Media
Reddit snaps up TikTok rival Dubsmash
Reddit has acquired short-form video platform and TikTok rival Dubsmash for an undisclosed sum, the companies announced. Dubsmash will keep its current platform and brand, while Reddit will integrate Dubsmash's video creation tools. "Dubsmash provides a welcoming platform for creators and users who are under-represented in social media," Reddit said. The site boasted over a billion video views per month in January 2020, according to TechCrunch. Back in 2015, though, Dubsmash was best known as a lip-syncing app you could use to create, but not post, videos.
Infographic: AI, Robotics Continue to Turn Sci-Fi into Reality - Robotics Business Review
Artificial intelligence has granted our minds clearance to be children again, but only to reflect on the gadgets from our favorite science fiction books, movies, and television shows that have made their way into reality. You may find it beneficial to bust out a few stretches before reading, as this trip down memory lane may leave you feeling a bit old. The Jetsons, which debuted 57 years ago this week, is often cited when people talk about the future of robots, flying cars, and other household technology. Like The Simpsons, The Jetsons often made predictions of the future with different technologies, such as a household robot or video phone. With new AI tech like Facebook Portal, iRobot Roomba, the world's first robotic vacuum, and Moley Robotic Kitchen, we can live in 2062 far ahead of its time.
Combining Visual and Textual Features for Semantic Segmentation of Historical Newspapers
Barman, Raphaël, Ehrmann, Maud, Clematide, Simon, Oliveira, Sofia Ares, Kaplan, Frédéric
The massive amounts of digitized historical documents acquired over the last decades naturally lend themselves to automatic processing and exploration. Research work seeking to automatically process facsimiles and extract information thereby are multiplying with, as a first essential step, document layout analysis. If the identification and categorization of segments of interest in document images have seen significant progress over the last years thanks to deep learning techniques, many challenges remain with, among others, the use of finer-grained segmentation typologies and the consideration of complex, heterogeneous documents such as historical newspapers. Besides, most approaches consider visual features only, ignoring textual signal. In this context, we introduce a multimodal approach for the semantic segmentation of historical newspapers that combines visual and textual features. Based on a series of experiments on diachronic Swiss and Luxembourgish newspapers, we investigate, among others, the predictive power of visual and textual features and their capacity to generalize across time and sources. Results show consistent improvement of multimodal models in comparison to a strong visual baseline, as well as better robustness to high material variance.
How to Build Technology that Feels Like a Friend
Recently, I needed to book a lunch meeting. To help coordinate, I asked Amy to assist and cc'd her on the email. "Amy," I wrote, "please help us find a time to meet. Let's plan for sushi at Tokyo Express on Spear Street." Amy looked at my calendar, found an open time suitable for everyone invited, and booked the meeting.