks not through teaching, but through evolution—is revealing its potential. Five new papers from Uber in San Francisco, California, demonstrate the power of so-called neuroevolution to play video games, solve mazes, and even make a simulated robot walk.

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Josh and the team at OpenAI created a robotics system, trained in simulation and deployed on a physical robot, which can learn a new task after seeing it done once. Read more on this work and the incredible projects OpenAI are working on to improve robotic skills

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Why Attend

Speakers

Extraordinary Speakers

Discover advances in deep learning for robotics from leading influencers across research & industry. Learn from experts in reinforcement learning, computer vision, progressive NNs, autonomous learning, human-robotic interaction, imitation learning and much more.

Tech

Discover Emerging Trends

Deep Learning advancements, plus robotic manufacturer innovations will create the next generation of skilled robots impacting our world & increasing automation & efficiency. How can DL help write pioneering robot software and enable new mastery of skills and behavior?

Network

Expand Your Network

A unique opportunity to interact with industry leaders, engineers & research scientists leading advancements in deep learning for robotics. Learn from & connect with 200+ innovators sharing breakthrough research to create new frameworks for writing robot software.

Who

Who Should Attend

  • Lead Software Engineer
  • Chief Engineer
  • Robot Programmer
  • Founders
  • Director of Engineering
  • Robotic Technicians
  • Research Scientist
Speechbubbles

Join the discussion

  • 30 speakers
  • 200 leading technologists & innovators
  • Group brainstorming sessions
  • Interactive workshops
  • 7+ hours of networking
  • Access to all the filmed presentations
  • Discover how to harness AI for your industry
Document

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View the summit brochure and all the information you need to convince your boss that attending the summit will help future-proof your business.

Topics we cover

Machine Learning
Machine Learning
Computer Vision
Computer Vision
Reinforcement Learning
Reinforcement Learning
Progressive Neural Networks
Progressive Neural Networks
Imitation Learning
Imitation Learning
Human-Robot Interaction
Human-Robot Interaction
Robotic Grasping
Robotic Grasping
End-to-End Process
End-to-End Process

Previous Attendees Include

Stanford University
ABB
Sealed Air Corporation
Beckhoff Automation
UC Berkeley
Caterpillar
Nissan
Comcast Ventures
PepsiCo
CloudMinds Technologies
Nira Dynamics
Drive Capital

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For general event enquiries, for information on not-for-profit or government rates, or to pay via invoice please contact the Customer Relationship Manager John McNicholas via john@re-work.co

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