Cozmo - https://anki.com/en-us/cozmo
NVIDIA AI Car - http://nvda.ws/2cBewNI
Moley Robot - http://www.moley.com/
Sawyer Robot - http://www.rethinkrobotics.com/sawyer-intera-3/
Google DeepMind Alpha GO - https://deepmind.com/research/alphago/
Berkeley BRETT (PR 2)- http://rll.berkeley.edu/deeplearningrobotics/
Google Research hand-eye coordination - https://research.googleblog.com/2016/03/deep-learning-for-robots-learning-from.html
Solo Emotional Radio - http://uniform.net/work/projects/solo/
Google Speech Recognition - https://cloud.google.com/speech/
Kuka Self-Learning robot - http://www.kuka-robotics.com/en/
I love this video! In my opinion, IoT and machine learning are technologies of future! I'm thinking about getting both of them from https://ax-dynamics.com/ and I'm very excited! I hope that my company will be beter now and this solutions will help in our everyday life!
Nice selection of examples! I have also created a video where I present 15 companies that use machine learning to solve various, interesting problems. It is less focused on robotics, though.
If you are interested, here is the link: https://youtu.be/WziO49CDYZM
I use to program robotic welders. This was about 6 years ago. I promise you thing was moving slow compared to how fast they were even back then. I never tested one at full speed but some of the stuff I had them doing defiantly moved as fast as they were going and that was at 30% of max speed. According to the manual for the robot the tip of the welder with the arm fully extended could move at 70 mph. So you figure with the arm not fully extended you are still looking at 35 mph. Also the one I worked with had a accuracy of about 1 milimeter. Now if I had a rubber tip on it instead of a welding nossle I have no doubt that I could have had it play "marry had a little lamb" on wine glasses. I'm don't know music well enough to do what they did. The only thing is I think I would have to fasten the glasses to the table somehow. I don't think it would work if they were freestanding. But then I can't do it with my own finger without holding the glass either. Anyway I don't know if that last video was real in that it actually happen just like they showed it but the speed of operation is absolutely no reason to discount it. I looked you up an example https://www.youtube.com/watch?v=e9geaPrEW3E
with Brett i love how it does not make these robotic one-at-a-time motions but actually moves all parts of the arm at the same time to really finetune its movement. gives it this human-like feel of movement
the third one, Moley... i've been wondering for years why there are no dish washers that actually use robotics to wash dishes, instead of blinddly spraying hot water and allot of chemicals. never thoughht about expanding to the rest of the kitchen though ^^
That third one, Moley, is retarded.
Why would you design a "cooking" robot to have human hands?
It should be optimized for cooking and cleaning.
Human hands can do a thousand things pretty well.
Moley could have been engineered to do ONE thing perfectly--but they
gave it human hands.
It shouldn't aspire to be human, it should be engineered to be better than a human.
It uses human hands because all of the cooking utensils, pots, pans, packages, bottles, ect. These are all designed to be operated with human hands. Nothing could do better than that for all items than human hands therefore human hands are the perfect tool to interact with them. Otherwise you end up with specialty robotic hands and now you have to buy special pots, pans, spoons, spatula and all your food, spices, and everything else to specifically fit the robot. Everything you cook with would become proprietary. You couldn't just go buy food from the local grocery store b/c the robot couldn't use it. Which, if DELL made it is exactly how it would be.
I was hoping so desperately that it would start rummaging through a tub of mixed up legos, looking for a specific one. Someone needs to build an arm that can find things out of a chest, and build it into a toy chest. If a child can tell their toy box to find a toy.. especially something as small as a lego... you'd be rich.
A true master of the wine glass would have bust out some chords and that robot would have had to step it up a notch. BAM! :P
How could they claim that a net that can play Go better than any human is therefore AGI? The 'fitness function' for Go is so convenient and ideal that is should surpass any human player after a reasonable amount of training (and the same goes for any game that can give you a specific score on your performance). The real task for AGI is learning more complex tasks where the outcome is ambiguous, abstract and general - much like the tasks us humans face on a day-to-day basis. Deep nets and backpropagation is shit-all when seen next to the GI of cortical tissue.
I was wondering...neuro network from a...plant let say...and then it produce something unique in a graphic intwrface where qe can discover a cure gor cancer but probably i am wrong on plants having that right.
Marin Community Foundation and Asian Americans/Pacific Islanders in Philanthropy.
Overall, US-born Muslims make up the largest percentage at 34% of all Muslims in the Bay Area, followed by 14% born in Pakistan, 11% in Afghanistan, 10% in India, 3% in Egypt and 2% each in Iran, Jordan, Palestine and Yemen.
Silicon Valley Pakistani-American by the Numbers:
There are 35,000 Pakistani-born Muslims in San Francisco Bay Area, or 14% of the 250,000 Muslims who call the Bay Area home, according to the study. Bay Area Muslim community constitutes 3.5 percent of the area’s total population and is one of the highest concentrations of Muslims in the country.
As of 2013, South Asian Muslims, including Pakistanis, have the highest income levels, with nearly half (49%) of them having a household income above $100,000. In comparison, those groups with the lowest proportion of household incomes above $100,000 were Hispanic Muslims (15%), Afghans (10%), and African American Muslims (10%).
The Bay Area Muslim community is very diverse in terms of race and ethnicity:
South Asians (30%)
African Americans (9%)
Asian/Pacific Islanders (7%)
Based on the survey findings, the majority of Muslims live in the following three counties:
and Contra Costa (12%)
Thousands of Pakistan-born techies are working at Apple, Cisco, Google, Intel, Oracle and hundreds of other high-tech companies from small start-ups to large Fortune 500 corporations. Pakistani-Americans are contributing to what Erik Brynjolfsson and Andrew McAfee describe as "The Second Machine Age" in a recent book with the same title.