A Quote by Jeff Dean
Health care - the ability of neural networks to ingest lots of data and make predictions is very well suited to this area, and potentially will have a huge societal impact.
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I think the first wave of deep learning progress was mainly big companies with a ton of data training very large neural networks, right? So if you want to build a speech recognition system, train it on 100,000 hours of data.
All you need is lots and lots of data and lots of information about what the right answer is, and you'll be able to train a big neural net to do what you want.
I'm a geek through and through. My last job at Microsoft was leading much of the search engine relevance work on Bing. There we got to play with huge amounts of data, with neural networks and other AI techniques, with massive server farms.
Big data is mostly about taking numbers and using those numbers to make predictions about the future. The bigger the data set you have, the more accurate the predictions about the future will be.
Every New Year comes with a list of predictions. Self-predictions, world predictions, how many times Lindsay Lohan will get arrested predictions, etc. I reserve the annual trend for people with genuine psychic ability and/or bloggers.
The important thing to know about playing to win and playing not to lose is that there are actually different neural networks that are being used. It's not very easy to do both at the same time and, if you are trying to have a playing to win mentality, you're going for it, there's some things that trip you up or trigger the wrong neural network. If you start worrying about your mistakes all of a sudden, if you get too focused on the facts and the details, these are going to shift your neural networks and sort of screw up your strategy.
I just thought making machines intelligent was the coolest thing you could do. I had a summer internship in AI in high school, writing neural networks at National University of Singapore - early versions of deep learning algorithms. I thought it was amazing you could write software that would learn by itself and make predictions.
Health care is not just another commodity. It is not a gift to be rationed based on the ability to pay. It is time to make universal health insurance a national priority, so that the basic right to health care can finally become a reality for every American.
It is not predictions but plans that make the future. If you want predictions, it is because you do not have the ability to make a plan and fulfill it.
If you take your kid in for the sniffles, you pay $20, but the full cost is $200. And so we need to get back to the price system where you see the full cost of health care, and then people will make smarter decisions. That will reduce health care costs, and it's a huge part of our economy.
I've obviously come from a health background. I was a doctor before I became a pollie and one of the things I'd like to do is to really build on the world-class health system we've got. I'm passionate about climate change because it's also a health issue. Things like extreme weather impact on people's health, the ability of our hospitals to cope, the impact on mental health, on farmers in regional areas - they're all serious health concerns.
Mention health in most companies, and the cost of health insurance is what comes to mind, not how the company can invest to prevent further escalation in societal health care costs.
The chronically ill and those toward the end of their lives are accounting for potentially 80% of the total health care bill out there. There is going to have to be a very difficult democratic conversation that takes place. The decision is not whether or not we will ration care. The decision is whether we will ration with our eyes open.
I will talk about two sets of things. One is how productivity and collaboration are reinventing the nature of work, and how this will be very important for the global economy. And two, data. In other words, the profound impact of digital technology that stems from data and the data feedback loop.
I want to make sure that when we're talking about health care, you want to make sure that women have the ability and access to health care so that they understand all the different options that are out there.
I think, as a filmmaker, my style of filmmaking is very well-suited to 3-D anyway, so it's not like I'm having to change a huge amount of the way I shoot to work in 3-D. I think you could probably dimensionalize some of my movies and they would make very good 3-D films.
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