❇️ Free webinar: What's Next in Robotics?

Robotics is revolutionizing nearly every aspect of modern life, from manufacturing and transportation to healthcare and retail. We recently sat down with Professors Jeannette Bohg, Marco Pavone, and Dorsa Sadigh to learn more about their robotics graduate courses offered through Stanford Center for Professional Development.

The wide-ranging conversation covers topics such as:
The challenges of human-robot interaction
The future of autonomous vehicles
The application of machine learning in robotics
The difficulty of integrating data from multiple sensors

WATCH WEBINAR NOW >> https://learn.stanford.edu/robotics-webinar-on-demand-registration-20-01.html?utm_medium=email&utm_source=other&utm_campaign=partner.1.opencourse.targetedmessages.marketing~partner.1.khQD8MM7R6OBC-KXRrIsDQ

Questions? Feel free to contact us. [email protected] | 650-204-3984
Or visit online.stanford.edu.

❇️ Advanced Machine Learning Courses:

1.
💠 https://cs.cmu.edu/~bapoczos/Classes/ML10715_2015Fall/index.html

💠 https://youtube.com/playlist?list=PL4DwY1suLMkcu-wytRDbvBNmx57CdQ2pJ&jct=q4qVgISGxJql7TlE6eSLKa8Wwci8SA
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2.
💠 https://www.cs.toronto.edu/~rsalakhu/STA4273_2015/lectures.html
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3.
💠 https://www.mit.edu/~9.520/fall15/index.html

💠 https://youtube.com/playlist?list=PLyGKBDfnk-iDj3FBd0Avr_dLbrU8VG73O
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4.
💠 https://lcsl.mit.edu/courses/regml/regml2016/

💠 https://youtube.com/playlist?list=PLbF0BXX_6CPJ20Gf_KbLFnPWjFTvvRwCO
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5.
💠 https://stat.cmu.edu/~larry/=sml/

💠 https://youtube.com/playlist?list=PLTB9VQq8WiaCBK2XrtYn5t9uuPdsNm7YE
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6.
💠 https://stat.cmu.edu/~ryantibs/convexopt-S15/

💠 https://youtube.com/playlist?list=PLjbUi5mgii6BZBhJ9nW7eydgycyCOYeZ6
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7.
💠 https://cs.cmu.edu/~epxing/Class/10708-14/lecture.html

💠 https://cs.cmu.edu/~epxing/Class/10708-16/lecture.html

❇️ Opportunities for doctoral studentships in Quantum Computing

Dear Q-enthusiasts,
in the framework of the CERN Quantum Technologies initiative,
CERN openlab is providing opportunities for Doctoral Student to work on
Quantum Computing algorithms and applications. All the information on
how to apply are here:
https://careers.cern/students
The selection will be done via the normal procedure of the CERN doctoral
student program. Please be aware that the deadline for application is
March 25th. Do not hesitate to contact me if you need more information.
Thanks and best regards,

Federico Carminati
Chief Innovation Officer
CERN openlab
1211 Geneva 23
Switzerland

❇️ https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge
💠 dataset: https://pages.semanticscholar.org/coronavirus-research