Originally published in The Markup, Sept 30, 2021. A huge but little-known industry has cropped up around monetizing people’s movements. Companies that you likely have never heard of are hawking access to the location history on your mobile phone. An estimated $12 billion market, the location data industry has many players: collectors, aggregators, marketplaces, and location
Webinar: The Data Model Strategy: Make Analytics Work for Your Business, Not the Other Way Around Speaker: Declan Owens, Digital Analytics Expert at Piano (more…)
Originally published in The Sydney Morning Herald, Aug 12, 2021. When Cate Campbell touched the wall ahead of American Abbey Weitzeil in the final leg of the women’s medley relay in Tokyo, it signified the end of...
Originally posted to Twine.net, July 30, 2021. At Twine, we specialize in helping AI companies create high-quality custom audio and video AI datasets. During conversations with clients, we often get asked if there are any off-the-shelf audio and...
Originally published in Wired, July 24, 2021. Omega, the official timekeeper of the Games, is now using computer vision and motion sensors for events like swimming, gymnastics, and beach volleyball. Timing of Olympic races has not always...
Originally published in Fast Company, July 23, 2021. With the loosening of COVID-19 restrictions and the end of summer quickly approaching, schools are preparing to welcome students back into their classrooms for in-person learning. With that transition...
Originally published in Bloomberg, July 8, 2021. In the latest bid to curb video-game addiction in China, tech giant Tencent Holdings Ltd. has launched a facial recognition system to stop minors gaming into the night. The initiative will prevent...
Originally published in The Verge, June 29, 2021. GitHub and OpenAI have launched a technical preview of a new AI tool called Copilot, which lives inside the Visual Studio Code editor and autocompletes code snippets. Copilot does more...
Originally published in Google AI Blog, May 4, 2021. A common practice to improve a neural network’s performance and tailor it to available computational resources is to adjust the architecture depth and width. Indeed, popular families of neural...
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