US tests radar that could link into Golden Dome to detect China, Russia threats
WASHINGTON, June 24 (Reuters) - The Pentagon has successfully tested a long-range radar in Alaska that can detect missile threats from Russia or China, and could someday serve as a sensor in the Golden Dome missile defense shield.
The Long Range Discrimination Radar successfully acquired, tracked, and reported missile target data, the Pentagon said on Tuesday. These are key tasks for Golden Dome, a $175 billion program aimed at protecting the U.S. and possibly allies from ballistic missiles.
The U.S. Defense Department's long-range radar in Central Alaska was built by Lockheed Martin (LMT.N), opens new tab as part of the existing Ground-Based Midcourse Defense missile defense system. The system is designed to increase the effectiveness of interceptors based in Alaska and California that are currently on standby to knock down incoming missiles launched by Iran or North Korea.
The U.S. Missile Defense Agency, alongside the U.S. Space Force and U.S. Northern Command, conducted the flight test at Clear Space Force Station, Alaska, on Monday.
During this test, a target developed by MDA was air-launched over the Northern Pacific Ocean and flew over 2,000 kilometers (1,243 miles) off the southern coast of Alaska where it was tracked by LRDR.
The Golden Dome missile defense shield aims to create a network of satellites to detect, track and intercept incoming missiles.
Inspired by Israel's Iron Dome, the Golden Dome program faces political scrutiny and funding uncertainty due to its projected cost. The shield is expected to be operational by January 2029, though experts question the timeline and budget feasibility.
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Daily Mail
an hour ago
- Daily Mail
Jannik Sinner's three-month drugs ban from tennis felt all too convenient, too light on the fading principle of strict liability... excuse those of us rooting for Carlos Alcaraz at Wimbledon, writes RIATH AL-SAMARRAI
This is a true story - a dog once ate my homework. Well, he clawed a couple of pages into a state of disrepair, but my geography teacher didn't quite buy that a border collie was solely responsible for late submission. Nor did a different teacher when the same pet peed on my sister's English essay. I miss that dog, a good boy mostly, but I also wonder what those teachers might have brought to the arbitration of doping disputes in elite sport.
The Guardian
an hour ago
- The Guardian
Sudden loss of key US satellite data could send hurricane forecasting back ‘decades'
The Department of Defense will halt a critical atmospheric data collection program at the end of June and has given weather forecasters just days to prepare, according to a public notice sent this week. Scientists that the Guardian spoke with say the change could set hurricane forecasting back 'decades', just as this year's season ramps up. In a National Oceanic and Atmospheric Administration (Noaa) message sent on Wednesday to its scientists, the agency said that 'due to recent service changes' the Defense Meteorological Satellite Program (DMSP) will 'discontinue ingest, processing and distribution of all DMSP data no later than June 30, 2025'. Due to their unique characteristics and ability to map the entire world twice a day with extremely high resolution, the three DMSP satellites are a primary source of information for scientists to monitor Arctic sea ice and hurricane development. The DMSP partners with Noaa to make weather data collected from the satellites publicly available. Noaa said the changes would not impact the quality of forecasting. However, the Guardian spoke with several scientists inside and outside of the US government whose work depends on the DMSP, and all said there are no other US programs that can form an adequate replacement for its data. 'We're a bit blind now,' said Allison Wing, a hurricane researcher at Florida State University. Wing said the DMSP satellites are the only ones that let scientists see inside the clouds of developing hurricanes, giving them a critical edge in forecasting that now may be jeopardized. 'Before these types of satellites were present, there would often be situations where you'd wake up in the morning and have a big surprise about what the hurricane looked like,' said Wing. 'Given increases in hurricane intensity and increasing prevalence towards rapid intensification in recent years, it's not a good time to have less information.' The satellites also formed a unique source of data for tracking changes to the Arctic and Antarctic, and had been tracking changes to polar sea ice continuously for more than 40 years. 'These are some of the regions that are changing the fastest around the planet,' said Carlos Moffat, an oceanographer at the University of Delaware who had been working on a research project in Antarctica that depended on DMSP data. 'This new announcement about the sea ice data really amounts to blinding ourselves and preventing us from observing these critical systems.' Researchers say the satellites themselves are operating normally and do not appear to have suffered any errors that would physically prevent the data from continuing to be collected and distributed, so the abrupt data halt might have been an intentional decision. 'It's pretty shocking,' Moffat said. 