Automatic object recognition in images is currently tricky. Even if a computer has the help of smart algorithms and human assistants, it may not catch everything in a given scene. Google might change that soon, though; it just detailed a new detection systemthat can easily spot lots of objects in a scene, even if they're partly obscured. The key is aneural network that can rapidly refine the criteria it's looking for without requiring a lot of extra computing power. The result is a far deeper scanning system that can both identify more objects and make better guesses -- it can spot tons of items in a living room, including (according to Google's odd example) a flying cat. The technology is still young, but the internet giant sees its recognition breakthrough helping everything fromimage searches through to self-driving cars. Don't be surprised if it gets much easier to look for things online using only vaguest of terms.
eGym , the Munich-based startup that offers cloud-connected gym equipment and supporting cloud software and app for the fitness training floor, has closed $45 million in Series C funding. The round was led by new investor HPE Growth Capital, while existing investors, including Highland Europe, also participated. The problem that eGym is looking to solve is that, whilst gyms have moved from a bodybuilder market to a mass market in the last 20 years, the technology in gyms lags behind. That’s despite the fact that better use of technology can help to reduce customer churn, the biggest pain-point of both gym operator and gym users. Comprising of an app for both gym user and trainer, combined with the company’s connected strength machines, the eGym Cloud makes it possible for gym members to receive better fitness instruction and an evolving and personalised fitness plan based on data collected as they workout. And by providing a better workout feedback loop, gym goers can get an i...
Comments
Post a Comment