Paradigm

So this is the great paradigm.

That hit a wall. They couldn't shrink them and keep the vacuum.

It's not just about terrorism, though.

I venture there are many in this room.

Which will happen around 2020.

Radical collaboration. Social entrepreneurship.

We'll get to all of those throughout this course, and then you'll be well set to understand either of those two paradigms.

We talked about classification and regression and different methods to do supervised learning.

So to me, there's that.

And what's really interesting is that this wasn't just about optimizing existing policies, but data transformed some of the beliefs and paradigms underlying German education.

Whole different paradigm transistors came out of the woodwork.

We're treating it as something that got inside of you that we have to kill.

He is giving us not just for Psoriasis, for cancer and a whole range of things, changing the whole paradigm.

Orbital hotels to start with, but workshops for the rest of us later on.

We went to the fourth paradigm, transistors, and finally integrated circuits.

And Moore's Law was not the first paradigm to bring exponential growth to computing.

Habits, certainties, convictions, exclamation marks, paradigms, dogmas.

Well, then I got to thinking

You need this kind of to remix things a little bit.

In which case, we have to somehow clean this bias.

We need to change how we actually go about managing these resources.

I want to congratulate you to get here.

life becomes single cells single cells become strings strings become chains chains network.

So first of all, throughout these online courses, we'll see a number of general algorithm design paradigms ways of solving problems that cut across different application domains.

And I'll talk about this when I talk about robotics in more detail.

We need to postulate a completely different paradigm to explain all these phenomena.

And so this introduces this, this paradigm for building KDFs.

In both cases you're given data, but in 1 case you have labeled data, in another you have unlabeled data.

You've heard that word several times in the last four days, and everyone's familiar with Kuhnian paradigms.

There are other problems with the search paradigm.

We have to invest in transformations capability, moving from crisis into innovation and the ability to rise after a crisis, and of course to adapt to unavoidable change.

Very, very bad for economies and companies and cities in our present paradigm.

Alan Guth came up with so called infla tionary theory, and this was a very surprising thing, and it really addressed the number of important, questions in cosmology.

I allow my creativity to push me in directions that are simply interesting to me, and I don't worry about the likeness of the result to some notion, some paradigm, of what music composition is supposed to be, and that has actually urged me, in a sense, to take on a whole bunch of different roles, and so what I want you to think about is, to what extent might you change the fundamental question in your discipline, and, okay,

It took us three years to double our price performance of computing in 1900, two years in the middle we're now doubling it every one year.

Which when it was first discovered was, kind of, people always thought that you always went from DNA to RNA, but this kind of broke that paradigm.

So to do that, we came up with a very simple paradigm in collaboration with the Fiorella group, where one side of this little box, if the animal goes there, the animal gets a pulse of light in order to make different cells in the brain sensitive to light.

Now, rational is the dominant paradigm in public health, and if you put your public health nerd glasses on, you'll see that if we give people the information that they need about what's good for them and what's bad for them, if you give them the services that they can use to act on that information, and a little bit of motivation, people will make rational decisions and live long and healthy lives.

And I believe that if we do this, and I believe that we can, that we will arrive at a fundamentally new paradigm for understanding and treating human disease, so that, in the future, if you go to seek the help of a health care professional, that it will in fact matter, if you're a male or a female the treatment that you receive, and not just, if you're going to see your gynecologist or your urologist.

I'll introduce Big Oh notation and its variants, explain its mathematical definitions, and give a number of examples.

Every time one paradigm ran out of steam, another paradigm came out of left field to continue the exponential growth.

We had a lot of success, and we really felt like we were changing the disaster response paradigm.

He gave the guards permission to do those things, and they knew nobody was ever going to come down to that dungeon.

And that was the end of the shrinking of vacuum tubes, but it was not the end of the exponential growth of computing.