Glasp is a social online highlighter that allows users to annotate and organize web-based quotations and ideas in one place, share their learning, and access the annotated content of others with similar interests. In June of 2021, the Glasp team set out to create a platform that would make it easier for anybody to benefit from the knowledge and expertise of others. Glasp's ultimate goal is to make it possible to quickly and easily access all information from the highlighted parts of the world. You may highlight the original page in one of four colors with the help of the Glasp browser plugin (available for Chrome, Safari, Brave, Edge, Opera, and more). As well as importing notes and highlights from other services like Obsidian, Roam Research, Notion, and Readwise, you can export them to .txt,.md, .html,

Web browsers can be a single pane of glass for organizations to interact with their information--all of the tools can be viewed and accessed on one screen so that users don't have to switch between applications and interfaces. For example, a customer call center might have several different applications to see customer reviews, social media feeds, and customer data. Each one of these applications are interacted with through web browsers. If the information is in a language that the user doesn't speak, however, a separate application often needs to be pulled up to translate text. Web browser plugins enable customization of this user experience.

Want to improve this question? Update the question so it focuses on one problem only by editing this post. I am developing a browser plugin with javascript. I want to stream real-time browser data to a machine learning model and get real-time predictions.

A judge's porn preferences and the medication used by a German MP were among the personal data uncovered by two German researchers who acquired the "anonymous" browsing habits of more than three million German citizens. "What would you think," asked Svea Eckert, "if somebody showed up at your door saying: 'Hey, I have your complete browsing history – every day, every hour, every minute, every click you did on the web for the last month'? How would you think we got it: some shady hacker? It was much easier: you can just buy it." Eckert, a journalist, paired up with data scientist Andreas Dewes to acquire personal user data and see what they could glean from it.

We present Kinect@Home, aimed at collecting a vast RGB-D dataset from real everyday living spaces. This dataset is planned to be the largest real world image col- lection of everyday environments to date, making use of the availability of a widely adopted robotics sensor which is also in the homes of millions of users, the Mi- crosoft Kinect camera.