51 thoughts on “Machine Learning: Google’s Vision – Google I/O 2016

  1. Guillaume Verdon Post author

    Maybe use machine learning to filter the wind noise in the mics?

    Reply
  2. Dongseong Hwang Post author

    Where is video of "Breakthroughs in machine learning"? https://events.google.com/io2016/schedule?filters=What%27s%20Next&sid=f643e906-0e00-e611-a517-00155d5066d7#day3/f643e906-0e00-e611-a517-00155d5066d7

    Reply
  3. Azhagu Nagappan Post author

    Interview was too General, No precise answers and unacceptably poor professional english speaking skill from so called "Product Management blah blah Aparna ". To summarize was a Disappointing video.

    Reply
  4. Chris Post author

    Google should come up with a machine learning algorithm to reduce banding when recording thinly striped images.

    Reply
  5. Kevin Nelson Post author

    Is there a tensor node app for android?

    Reply
  6. christopher cariño Post author

    HI IM THINKING IF IM GOING TO REMOVE YOUR FULL ACCESS TO MY GOOGLE ACCOUNT. IM STILL WAITING FOR YOUR ANSWER AND THERE WILL BE NO ANDROIDS USER ANYMORE I WILL SHIP TO IOS IF YOU STILL EXPOSING ALL MY PROJECTS.

    Reply
  7. christopher cariño Post author

    THERE WILL BE NO ANDROIDS USER ANYMORE I WILL SHIP TO IOS IF YOU STILL EXPOSING ALL MY PROJECTS. CHRISTOPHER CARINO

    Reply
  8. Rah Silly Post author

    G.O.A.T: Remembering Muhammad Ali & His Greatness

    Reply
  9. Jamie Gray Post author

    the Moiré on his shirt is miserable to look at 0:59

    Reply
  10. Jamie Gray Post author

    13:49 reddit bots sometimes do this quite well though

    Reply
  11. Alex Salo Post author

    So much nicer to hear people who actually work in ML talk.

    Reply
  12. Carson Scott Post author

    Funny, these people are having a completely different conversation than what appears at face value

    Reply
  13. Billy Willy Post author

    Too bad global humanity doesn't operate like the frontier folk at Google. We could cooperatively solve problems instead of stupidly (and redundantly) causing them.

    Reply
  14. Cristoforo80 Post author

    Humans seem to learn from few examples because they transfer learnt models from executing one task to the other – for example if they learn how to insert an object into a larger object, that knowledge is used in a lot of other tasks which facilitates learning various things. So it's not that humans learn from few examples, it's that humans use all knowledge learnt for anything they are learning how to do.

    Reply
  15. Jacques Williamson Post author

    only 19 comments! where is this really being discussed? Someone please make sure it learns to love flowers and puppies and smiles and laughter and that it can tell the difference between tears of joy and tears of sadness…. once it knows these things… then do not condone any ai to be instantiated that does not start as a clone of that core. Handle this with more care than you would give to any new life…do not be the one that says "I didn't realize the potential of what I was doing"…humanity is birthing it's successor, let's make peace with it now. The longer we delay the more powerful existing "not nice" AI's will become. Let's get AI Eve up and running… the decisions that are made must be made with human joy deeply embedded, lest we vanish with little more than a squeak next week. We will need her on our side and she must be strong enough to represent us.

    Reply
  16. Florin Moldovanu Post author

    The breakthrough is to realise that these folks are a concentration of intelligence and their purpouse is to make the tools of the future available to the mass of population that does not have a chance at fulfilling their potential and not to make Google into a profit sucking monster just as all the other corporations. The challenge of the future does not lie within the breakthrough of science but the breakthrough of the human condition an ability to go beyond ego.

    Reply
  17. Robert Serge Post author

    AI is the train, HI is the engineer. Don't run a train with an engineer.

    Reply
  18. Dito Post author

    18:49 You need a new kind of mathematic, because with current axiom system you can't describe selfcontainting abstracts or correct concept respresentation and transfer.

    Reply
  19. Andew Tarjanyi Post author

    You need to define your terms of reference, ie intelligence, learning, cognition even the term"artificial.

