Sebastian Thrun Quotes

I want to build the next CNN with 'VICE' - it's within my grasp.

Now that neural nets work, industry and government have started calling neural nets AI. And the people in AI who spent all their life mocking neural nets and saying they'd never do anything are now happy to call them AI and try and get some of the money.

Along with Facebook, Microsoft, and Apple, these companies are in a race to become our 'personal assistant.' They want to wake us in the morning, have their artificial intelligence software guide us through our days, and never quite leave our sides.

We will not only use the machines for their intelligence, we will also collaborate with them in ways that we cannot even imagine.

We need to build EQ in our AI systems because, otherwise, they're not going to be as effective as they were designed to be.

I love looking at machines that mimic human behavior.

I am often asked what the future holds for Emotion AI, and my answer is simple: it will be ubiquitous, engrained in the technologies we use every day, running in the background, making our tech interactions more personalized, relevant, authentic and interactive.

It's challenging to drive in a way that's human-like.

Things that are so hard for people, like playing championship-level Go and poker, have turned out to be relatively easy for the machines. Yet at the same time, the things that are easiest for a person - like making sense of what they see in front of them, speaking in their mother tongue - the machines really struggle with.

There's something about when it gives a shockingly incorrect answer with the same chirpy HAL 9000 voice that feels so hopeful. Watson won't get discouraged, it will just try again.

I'm an investor in a lot of things that have to do with human-computer interaction.

I often tell my students not to be misled by the name 'artificial intelligence' - there is nothing artificial about it. AI is made by humans, intended to behave by humans, and, ultimately, to impact humans' lives and human society.

Some law firms now use artificial intelligence software to scan and read mountains of legal documents, work that previously was performed by highly paid human lawyers.

The Turing Test was a brilliant idea, but it's evolved into a competition of chatbots.

After an afternoon of interviewing Siri it turns out there are millions of questions that it can't or won't answer: How did you get my phone number? How many Siris are there? Did you have a Christmas party? Who is playing the tiny xylophone before and after each interaction? Are you spying on us, plotting the downfall of our species?

Most efforts to approximate normal human behavior in software tend to be creepy or annoying.

We have a good sense of the pulse of the industry. We know what's going on out there. We know that deep learning adoption is broad. It's going into production at scale.

If you step back a little and say we want to do A.I., then you will realize that A.I. needs knowledge, reasoning, and explanation.

A lot of what people are calling 'artificial intelligence' is really data analytics - in other words, business as usual. If the hype leaves you asking 'What is A.I., really?,' don't worry, you're not alone.

I'd like to make a fundamental impact on one of the most exciting, intelligent questions of all time. Can we use software and hardware to build intelligence into a machine? Can that machine help us solve cancer? Can that machine help us solve climate change?

The fact that a task cannot be computerized does not imply that computerization has no effect on that task. On the contrary, tasks that cannot be substituted by computerization are generally complemented by it. This point is as fundamental as it is overlooked.

Artificial intelligence is here and being rapidly commercialized, with new applications being created not just for manufacturing but also for energy, healthcare, and oil and gas. This will change how we all do business.

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.

I love sophisticated algorithms that help consumers in a tangible way.

AI-assisted driving is a perfect platform for advancing fundamental human-centric artificial intelligence research while also producing practical applications.