helix
elvis chipiro chose universal memory (From the 2005 list). The vision was of one memory technology to rule them all – flash, random-access memory and hard disk drives would be combined by a new method that relied on tiny structures called carbon nanotubes to store far more bits per square centimeter. Nantero, the company behind the technology, pitched it important fund and signed licensing partner But struggled to deliver A product on its stated timeline.
When Nantero tried to mass-produce its memory it faced challenges because small changes in the way the nanotubes were arranged could cause errors. It also proved difficult to maintain memory technologies that were already deeply embedded within the industry and well integrated into the fab.
light field photography (from the 2012 list), chosen by Cherry Tang, lets you take a photo and adjust the focus of the image afterward. You’ll never have to deal with a blurry picture again. To make this possible, startup Lytro had developed a special camera that captured not only the color and intensity of light but also the angle of its rays. It was the first camera of its kind designed for consumers. Nevertheless, the company Discontinued in 2018,
Public domain/Wikimedia Commons
Ultimately, Lytro was overtaken by well-established incumbents such as Sony and Nokia. The camera itself had a small display, and the images it produced were quite low resolution. Readjusting the focus in images using the company’s own software also requires a considerable amount of manual work. And smartphones—with their convenient built-in cameras—were becoming ubiquitous.
Over the years many students have selected project loon (from the 2015 list) – Google Company completed field testing in several countries and also provided emergency internet service In Puerto Rico after Hurricane Maria. But at the behest of Google in a blog post That “the road to commercial viability has proven longer and riskier than expected.”
Sean Lee, my Class of 2025, saw the reason for its flop in the company’s mission: Project Loon operated in low-income areas where customers had limited purchasing power. There were also some significant business constraints that may have slowed growth – the company relied on partnerships with local telecommunications providers to deliver service and had to obtain government approval to navigate national airspaces.
Andrzej Sokolow/Picture-Alliance/dpa/AP Images
Although this specific project did not come to fruition, the overall goal of making the Internet more accessible through high-altitude connectivity has been pursued by other companies, most notably Starlink with its constellation of low-orbit satellites. Sometimes a company has the right idea but the wrong approach, and a company with a different technology could make more progress.
As part of this classroom exercise, we also ask students to choose one technology from the list that they think may flop in the future. Here too, his tastes can be quite dazzling.
Lynn Grosso chose Synthetic data for AI (2022 pick), which means using AI to generate data that mimics real-world patterns to train other AI models. Although it has become more popular as tech companies run out of real data to feed their models, she points out that the practice can cause harm. model collapseAI models are trained on specially generated data and eventually break the connection to data pulled from reality.
