Researchers at the Massachusetts Institute of Technology developed a method to produce holograms instantaneously. The method relies on deep learning and can be run on a smartphone. The team used deep learning to accelerate computer-generated holography, allowing for real-time hologram generation. The researchers designed a convolutional neural network and built a custom database of 4,000 pairs of computer-generated images. To create the holograms in the new database, the researchers used scenes with complex and variable shapes and colours, with the depth of pixels distributed evenly from the background to the foreground, and with a new set of physics-based calculations to handle occlusion.

MIT researchers have used AI to predict which technologies are rapidly improving -- and which ones are overhyped. In a new study, the team quantitatively assessed the future potential of 97% of the US patent system. The fastest-improving domains were predominantly software-related. They then converted their findings into an online system in which users can enter keywords to find improvement forecasts for specific technologies. Their research could give entrepreneurs, researchers, investors, and policy-makers clues about the future opportunities in tech.