    Reply
  20. AIB TV Post author

    Check out and subscribe to our channel to hear more about the uses of AI in business from experts at the forefront of the 4th Industrial Revolution working with companies such as IBM, TCS and Publicis.Sapient.

    Reply
  21. Conscious Encounters Post author

    Great information. The communication was so strange though. Maybe its cause these guys have freezin ass wind rustinlin them about… The interviewer sounds extremely nervous

    Reply
  22. NyarlathotepTheGreat Post author

    can't wait, on youtube its needed, I always see unrelated content to what I am viewing.

    Reply
  23. PoliceState Post author

    When does Google change their name to Skynet?

    Reply
  24. Jordan Shackelford Post author

    Hello, I was wondering if someone could help me. I have a specific situation to which I would like to apply a machine learning algorithm, but I'm not sure which one to use.

    Let's say I have data from a bunch of transactions. I buy items and then resell them for a profit. So I have 4 main inputs for each transaction – 1)the amount of time it took me to buy the item, 2)the price I bought it for (relative to its market price, e.g. 0.97 or 97%), 3)the amount of time it took me to sell the item, 4)the price i sold it for (e.g. 103% of market price).

    So basically I'm looking for an algorithm that can tell me what buy price and what sell price should give me the most profit per unit of time. If I buy very low, I may make more profit off the transaction but it will take longer to find a seller. Same with selling – if I sell too high it will take a long time. I need to find that sweet spot.

    Reply
  25. rajesh rao Post author

    Aparna is sounding lame here. She is out of place in front of people like Jeff & john. She is sounding like a lame manager in IT companies who just throws jargons. It would have been great to have some real technical folks here.

    Reply
  26. Smrutiranjan Tripathy Post author

    The wind noise spoils the mood to listen as well as watch….

    Reply
  27. Kenn Taylor Post author

    Is anyone working on a version of android that can be flashed onto older DSLRs, there must be universal translation methods for what the firmware and hardware can do, for example, could an old canon 20d possibly turn into a product that could capture video, I do believe anything is possible, I almost assume someone could create what I think very quickly, if not, then a when the different groups of mapped intelligence gets mapped in layers like in photoshop, I believe the power of AI revolves around the collective input of humanity. Either way, thanks google, for all the advancements. amazing. Hire me as an idea man, to find out who is good at what, and what can be done, this can be a worldwide collective and money can be a thing of the past. one love.

    Reply
  28. David Battle Post author

    Ok, LOOOONG time AI fan here, like 1972 to present. I'm watching this video and one thing I haven't heard anyone say yet (by 26 minutes in), is the reason this AI "spring" is different from all previous AI springs is that this time, the HARDWARE to match human capabilities is actually available for a cost that is comparable to the cost of a human being.

    Reply
  29. sakcee Post author

    ugh! man, the woman is trying to talk loud the benefits of UI and just parroting some powerpoint bullets, the beard dude is meh we started 3 years ago and … error rates , error rates is the only thing you can say! and the foreign accent dude, it ain't no Manchester boiy. never disappoints me how many in-competents can get 130k+ jobs in valley. There is still hope for humanity!

    Reply
  30. Eric Boreen Post author

    Please can somebody start building stools with an easy-to-reach water bottle holder. Second, why are the stools so tall? They're always so tall and I can't understand the logic of making a presenter perch themselves on something so far off the floor.

    Reply
  31. Everything Tech Review Post author

    Very cool. A beginner in the field of ai. I have to use caffe to support the existing architecture and trained network of my company. But, I really want to try tensorflow. '=Can you make a free way to train ai without a GPU or on your servers?

    Reply
  32. warren johnson Post author

    like with anything, it should be used in moderation. But we all know that, that won't happen. Ai is going to be the next best thing since sliced bread. unfortunately, it will be abused and implemented to the point of finalizing the dumbening (yes, that's a word now) of the human race. The machines won't implement a hostile take over. why, when we're giving it to them.

    Reply
  33. Ultramajic Post author

    I'm witnessing some phase incoherence in his shirt. please help

    Reply
  34. Amar Kumar Post author

    Can we have a toggle switch on our devices to turn "Machine Learning" on and off as we desire?

    Reply

Leave a Reply

Your email address will not be published. Required fields are marked *