Kris Gopalakrishnan Quotes

AI does not keep me up at night. Almost no one is working on conscious machines. Deep learning algorithms, or Google search, or Facebook personalization, or Siri or self driving cars or Watson, those have the same relationship to conscious machines as a toaster does to a chess-playing computer.

The brain has about ten thousand parameters for every second of experience. We do not really have much experience about how systems like that work or how to make them be so good at finding structure in data.

I have always been convinced that the only way to get artificial intelligence to work is to do the computation in a way similar to the human brain. That is the goal I have been pursuing. We are making progress, though we still have lots to learn about how the brain actually works.

I'm fascinated by artificial intelligence.

Ask not what the brain can do for the computer. Ask what the computer can do for the brain.

If you want to solve very complex problems, you will have to end up letting machines work out a lot of the details for themselves, and in ways that we don't understand what they are doing.

There is a real danger that computers will develop intelligence and take over. We urgently need to develop direct connections to the brain so that computers can add to human intelligence rather than be in opposition.

We wanted to solve robot problems and needed some vision, action, reasoning, planning, and so forth. We even used some structural learning, such as was being explored by Patrick Winston.

Graphics has lately made a great shift towards machine learning, which itself is about understanding data.

When people speak of creating superhumanly intelligent beings, they are usually imagining an AI project.

Mimicking the intricacies of the human brain, a neuro-inspired computer would work in a fashion similar to the way neurons and synapses communicate. It could potentially learn or develop memory.

I am suggesting that we recognize that in network and interface research there is something as profound (and potential wild) as Artificial Intelligence.

It seems like everything that we see perceived in the brain before we actually use our own eyes, that everything we see is coming through computers or machines and then is being input in our brain cells. So that really worries me.

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

I was interested in big unknowns, and the brain is one of the biggest, so building tools that allow us to regard the brain as a big electrical circuit appealed to me.

This is a magical time for computer programming. We are moving towards the artifical intelligence holy grail of programming the computer to simulate the human brain.

The revolution in AI [artifical intelligence] has been profound. It surprised me, even though I was sitting right there.

The thing that's going to make artificial intelligence so powerful is its ability to learn, and the way AI learns is to look at human culture.

Whatever you are studying right now, if you are not getting up to speed on deep learning, neural networks, etc., you lose. We are going through the process where software will automate software, automation will automate automation.

I first got interested in the brain through computers.

None of us today know how to get computers to learn with the speed and flexibility of a child.

Many researchers are exploring other forms of AI, some of which have proved useful in limited contexts; there may well be a breakthrough that makes higher levels of intelligence possible, but there is still no clear path yet to this goal.

The deep learning techniques, while relatively easy to learn, are quite foreign to traditional engineering modalities. It takes a different mindset and a relaxation of the presumption of control. The practitioners are like magi, sequestered from the rest of a typical engineering process.

Moore's Law-based technology is so much easier than neuroscience. The brain works in such a different way from the way a computer does.

There's a long history of artificial intelligence programs that try to mimic what the brain is doing, but they've all fallen short.