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3 Tech Advances That Will Change Pcs Forever

IBM has posted the videoof Gil’s talk and it is fairly short (~ 30 min) and worth watching to get a flavor for IBM’s vision of the future of computing. A portion of Gil’s wide-ranging comments, lightly edited and with apologies for any garbling, and a few of his slides are presented below. “There’s a dimension of that has to do with hardware innovation and there’s another dimension that has to do with algorithmic innovation. If you look at some very state of the art models, you can see some of the plot in terms of petaflops per day for training from examples of recent research work as a function of time.

By contrast, 72% express some level of worry about this concept – with 25% describing themselves as very worried. I see it as a privilege in my job to be able to deal with questions that are beyond our powers of imagination. We can describe the result of inconceivable experiments and can even build machines that do inconceivable things. With the aid of quantum computers, we could develop new materials that would enable us to store huge amounts of energy in a very small space. Electric cars would be a walk in the park, and it might even be possible to generate solar energy in the desert and send it to Europe in small parcels.

But despite these pronounced differences toward this aspect of the workforce automation debate, partisan opinions are much more aligned on the question of whether or not businesses should be limited in the number of human jobs they can replace with machines. Just over half of Republicans (54%) feel that there should be limits to how many human jobs businesses can replace with machines, only slightly less than the 60% of Democrats who hold this view. The most prominent differences in Americans’ views of these concepts relate to political affiliation. On the other hand, there are no major partisan differences in support for limiting machines to dangerous and dirty jobs, or for giving people the option to pay extra to interact with a human rather than a robot in commercial transactions. Smaller shares of Americans anticipate a variety of positive outcomes from this scenario. Most prominently, just 25% of Americans expect that the economy will create many new, well-paying jobs for humans in the event that workforce automation capabilities become much more advanced than they are today; three-quarters (75%) think this is not likely to happen.

Faced with the fluorescence of innovative products that we can find in the market today, some would say that the future is already happening at the tips of our fingers. But the development of new technologies indicates that what we saw in the early 21st century represents only the first steps of a period that, perhaps in the distant future, could be understood as a true coral reef for machines. It’s a fertile, lively, high-moving ecosystem that must totally transform the meaning we attach today to the word “computer.” To do so, organizations must conceive proofs of concept that are impactful enough to illustrate quantum computing’s potential but small enough that their conclusions can be verified through the use of traditional computing. Quantum computers are so complex, and so nascent, that there currently are only a few hundred highly skilled technologists on Earth who have the knowledge and expertise to actually program them.

In order to gain the quantum edge, first-movers must therefore know where to find them and how to partner with them in ways that seed learning and growth. Roughly eight-in-ten Americans (79%) think it’s likely that within 20 years doctors will use computer programs to diagnose and treat most diseases, with 21% expecting that this will definitely happen. Smaller majorities of Americans expect that most stores will be fully automated and involve little interaction between customers and employees, or that most deliveries in major cities will be made by robots or drones rather than humans (65% in each case). Conversely, fewer Americans (43%) anticipate that people will buy most common products simply by creating them at home using a 3-D printer. ▸ How humans interface with computers has evolved from keyboards and mice, to touchscreens, to the relatively recent speech recognition.

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