Deep Tech: Demystifying the Breakthrough Technologies That Will Revolutionize Everything

Six years later, I built my own similar workshop for a few hundred dollars, with a staff of zero. I bought an Oculus Quest from Best Buy, downloaded some CAD software, bought a 3D printer from Amazon, and built an IoT service connecting the two by following a YouTube video. I have no experience in CAD, no training in electronics, nor fabrication. I

Author Kurt Vonnegut once said, “We are what we pretend to be, so we must be careful about what we pretend to be.”

Normally, proctoring takes days of planning and travel for just a fifteen-minute consult. This single project allowed the best specialists in the world to consult with dozens of cohorts in a day rather than just one or two a month and at a fraction of the cost.

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.

Beyond virtual reality, mixed reality is also a valuable tool for extending real-life experiences into the past. We can save historical sites like Pompeii from being littered with informational plaques and navigation signs, offering augmented digital information instead. It’s a new form of travel, where ancient sites may be experienced as they were

“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?”

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

understanding and building a deep tech strategy is the single greatest competitive opportunity of this decade.

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).