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Exploring the edge cases of artificial intelligence in 2020 - TechHQ
Artificial intelligence (AI) is at the top of the buzzword bingo reel in the world of tech, and for good reason. We're seemingly shifting from the era of businesses (and the public) talking about AI and marvelling at its mysterious power, to wondering how it can be used to best tackle real-world challenges day to day. That said, with the fine-tuning of the technology comes increasing attempts to exploit some of its frailties. So just how will the world harness, advance and protect AI technology within the year to come? Here are few of the more edge-case applications of AI taking place.
Adobe taps former Pixel exec to build a universal camera app
After leaving Google in March, Marc Levoy, the imaging expert who helped create some of the Pixel lineup's most important computational photography features, has landed at Adobe. In an email, the Photoshop-maker said Levoy will "spearhead company-wide technology initiatives focused on computational photography and emerging products, centered on the concept of a universal camera app." Precisely what that universal camera app will entail Adobe hasn't said yet. However, the company notes Levoy will work with its Photoshop Camera, Adobe Research, Sensei and Digital Imaging teams. As The Verge notes, Adobe's Photoshop Camera and Lightroom apps already include camera functionality.
How Recommendation Systems Have Transformed Over Years
Netflix and Prime have such engrossing content that keeps us glued to the screen all the time. There is a section on both of these platforms which displays the recommended content on the basis of the previous content that you have watched. These recommendations seem to be quite relevant to your watch history and the kind of content you would want to engage yourselves with. How this works in the background is by designing certain recommendation systems. Recommendation systems are a set of algorithms which give you recommendations based on your history.