'It's hard to imagine what would be the logic of removing access now and in such a sudden manner that it's just impossible to plan for. I certainly don't know of any other previous cases where we're taking away data that is being collected, and we're just removing it from public access.' The loss of DMSP comes as Noaa's weather and climate monitoring services have become critically understaffed this year as Donald Trump's so-called 'department of government efficiency' (Doge) initiative has instilled draconian cuts to federal environmental programs. A current Noaa scientist who wishes to remain anonymous for fear of retaliation said that the action to halt the DMSP, when taken in context with other recent moves by the Trump administration, amounted to 'a systematic destruction of science'. The researcher also confirmed that federal hurricane forecasters were left unprepared for the sudden change with only a few days of notice. 'It's an instant loss of roughly half of our capabilities,' said the scientist. 'You can't expect us to make accurate forecasts and warnings when you take the useful tools away. It frankly is an embarrassment for the government to pursue a course with less data and just pretend everything will be OK.' Scientists said the decision to halt the DMSP will result in immediately degraded hurricane forecasts during what is expected to be an above-average season as well as a gap in monitoring sea ice – just as Arctic sea ice is hitting new record lows. 'This is a huge hit to our forecasting capabilities this season and beyond, especially our ability to predict rapid intensification or estimate the strength of storms in the absence of hurricane hunters,' said Michael Lowry, a meteorologist who has worked at Noaa's National Hurricane Center and with the Federal Emergency Management Agency. 'The permanent discontinuation of data from these satellites is senseless, reckless and puts at risk the lives of tens of millions of Americans living in hurricane alley.' The DMSP dates back to 1963, when the Department of Defense determined a need for high-resolution cloud forecasts to help them plan spy missions. The program, which had been the longest-running weather satellite initiative in the federal government, has since evolved into a critical source of information not just on the inner workings of hurricanes, but also on polar sea ice, wildfires, solar flares and the aurora. In recent years, the DMSP had struggled to maintain consistent funding and priority within the Department of Defense as it transitioned away from its Cold war mission. The only other nation with similar satellite capability is Japan, and messages posted earlier in June indicate that scientists had already been considering a switch to the Japanese data in case of a DMSP outage – though that transition will take time. Neither Noaa nor the Department of Defense specified exactly which service changes may have prompted such a critical program to be so abruptly halted. In a statement to the Guardian, Noaa's communications director, Kim Doster, said: 'The DMSP is a single dataset in a robust suite of hurricane forecasting and modeling tools in the National Weather Service portfolio. This routine process of data rotation and replacement would go unnoticed in past administrations, but the media is insistent on criticizing the great work that Noaa and its dedicated scientists perform every day. 'Noaa's data sources are fully capable of providing a complete suite of cutting-edge data and models that ensure the gold-standard weather forecasting the American people deserve.' One Noaa source the Guardian spoke to said the loss of DMSP's high-resolution data could not be replaced by any other existing Noaa tool. The Guardian has also reached out to the Department of Defense for further explanation and will update this story with any response.
Geeky Gadgets
2 hours ago
- Geeky Gadgets
Claude Designer 3.0 : Vibe Coding UI Workflow (No Code)
What if designing user interfaces could feel less like a grind and more like an inspired flow? With the release of Claude Designer 3.0, that vision is becoming a reality. This isn't just another design tool—it's a bold reimagining of how we approach UI creation. By combining cloud code, parallel tasking, and AI-driven insights, Claude Designer 3.0 introduces a workflow that's as dynamic as the designs it helps produce. Imagine generating multiple polished prototypes simultaneously or automating tedious tasks with a few lines of code. For designers tired of bottlenecks and rigid systems, this platform promises to be a fantastic option. AI Jason explore how Claude Designer 3.0 is reshaping the creative process from the ground up. You'll discover how parallel tasking accelerates ideation, why cloud code unlocks unparalleled customization, and how AI tools are empowering smarter, faster decisions. Whether you're a seasoned professional or just starting out, the innovations packed into this platform will challenge how you think about design workflows. But is it truly the ultimate tool for modern UI creation, or does it come with trade-offs? Let's unpack the possibilities and see how this new approach could transform your design journey. Claude Designer 3.0 Overview Parallel Tasking: Accelerating Design Processes One of the core innovations of Claude Designer 3.0 is parallel tasking, a feature that enables you to generate multiple design variations simultaneously. This capability eliminates the bottlenecks associated with traditional, single-threaded workflows, allowing you to explore diverse design styles and layouts in a fraction of the time. For example: Sub-agents can automatically produce several design options, such as minimalist layouts, modern interfaces, or Kanban-style applications, without requiring manual input for each variation. With multiple options generated at once, you can focus your efforts on refining the most promising designs and gathering actionable feedback. This approach not only accelerates prototyping but also ensures a broader range of creative possibilities, making the design process more dynamic and efficient. Cloud Code: Unlocking Advanced Customization The cloud code