AIAR Weekly #15

AIAR Weekly

Issue #15

18.03.2016

Featured material:

• [AI] Move 37 - The final result for 5 matches of Go between AlphaGo and Lee Sedol is 4 to 1. In this article you can read about possible mistake or maybe master move (since AlphaGo won after all) which AI did against human opponent. What do you think, was it mistake or rather something beyond our understanding?

Articles and videos:

• [R] Robot Revolution: These Are the Breakthroughs You Should Watch - In issue 13 of AIAR Weekly I presented link to summary and predictions related to drones industry. This time I'm presenting link to similar article in which Rodney Brooks summarizes breakthroughs and predictions related to robotics industry.
• [AI] Korea Government to invest 1 tln won in artificial intelligence - South Korea government decided to join the wave of funding research related to AI and they will boost local enterprises and research facilities with equivalent of US$840 milions. Are they afraid that they lost lead in Go competitions? ;)
• [R] iRobot’s Braava Jet Mopping Robot Is Small, Smart, and Not Round - Again link about floor cleaning robot? Boring you can say? I'm big fan of utilitarian robots, so this implies that I'm also big fan of something such trivial as cleaning robot. Believe me or not, being surrounded with hi-tech devices I'm still most impressed when I can observe such robots in actions. I hadn't chance to test this Braava little fellow, but I definitely try when I will have occasion.
• [AI] Google Beating Grandmaster Sedol Is Bigger Than IBM Beating Kasparov - If you still have no idea what is the deal with AlphaGo, in this link you can read nice summary of whole 5 matches Go duel between man and machine.
• [R] Google Puts Boston Dynamics Up for Sale in Robotics Retreat - It seems that there are rumors that Google will sell Boston Dynamics to other technological companies. I'm not sure why exactly or if those rumors are close to truth but we will probably find that out soon.
• [AI] Is Casual Discovery The Most Interesting Facet Of Machine Learning? - In this Q&A article you can read answers to following questions answered by Isabelle Guyon: 1) How should one start a career in machine learning? 2) What level of mathematical knowledge is required to learn machine learning? 3) Whose or what lab’s research in machine learning do you find the most interesting? Go and check it if you are interested in her opinion.
• [R] Walking and Running: Bio-Inspired Robotics - How do you defining running? And walking? Is your definition applicable to robots? Jonathan Hurst and his team from Oregon State University analyzed many materials related to human and animal movements and they proposed mathematical model of walking. Then they build a robot and ... you will have to watch it because I will not spoil that video for you ;).
• [AI] IQ2 Debate: Don't Trust The Promise Of Artificial Intelligence - Quite lengty debate about pros and cons of Artificial Intelligence. One of arguments for watching it is that on the cons side there is Martine Rothblatt - one of my favorite entrepreneurs. Who will win audience?

Crowdfunding:

• [R] Maximo Robot Arm - Another desktop robotic arm. This time it looks slightly heavier and more complicated but author promises modular "hands" so it might have greater educational value. It seems slightly overpriced to be widely available, but maybe further iterations will be cheaper.

Book of the week:

• [AI] Our Mathematical Universe: My Quest for the Ultimate Nature of Reality - OK, maybe categorizing this book from Max Tegmark as AI book is misleading. This book is rather general approach to combine our knowledge about mathematics, physics and overall science into some probable theories. It seems like worth try lecture.

Courses:

• [AI] Machine Learning - "This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course will also draw from numerous case studies and applications, so that you'll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas."

Jobs:

• [AI] Software Engineer III - Artificial Intelligence Group @ NASA JPL - NASA, one of most interesting organizations in the world. People working there are designing space related missions decades before they will be started. It seems that they are looking for people which will help them connecting artificial intelligence technologies with robots and other equipment which might be used in future. Location: Pasadena, United States. Tags: c++, artificial-intelligence, ruby, php, software-development.

Humor:

• [R] Professionals at work - If only everyone had such attitude to perform such work ;).

Kudos:

Michał Neonek, MrValgad, Tompul, Magdalena

Appendix:

Do you have link to cool news, article, tutorial or video and want to share with other robot/AI fans? Send it to me and if meet quality standards I will include it in next issue of AIAR Weekly.

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