Tim O'Reilly Quotes

Around my neighborhood, I'm known as the American who talks to her computer while she types.

As we move over to more of a mobile device-centric world... I think the interaction model with devices is going to be much more voice-based.

Continuing on my theme of backing inclusive innovations, I am optimistic of the success of Uniphore. Man-machine communication is one of the more complex problems to solve. Uniphore's vision lends possibility of finding a solution to this very difficult problem, and the company has already made substantial progress.

When I was building robots in the early 1990s, the problems of voice recognition, image understanding, VOIP, even touchscreen technologies - these were robotics problems.

Google, as usual, is one step ahead of everyone and provided the means where all videos on YouTube can be automatically captioned through voice-recognition technology without having to be told that it's the responsible thing to do.

In real life, I'm the kind of person that if I use Siri, I thank her afterwards.

Imagine if we can just talk to our computers and have it understand, 'Please schedule a meeting with Bob for next week.' Or if each child could have a personalized tutor. Or if self-driving cars could save all of us hours of driving.

The two things I'm most excited about are self-driving cars and speech. Speech doesn't sound like that much, but it's one of those technologies with the potential to change everything. Steve Jobs didn't invent the touch screen. He just made it work very well, and that's changed everything.

When you go to a voice-based interaction, you can't tell people, 'Ask me this question and structure it in this way.' And if they ask a question, and you have a bad answer, first time, maybe they'll be okay with it. Third time, they're going to say, 'This is a complete waste of time. I'm going away.'

Humans are still much better than computers at recognizing speech.

Thinking about Amazon's restraints - the company has never tried to introduce a social network or an email service, for example - you can understand something about the future Amazon seems to envision: A time when no screen is needed at all, just your voice.

The most important thing for building a robot that you can interact with socially is its visual attention system. Because what it pays attention to is what it's seeing and interacting with, and what you're understanding what it's doing.

Language is too complex for a computer to understand. It's not going to be able to make sense of what people are saying en masse. We need a new type of discipline that puts together computer scientists and social scientists, who can add context to the situation.

Google Now is one of those products that to many users doesn't seem like a product at all. It is instead the experience one has when you use the Google Search application on your Android or iPhone device (it's consistently a top free app on the iTunes charts). You probably know it as Google search, but it's far, far more than that.

I know it may seem surprising to people, but learning dialog that has a conversational flow to it is not that difficult.

I am the Chenbot!

My mission at Google is to develop natural language understanding with a team and in collaboration with other researchers at Google.

I'm working on artificial intelligence. Actually, natural language understanding, which is to get computers to understand the meaning of documents.

If we want to help Google become something meaningfully different in the future, then that's more likely to happen if we focus on the physical world instead.

But as far as the concept of HAL, who HAL was, his character - I had no role in creating him.

As our various electronic devices gain more and more sensory awareness, we open up the potential for entirely new forms of interaction. Not just new interfaces - tapping and shaking and whatnot - but a shift in presence.

We've seen computers play chess and beat grand masters. We've seen computers drive a car across a desert. But interestingly, playing chess is easy, but having a conversation about nothing is really difficult for a computer.

Big companies, which spend tens of billions of dollars annually on 'call centers' to take orders and provide customer support, increasingly rely on speech recognition not just to handle requests for information but to process customer orders.

Human language is the new UI layer, bots are like new applications, and digital assistants are meta apps. Intelligence is infused into all of your interactions.

By developing deep learning solutions that are faster, easier, and less expensive to use, Nervana is democratizing deep learning and fueling advances in medical diagnostics, image and speech recognition, genomics, agriculture, finance, and eventually across all industries.