feature introduces a new level of flexibility and control to your design workflow. By using a dedicated ` file, you can automate repetitive tasks, define custom rules, and tailor workflows to meet the specific demands of your project. Key functionalities include: Extracting comprehensive design systems from existing user interfaces. Generating custom HTML outputs tailored to unique use cases or requirements. Refining outputs in real time based on immediate feedback from stakeholders or team members. This high degree of customization ensures that your designs are not only efficient but also adaptable to evolving project needs, allowing you to respond quickly to changes and deliver results that align with your vision. Claude Designer 3.0 Overview Watch this video on YouTube. Master Parallel Tasking for UI Design with the help of our in-depth articles and helpful guides. Multi-Branch Development with Git Work Trees Managing complex design projects often requires juggling multiple iterations and experiments. Claude Designer 3.0 simplifies this process through Git work trees, which allow parallel agents to work on different branches simultaneously. This feature is particularly valuable for isolating and testing various design elements, such as typography, color schemes, or layout structures. For instance: One branch can focus on refining typography, while another explores alternative color palettes or layout configurations. Once the most effective options are identified, they can be seamlessly merged into the main production branch, making sure a cohesive final product. This structured approach promotes organization and collaboration, even when managing multiple design iterations, making it easier to maintain consistency and quality across all aspects of your project. Design System Extraction and Iteration Claude Designer 3.0 excels in simplifying the extraction and iteration of design systems, such as color palettes, typography, and component libraries. By using JSON files and parallel sub-agents, you can quickly generate multiple UI variations from a single reference design, saving time and effort. For example: A design system extracted from a reference UI can be used to create mockups tailored to different user personas or specific use cases. Feedback-driven iterations ensure that the final product aligns with your project goals and meets user expectations. This iterative process not only enhances the quality of your designs but also ensures their relevance and adaptability, making it easier to meet the demands of diverse projects and audiences. AI-Powered Tools for Smarter Design Artificial intelligence plays a pivotal role in Claude Designer 3.0, offering tools that enhance both the speed and precision of your design process. The cloud code SDK allows you to build custom coding assistants capable of automating complex tasks, such as generating wireframes or high-fidelity mockups. Additionally, a new cursor extension provides real-time UI previews, allowing you to visualize changes instantly. Key benefits include: Faster design iterations, supported by AI-generated insights and recommendations that guide your decision-making process. Improved accuracy and quality of designs, achieved through automated processes that reduce the risk of human error. These AI-driven tools not only reduce manual effort but also empower you to make data-driven design decisions, making sure that your projects are both efficient and effective. Addressing Challenges and Driving Future Innovation While Claude Designer 3.0 offers numerous advantages, it is not without its challenges. Current limitations include occasional bugs and slower performance when handling particularly complex workflows. However, ongoing development efforts are focused on optimizing task execution and expanding support for production-level applications. Potential future enhancements include: Improved sandbox management for multi-branch workflows, allowing for more seamless experimentation and testing. More robust tools for managing intricate design tasks, allowing greater precision and control over complex projects. These updates aim to address existing limitations while further enhancing the platform's capabilities, making sure that it remains at the forefront of UI design innovation. Collaboration Through Open Source The open source nature of Claude Designer 3.0 fosters a collaborative ecosystem where designers and developers can contribute to the platform's evolution. By sharing tools, workflows, and best practices, you can collaborate with others to experiment with new ideas and provide valuable feedback that drives innovation. This collaborative environment offers: Opportunities to shape the future of UI design by contributing to the development of innovative tools and features. A platform for sharing knowledge and learning from the experiences of others in the community. By participating in this ecosystem, you can help ensure that Claude Designer 3.0 continues to evolve in response to user needs, fostering creativity and innovation across the industry. Empowering the Future of UI Design Claude Designer 3.0 exemplifies how technologies like cloud code, parallel tasking, and AI-driven tools can transform UI design workflows. By allowing faster iterations, multi-branch development, and real-time customization, the platform enables you to create high-quality designs with greater efficiency and precision. With ongoing improvements and a vibrant community of contributors, Claude Designer 3.0 is setting new benchmarks for UI design, making it an indispensable tool for professionals navigating the rapidly evolving landscape of digital design. Media Credit: AI Jason Filed Under: AI, Guides Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
