Visual intelligence company AnyClip announced today the closing of a new $47 million round of investment, bringing total funding to date to $71 million. The round was led by JVP, with participation from La Maison, Bank Mizrahi and internal investors. Covid-19 lockdowns accelerated video production, dissemination and viewership, driving AnyClip to 600% growth in 2020, according to President and CEO Gil Becker. AnyClip is introducing today the first fully automated and centralized platform for video management, distribution, contextualization and analytics, and monetization, all powered by AI. Understanding video is one of the most challenging problems in AI, primarily because of the lack of data that captures the essence of the video content.

Boston Calling is bringing in some of the biggest names in rock and roll -- including Rage Against the Machine and the Foo Fighters -- to headline the music festival when it returns in 2022 after being canceled twice due to the coronavirus pandemic. The acclaimed three-day music festival will return to Allston next Memorial Day, giving top billing to the iconic rock band and a lineup that includes more than 60 performers. An additional headliner will be revealed in the coming months. Eager fans can purchase a limited number of early bird three-day tickets on sale now by visiting bostoncalling.com. Foo Fighters and Rage Against the Machine were both set to headline the 2020 edition of Boston Calling before the festival was canceled due to the pandemic.

Bond is moving into the house Bezos built. After a week of speculation, today Amazon announced it had indeed made a deal to buy MGM, the studio home of Rocky, RoboCop, and, yes, James Bond. The deal, worth $8.45 billion, is the second-largest Amazon acquisition yet, second only to its $13.7 billion purchase of Whole Foods in 2017. It's also the latest power move in an ongoing battle for turf in the streaming wars, one that signals what streaming services will need to do to ultimately triumph--or at least survive. In the olden days--OK, 2008--streaming services mostly offered content licensed from other studios.

They're called the Sampo Generation: South Koreans in their 20s and 30s who have given up (po) three (sam) of life's conventional rites of passage -- dating, marrying and having children. They've made these choices because of economic constraints and in the process have worsened South Korea's demographic imbalances. Last year, when the country registered more deaths than births for the first time in recent history, then-Vice Finance Minister Kim Yong-beom pronounced the milestone a "death cross." "I Live Alone" is one of South Korea's most popular reality TV shows. It follows the single lives of movie actors and K-pop singers engaging in mundane activities such as feeding their pets or eating ramen in the middle of the night -- all alone.

A community reveals the features and connections of its members that are different from those in other communities in a network. Detecting communities is of great significance in network analysis. Despite the classical spectral clustering and statistical inference methods, we notice a significant development of deep learning techniques for community detection in recent years with their advantages in handling high dimensional network data. Hence, a comprehensive overview of community detection's latest progress through deep learning is timely to both academics and practitioners. This survey devises and proposes a new taxonomy covering different categories of the state-of-the-art methods, including deep learning-based models upon deep neural networks, deep nonnegative matrix factorization and deep sparse filtering. The main category, i.e., deep neural networks, is further divided into convolutional networks, graph attention networks, generative adversarial networks and autoencoders. The survey also summarizes the popular benchmark data sets, model evaluation metrics, and open-source implementations to address experimentation settings. We then discuss the practical applications of community detection in various domains and point to implementation scenarios. Finally, we outline future directions by suggesting challenging topics in this fast-growing deep learning field.

They may be small, but the Audioengine A2 speakers feel reassuringly solid and well-made. The elegant design and matte satin black finish blend in easily on any desktop, or you can opt to stand out with a glossy red or white exterior. The left speaker has a volume dial that also clicks on the power and there's a pairing button for Bluetooth connections, but no remote is included. There's no separate subwoofer, either, though there is an output should you want to add one. The cabling is good quality and generous enough to allow for a sit-stand desk. We were instantly blown away by the power and punch of these speakers. Tested second to last, the jump in class was immediately obvious.

At any given moment, many thousands of new videos are being posted to sites like YouTube, TikTok, and Instagram. An increasing number of those videos are being recorded and streamed live. But tech and media companies still struggle to understand what's going in all that content. Now MIT alumnus-founded Netra is using artificial intelligence to improve video analysis at scale. The company's system can identify activities, objects, emotions, locations, and more to organize and provide context to videos in new ways.

While Daft Punk may have sadly split, machine-created music may be about to skyrocket in popularity. Not only are artificial intelligence neural networks now capable of creating original melodies, but scientists are also developing robots capable of playing – and improvising – live music. So, will AI and androids soon top the charts? And could they even replace human musicians entirely? On this week's episode of the Science Focus Podcast, Prof Nick Bryan-Kinns, director of the Media and Arts Technology Centre at Queen Mary University of London, joins staff writer Thomas Ling to explain groundbreaking new music technology.

As a tech company, you will always be looking for ways to develop. Using data science and artificial intelligence can be useful for this type of growth. While they share some similarities, there are also some differences between the two. You may be surprised to hear about the amazing benefits that AI offers for startups, especially those in the tech sector. You may have heard artificial intelligence being referred to as AI in countless movies and TV shows. In real life, it's used for creating improvement rather than turning on humanity, as it is so often shown to be doing on screen, even though this makes interesting viewing.

Stratyfy is pleased to announce its participation in critical research focused on improving the transparency and fairness of machine learning in the …