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A lot of the progress in machine learning - and this is an unpopular opinion in academia - is driven by an increase in both computing power and data. An analogy is to building a space rocket: You need a huge rocket engine, and you need a lot of fuel.
The Internet creates as well as destroys. Social networks, search advertising, and cloud computing are multibillion dollar industries that didn't exist 10 years ago. They are products of the same force that has rendered the Postal Service's core business obsolete.
The immediacy of the mobile changes it from what we're accustomed to in the personal computing world to something that's instantaneous... What's interesting and powerful about the mobile environment is that it's connected to services on the Internet. This augments both platforms.
It is easy to predict that some of the discoveries of research directed towards Grand Challenges - but only the most unexpected ones, and at the most unexpected times - will be the basis of revolutionary improvements in the way that we exploit the power of our future computing devices.
Millennials, and the generations that follow, are shaping technology. This generation has grown up with computing in the palm of their hands. They are more socially and globally connected through mobile Internet devices than any prior generation. And they don't question; they just learn.
The 21st century has more potential than perhaps any other in our brief evolutionary history. We stand on the cusp of computing, genetic and energy generation breakthroughs that were only recently in the realm of science-fiction. A golden age of humanity is tantalisingly within our grasp.
The accumulated knowledge of materials, computing, electromagnetism, product design, and all the rest that we've learned over the last several centuries converts a few ounces of raw materials worth mere pennies into a device with more computing power than the entire planet possessed fifty years ago.
Cloud computing, smartphones, social media platforms, and Internet of Things devices have already transformed how we communicate, work, shop, and socialize. These technologies gather unprecedented data streams leading to formidable challenges around privacy, profiling, manipulation, and personal safety.
Items of interest will be located, identified, monitored, and remotely controlled through technologies such as radio-frequency identification, sensor networks, tiny embedded servers, and energy harvesters - all connected to the next-generation internet using abundant, low-cost, and high-power computing.
By 2020, most home computers will have the computing power of a human brain. That doesn't mean that they are brains, but it means that in terms of raw processing, they can process bits as fast as a brain can. So the question is, how far behind that is the development of a machine that's as smart as we are?
Internally, we're focused on building our own technology, leveraging all the momentum that's out there around wearable computing and mobile computing and PC computing. But at the end of the day, all the code we've written and all the invention we've created has been focused on our own tech and our own products.
As devices continue to shrink and voice recognition and other kinds of alternative user-interfaces become more practical, it is going to change how we interact with computing devices. They may fade into the background and just be around, allowing us to talk to them just as we would some other trusted companion.
People constantly face problems they've never seen before, and they have to solve them somehow. So a million people come up with a million solutions that are just a little bit different. If computing is being done by fewer resources, there will be enormous security gains by pushing things into standard practices.
One reason you should not use web applications to do your computing is that you lose control. It's just as bad as using a proprietary program. Do your own computing on your own computer with your copy of a freedom-respecting program. If you use a proprietary program or somebody else's web server, you're defenceless.
The way Moore's Law occurs in computing is really unprecedented in other walks of life. If the Boeing 747 obeyed Moore's Law, it would travel a million miles an hour, it would be shrunken down in size, and a trip to New York would cost about five dollars. Those enormous changes just aren't part of our everyday experience.
Before 'Dilbert,' I tried to become a computer programmer. In the early days of computing, I bought this big, heavy, portable computer for my house. I spent two years nights and weekends trying to write games that I thought I would sell. Turns out I'm not that good a programmer, so that was two years that didn't work out.
Computers and computing are all around us. Some computing is highly visible, like your laptop. But this is only part of a computing iceberg. A lot more lies hidden below the surface. We don't see and usually don't think about the computers inside appliances, cars, airplanes, cameras, smartphones, GPS navigators and games.
Did Google know much about media? Or Amazon about commerce? Tesla about cars? SpaceX about rockets? EBay about classifieds? What did I know about computing when I started Sun Microsystems? We should celebrate these entrepreneurs, not pillory them for fighting entrenched incumbent industries that have political influence and money.
Cloud computing means you are doing your computing on somebody else's computer. Looking ahead a little, I firmly believe cloud - previously called grid computing - will become very widespread. It's much cheaper than buying your own computing infrastructure, or maybe you don't have the power to do what you want on your own computer.
I can see a day soon where you'll create your own college degree by taking the best online courses from the best professors from around the world - some computing from Stanford, some entrepreneurship from Wharton, some ethics from Brandeis, some literature from Edinburgh - paying only the nominal fee for the certificates of completion.