6+ min ago (284+ words) Bengaluru (Karnataka) [India], November 30 (ANI): Solar Defence & Aerospace Ltd (SDAL) on Sunday signed a collaborative agreement with CSIR-National Aerospace Laboratories (CSIR-NAL) for the design and development of a next-generation 150 kg class Loitering Munition - UAV (LM-UAV). According to the release, the signing ceremony was held at CSIR-NAL in Bengaluru, marking a strategic milestone in the country's push for self-reliant defence technologies. Also Read | Cyclone Ditwah Brings Vigorous Monsoon, Heavy Rainfall Across Tamil Nadu; IMD Issues Red Alert for Several Districts. Under the agreement, SDAL will work closely with CSIR-NAL to develop the LM-UAV, which will be powered by a Wankel engine designed by NAL that has already cleared CEMILAC certification for aircraft integration and flight testing. The UAV is designed to feature a very high level of indigenous content, including advanced payloads tailored to meet evolving operational requirements. Also Read | 8th Pay…...

10+ min ago (163+ words) Hello everyone! I want to show you how to run Cypress autotests in parallel if you use Allure reports for your project. You should have allure before running allure generate command. When we run all Cypress autotests in 1 thread, it spends ~1 minute 46 seconds and creates allure results. For creating allure report you can use allure generate allure-results-1 command. Result: allure-report: When we run all Cypress autotests in multiple threads, it spends ~39 seconds and creates allure results. For creating allure report you can use allure generate allure-results command. Result: allure-report You spend approximately 2 times less time, but get the same report. Full code you can find in this github repo. Thanks for reading this article! I hope it helps you to run your Cypress autotests in parallel with Allure reports. If something went wrong, let me know here, or you can…...

11+ min ago (77+ words) Last week I needed to find a conversation where I'd solved an auth bug. I knew it existed somewhere in my 2500 Claude Code sessions. claude --resume searches titles. The title was "Help Debugging". Helpful. 5 minutes of scrolling later, I gave up and rewrote the fix from scratch. So I built recall: Full-text search. Preview pane. Press Enter to resume. Windows Download from releases That's it. Start typing to search. Enter to jump back in....

12+ min ago (1180+ words) Did YOU spot some of the modern-day tech? IT'S the sci-fi movie that enthralled a generation of kids. Back to the Future celebrates 40 years this week " sober news for those who remember the film when it was first released on December 4 1985. At the time, Mikhail Gorbachev had just become Soviet leader, Queen fans were still talking about the band's electrifying performance at Live Aid and the long miner's strike had finally come to an end. The sight of Marty McFly " played by legend Michael J. Fox " in a futuristic flying car when the world still relied on noisy dial-ups to use the internet filled cinema-goers with awe. It was so popular that people queued around the block to get into the cinema. While we are still a long way from time-travel, the movie accurately predicted some of today's technology." Home Alone…...

12+ min ago (1136+ words) Did YOU spot some of the modern-day tech? IT'S the sci-fi movie that enthralled a generation of kids. Back to the Future celebrates 40 years this week " sober news for those who remember the film when it was first released on December 4 1985. At the time, Mikhail Gorbachev had just become Soviet leader, Queen fans were still talking about the band's electrifying performance at Live Aid and the long miner's strike had finally come to an end. The sight of Marty McFly " played by legend Michael J. Fox " in a futuristic flying car when the world still relied on noisy dial-ups to use the internet filled cinema-goers with awe. It was so popular that people queued around the block to get into the cinema. While we are still a long way from time-travel, the movie accurately predicted some of today's technology." We're all…...

13+ min ago (585+ words) Rich countries have been left in the dust by China in the clean energy industries that have dominated the past decade or so: solar panels, wind turbines, lithium-ion batteries, and electric vehicles. Still, you might have hoped they would take the lead in technologies of the future, such as clean hydrogen. Not so. To the extent that there is any life in the sector, it comes from blue hydrogen, typically produced by splitting fossil gas and then pumping the waste carbon dioxide underground to drive oil out of depleted wells. Cleaner green hydrogen, made by using renewable power to split molecules of water, is barely limping along. China, however, is a significant exception. It accounts for over half of the roughly 506,000 metric tonnes of green hydrogen production capacity in operation globally right now. A further 2.86 million tonnes is under construction…...

18+ min ago (617+ words) Originally published on Entropic Drift Over the past few weeks, I've been migrating Prodigy'my Rust-based AI workflow orchestration tool'to use functional programming patterns from Stillwater, a library I built for applicative validation and effect handling in Rust. The migration touched variable aggregation, environment access, and workflow execution. Not every change was revolutionary, but three patterns produced outsized benefits in testability, safety, and code clarity. This post breaks down each one with concrete before/after comparisons. The Problem: Prodigy's MapReduce workflows aggregate results from parallel AI agents. Before the migration, aggregation logic was scattered across custom merge implementations'each aggregate type (count, sum, average, etc.) had its own ad-hoc combination logic with no consistency guarantees. The Solution: Implement the Semigroup trait from Stillwater, which provides a single combine operation with a mathematical guarantee: associativity. This property means results can be combined in…...

22+ min ago (1130+ words) Three years ago, if someone needed to fix a leaky faucet or understand inflation, they usually did one of three things: typed the question into Google, searched YouTube for a how-to video or shouted desperately at Alexa for help. Today, millions of people start with a different approach: They open ChatGPT and just ask. I'm a professor and director of research impact and AI strategy at Mississippi State University Libraries. As a scholar who studies information retrieval, I see that this shift of the tool people reach for first for finding information is at the heart of how ChatGPT has changed everyday technology use. The biggest change isn't that other tools have vanished. It's that ChatGPT has become the new front door to information. Within months of its introduction on November 30, 2022, ChatGPT had 100 million weekly users. By late 2025, that figure…...

22+ min ago (143+ words) As software development continues to evolve, the need for collaboration between development teams (dev) and operations teams (ops) has become increasingly important. This is where DevOps comes in " a set of practices that aims to bridge the gap between these two traditionally separate groups. Before we dive into what DevOps is, let's take a look at some of the problems that exist in traditional dev and ops environments: DevOps is a cultural shift in the way software development and operations teams work together. Its primary goal is to ensure that these two teams are aligned and working towards the same objectives: Here are some key principles that underpin the DevOps philosophy: So what are the benefits of adopting a DevOps approach? Here are just a few: Implementing a DevOps approach requires careful planning and execution. Here are some strategies to…...

23+ min ago (770+ words) Audio's Invisible Battleground: Decoding Watermark Removal Imagine AI composing the perfect soundtrack, only to have it stolen and reused without credit. Watermarks, the digital equivalent of a signature, are supposed to prevent this. But what if those signatures can be erased? Welcome to the complex world of audio watermark removal. The core concept revolves around using AI to intelligently separate a watermark signal from its host audio. This isn't simply about noise reduction. It involves a carefully trained model learning the characteristics of the specific watermarking technique being used, and then surgically extracting it, leaving the original audio relatively untouched. Think of it like removing graffiti from a delicate painting " requiring precision and understanding of both the paint and the surface beneath. This isn't just about piracy; understanding watermark removal is crucial for evaluating watermark robustness and developing better defensive…...