Deep Tech: Demystifying the Breakthrough Technologies That Will Revolutionize Everything
Eric Redmondamazon.comSaved by Alex Dobrenko and
Deep Tech: Demystifying the Breakthrough Technologies That Will Revolutionize Everything
Saved by Alex Dobrenko and
Microsoft wants the middle, where you integrate the real world with virtual experiences. Like Facebook and Google, Microsoft’s play aligns deeply with its corporate culture.
Tech isn’t what you do; it’s the underlying foundation to how you do what you do.
In Gartner’s hype cycle, it’s called the trough of disillusionment. In venture capital or technologist parlance, we call it deep tech.
A ‘Deep’ Technology was impossible yesterday, is barely feasible today, and may soon become so pervasive and impactful that it is difficult to remember life without. Deep Tech solutions are reimaginations of fundamental capabilities that are faithful to real and significant problems or opportunities, rather than to any one discipline.
“What seems natural to us is probably just something familiar in a long tradition that has forgotten the unfamiliar source from which it arose. And yet this unfamiliar source once struck man as strange and caused him to think and to wonder.” —Martin Heidegger
Author Kurt Vonnegut once said, “We are what we pretend to be, so we must be careful about what we pretend to be.”
Using hand gestures, he manipulated a 3D virtual object and sent it to a 3D printer, where it was fabricated in titanium. Though it was largely a demonstration, it gave an early glimpse of what modern 3D industrial design could be. Fast-forward a couple of years, and Ford Motor Company’s immersive vehicle laboratory started to demo how they design
... See moreGoogle wants to be your guide in the real world, and their flagship augmented reality device, Google Glass, is a pure distillation of the company’s goal to “organize the world’s information.” While Glass was famously a consumer failure, it still exists for enterprise use, and the high price tag will come down over time, making it more accessible. G
... See moreThe ability to recognize patterns in a set of noisy data is similar whether it’s through audio, images, video, electrical pulses, financial data, or many other signals. The mathematical representation of these data is called a tensor (think of it as a matrix containing other matrices).
“Walter, how are you going to get those robots to pay your union dues?” To which Reuther replied, “Henry, how are you going to get them to buy your cars?”