Japanese companies showed up at SXSW with a handful of concepts for the future, including Lunavity, a jetpack designed to help the wearer jump higher and farther. It simulates jumping in a low-gravity space -- hence the lunar namesake -- and opens up new sports possibilities. One developer specifically mentioned quidditch, for instance. The project itself is called Open Meals, and the goal is to digitize different foods and then have robots recreate those recipes anywhere in the world (or in space, as the marketing video demonstrates). The food itself will be constructed out of a gel that can take on a variety of textures.
How about 3D-printed sushi that looks like it belongs in an 8-bit video game? At SXSW, Open Meals showed off a "Pixel Food Printer" that 3D prints edible pixelated sushi. SEE ALSO: Elon Musk drops epic Falcon Heavy launch trailers made by'Westworld' co-creator The guys at Open Meals want to do for food what Apple did for digital music: make it easy to download -- or in this case "teleport" -- food from anywhere in the world. Food Base is basically the iTunes of 3D printable food. To achieve this, they've created two key components.
How do you study the world's more widespread predator? When a team of researchers set out to see how prevalent industrial fishing was around the world--who was fishing where and when--they were met with a dearth of information. They lacked access to vessel monitoring systems closely held by regional fishery managers, says Juan Mayorga, a marine data scientist from National Geographic's Pristine Seas project. And that information would have shown only pieces of the puzzle. To circumvent this obstacle, Mayorga and a team of researchers took a step back--way back--and tracked marine vessels from space, using satellites to learn where industrial fishing vessels fished and when.
Machine learning and vision startup Aquabyte announced Tuesday that it has raised $3.5 million in seed funding in order to build out a team of developers to refine its software, which is geared toward using machine learning and vision to reduce costs for fish farming. The round was co-led by Costanoa Ventures and New Enterprise Associates. Princeton University and other investors also participated in the round. The main purpose of the round is to help the company build out a team to develop its technology, both at its headquarters in San Francisco as well as Norway, where the company is working with pilot customers. The company is also focused on Norway because there's significantly more fish farming there than there is in the United States.