OpenAI Robotics Symposium 2019
We hosted the first OpenAI Robotics Symposium on April 27, 2019.
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Artificial Intelligence, Featured, Hardware, Technology
5 of the Best Domestic Robots for Your Home
Automatic Gadgets That are a Boon for Busy People You are already 50% less tired when you come back from work to a neat and tidy house. Cleaning before and after a busy day can be a put off for most of us. A few years ago, robots were only a possibilit…
deep-learning, Machine Learning
My First Year at UW-Madison and a Gallery of Awesome Student Projects
Not too long ago, in the Summer of 2018, I was super excited to join the Department of Statistics at the University of Wisconsin-Madison after obtaining my…
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Lessons from AI Research Projects: The First 3 Years
Translations: 中文
I’ve been at Google Brain robotics (now referred to as Robotics @ Google) for nearly 3 years. It’s helpful to reflect, from time to time, on the scientific, engineering and personal productivity takeaways gleaned from w…
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OpenAI Scholars 2019: Final projects
Our second class of OpenAI Scholars has concluded, with all eight scholars producing an exciting final project showcased at Scholars Demo Day at OpenAI.
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OpenAI Fellows Fall 2018: Final projects
Our second class of OpenAI Fellows has wrapped up, with each Fellow going from a machine learning beginner to core OpenAI contributor in the course of a 6-month apprenticeship. We are currently reviewing applications on a rolling basis for our next rou…
Artificial Intelligence, Featured, News, Software, Technology
AI Software in the Workplace – How It Can Upskill Employees
A lot of credit for the fast-changing way we work goes to artificial intelligence. AI and machine learning are increasingly powering workplace platforms and tools because sophisticated automation tools can relieve workers from tasks that are too dull o…
deep-learning, Machine Learning, Snapchat
Fun with Snapchat’s Gender Swapping Filter
Snapchat’s new gender-bending filter is a source of endless fun and laughs at parties. The results are very pleasing to look at. As someone who is used to working with machine learning algorithms, it’s almost magical how robust this feature is.
I was …
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Domain Randomization for Sim2Real Transfer
In Robotics, one of the hardest problems is how to make your model transfer to the real world. Due to the sample inefficiency of deep RL algorithms and the cost of data collection on real robots, we often need to train models in a simulator which theo…