Deep Tech: Demystifying the Breakthrough Technologies That Will Revolutionize Everything

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

Sometimes we want to analyze clusters of data (K-means) or reduce the dimensions or features in play (manifold learning) or convert from one type of data to another (autoencoding).

Ascape is one of many companies that provide 360-degree virtual experiences of famous locations from Serengeti

These seven technologies are general purpose technologies (GPT), which are those rare technologies that go beyond incremental improvements in a field or more than one field. Only a few dozen GPTs have emerged in history, such as the printing press, internal combustion engines, computers, and the internet.

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.

Google 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

Machine learning is not magic; it’s just multidimensional curve fitting.

In Gartner’s hype cycle, it’s called the trough of disillusionment. In venture capital or technologist parlance, we call it deep tech.

They want to build a world for you, an oasis you can escape to and live in, comprised of games, work, and of course, your social fabric. Facebook’s acquisition of Oculus VR was a clear evolution in this quest.

The 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).