How To: Faster Torrenting With a VPS Seedbox
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By Copernic · Posted
Vivaldi 8.1.4087.48 by Razvan Serea Vivaldi is a cross-platform web browser built for – and with – the web. A browser based on the Blink engine (same in Chrome and Chromium) that is fast, but also a browser that is rich in functionality, highly flexible and puts the user first. A browser that is made for you. Vivaldi is produced with love by a founding team of browser pioneers, including former CEO Jon Stephenson von Tetzchner, who co-founded and led Opera Software. Vivaldi’s interface is very customizable. Vivaldi combines simplicity and fashion to create a basic, highly customizable interface that provides everything a internet user could need. The browser allows users to customize the appearance of UI elements such as background color, overall theme, address bar and tab positioning, and start pages. Vivaldi features the ability to "stack" and "tile" tabs, annotate web pages, add notes to bookmarks and much more. Vivaldi 8.1.4087.48 changelog: [Chromium] Update to 150.0.7871.120 [Linux] Fails to start on Ubuntu 22.04 (VB-129829) [Tabs][Bookmarks] New tab from bookmark opens as a pinned tab if a pinned tab stack is active (VB-129634) Download: Vivaldi 64-bit | 140.0 MB (Freeware) Download: Vivaldi 32-bit | ARM64 View: Vivaldi Home Page | Screenshot Get alerted to all of our Software updates on Twitter at @NeowinSoftware -
By Mighty Pen · Posted
Go ahead -
By zikalify · Posted
Microsoft's Aurora 1.5 weather model could make hurricane predictions a lot better by Paul Hill Microsoft has just launched a major update for its open-access Aurora Earth-system foundation model, Aurora 1.5. This extension adds 22 new weather variables that are relevant to energy, agriculture, transport, and climate risk. Additionally, it provides hourly temporal resolution and probabilistic ensemble forecasting. If you have ever tracked a hurricane or typhoon, you might be aware that there are various forecasting models available. The best of the bunch are generally considered to be the European Centre for Medium-Range Weather Forecasts (ECMWF) ensemble models. Well, with Aurora 1.5, Microsoft claims its model outperforms on 88.9% of evaluated targets. This model also performs better against its previous version, with testing showing that the ensemble median achieved a one-third lower track error for tropical cyclones, such as Hurricane Helene. While open access to Aurora 1.5 is great news for researchers, agencies, companies, and civil society, Microsoft will also be integrating it into its commercial products such as Microsoft Weather. We all know that AI can give some dodgy outputs, so it wants to couple Aurora 1.5 with physics-based models, such as ECMWF, rather than replace them. The best cyclone forecasts are those that draw from multiple models, and drawing in Aurora 1.5’s predictions will just add more depth to the composite forecast, potentially helping to make people safer. You can read the model’s paper or head over to GitHub to download it. -
By Mindovermaster · Posted
I started using Vivaldi again after maybe 2-3 years. I dunno what I didn't like about them. Maybe Floorp was just a shade better. -
By zikalify · Posted
Google launches LiteRT.js to make AI and ML workloads faster in the browser by Paul Hill Google has just launched LiteRT.js, a new library that enables machine learning models to run locally within the web browser, bypassing the need for server-side processing. The firm said this will bring native AI performance to web browsers via its mobile-focused LiteRT runtime, though LiteRT.js also works on desktops. The new library uses WebAssembly and hardware acceleration such as WebGPU and WebNN to replace the slower TensorFlow.js, which uses a slower JavaScript-based kernel. The LiteRT runtime has been reserved for Android and iOS until now. With today’s update, Google is exposing the runtime via WebAssembly to turn the browser into a more capable platform for AI and ML workloads. The search giant claims that this new runtime delivers 3x greater speeds over existing solutions on current hardware. Specifically, it was tested on a 2024 Apple MacBook Pro with M4 Silicon. In the real world, for users on older hardware or using browsers with different engines, performance could vary significantly. For developers looking to switch over from TensorFlow.js, the process is straightforward. If you already have a .tflite file, you just need to switch your JavaScript runtime to LiteRT.js. However, if you have a TensorFlow/Keras SavedModel, then you can use the LiteRT Converter built into the Python TensorFlow package. You can read more about the conversion process on Google for Developers. Going forward, it will be interesting to see whether Google eventually sunsets or de-prioritizes TensorFlow.js in favor of LiteRT.js. It will also be interesting to see how it really performs on other hardware besides a MacBook. Source: Google
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