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Resources

Policies, Advice, Resources

Lab Member Responsibilities

Rules, guidelines, and inspiration for lab members

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Advice on Creating Research Videos

How to create footage for conferences, talks, and investors.

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Advice on Writing Papers

Advice and wisdom compiled from multiple researchers.

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Advice on Reviewing Papers

Useful for your first time reviewing!

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Advice on Presentations and Conference Talks

General tips and strategies for a successful talk

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Introduction to the Conjugate Gradient Method without the Agonizing Pain (by Jonathan Richard Shewchuk)

Tips from another Berkeley professor

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Advice for Graduate Students

Various links that you may find useful

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Jur Van Den Berg's Lecture Slides on Kalman Filtering / EM Algorithm

Created by a University of Utah professor

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CAL-MR

UC Berkeley's Center for Automation and Learning for Medical Robotics (Cal-MR) advances research in automation and machine learning to improve robots and devices for medicine and surgery.

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Citris

CITRIS People and Robots is advancing robotics research, focusing on Deep Learning, Cloud Robotics, Human-Centric Automation, Precision Agriculture, and Bio-Inspired Robotics, developing socially responsible technology, which is critical as robotics is deployed widely in the world.

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BAIR

The Berkeley Artificial Intelligence Research (BAIR) Lab brings together UC Berkeley researchers across the areas of computer vision, machine learning, natural language processing, planning, control, and robotics. BAIR includes over 50 faculty and more than 300 graduate students and postdoctoral researchers pursuing research on fundamental advances in the above areas as well as cross-cutting themes including multi-modal deep learning, human-compatible AI, and connecting AI with other scientific disciplines and the humanities.

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