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Ever wondered what happens to old electrical cables?” A cable recycling machine cuts, strips, and separates copper or aluminum from insulation with high precision. Using vibration and air separation, it recovers valuable metals with minimal waste—turning discarded cables into reusable resources. Efficient, eco-friendly, and built for a sustainable future.

329,465 次观看 • 5 个月前 •via X (Twitter)

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🚨 SCIENTISTS JUST TURNED WET COFFEE GROUNDS INTO COAL-LIKE FUEL IN 90 SECONDS WITHOUT DRYING IT FIRST. Researchers in South Korea have developed a plasma-based system that converts moisture-rich coffee waste directly into high-energy biochar. The process uses flame plasma (reaching 1,470–1,650°F) to trigger rapid carbonization through a “popcorn effect,” where steam bursts inside the grounds break apart the structure and accelerate the reaction. In under two minutes, the system produces a carbon-rich material with an energy content of 29.0 MJ/kg comparable to anthracite coal while tripling the fixed carbon content and completely removing sulfur compounds. Why this matters: • Most biomass conversion methods require energy-intensive pre-drying, which this process eliminates • The resulting biochar has a much higher heating value and surface area, making it useful as fuel or for activated carbon applications • It generates minimal smoke and tar compared to traditional methods • The technology could work on other high-moisture wastes like food waste, sewage sludge, and agricultural residues The deeper implication: This represents a fast, potentially decentralized way to turn problematic organic waste into valuable resources. Instead of spending energy and money drying biomass before processing, the moisture itself becomes part of the solution. If scaled, technologies like this could help close the loop on organic waste streams while producing renewable solid fuels or advanced carbon materials with far less processing time and cost than current methods. It’s a clever example of working with the properties of waste rather than fighting them. How useful do you think rapid, drying-free waste-to-fuel systems like this could be for industries or cities dealing with large volumes of organic waste? Follow for more frontier energy and materials recycling breakthroughs.

TheNewPhysics

84,583 次观看 • 29 天前

🚨 SCIENTISTS JUST BUILT A CHIP THAT CAN SEE, THINK, AND REMEMBER ALL AT THE SAME TIME. And it works more like a biological brain than a traditional computer. Researchers at RMIT University have created a neuromorphic vision chip that mimics the human eye and brain. Unlike conventional systems that capture images and send data to external processors, this chip performs sensing, processing, and memory storage directly where the light hits. The active layer is thousands of times thinner than a human hair. It uses doped indium oxide to detect light, process the information on-chip, and retain what it sees over time without constant electrical refreshing. Why this matters: • It dramatically cuts energy use and latency by eliminating data transfer to separate processors • Enables much faster real-time decision making for autonomous systems • Works more like biological vision than traditional machine vision • Could power the next generation of efficient edge AI in vehicles, robots, and remote sensors The deeper implication: For decades, we’ve built vision systems by bolting cameras, processors, and memory together like separate organs. This chip collapses those functions into one biological-style unit. It’s a step toward machines that don’t just “see” but actually perceive and remember in a more efficient, brain-like way. If scaled successfully, it could become a foundational component for autonomous systems that need to operate intelligently with minimal power and minimal delay. We’re moving from cameras that take pictures to chips that truly see. How do you think neuromorphic vision chips like this will change what’s possible for self-driving cars and autonomous robots? Follow for more frontier neuromorphic computing, AI hardware, and brain-inspired technology.

TheNewPhysics

23,196 次观看 • 1 个月前

🌎VerAI is leading the charge for a greener AI future! Traditional AI training in massive data centers burns through energy, emitting CO2 equivalent to thousands of cars.🚗☁️☁️ But VerAI changes the game by using idle CPU/GPU power from contributors’ PCs 💻 Starting from a waitlist base of 30K contributors, we’re tapping into resources already in use, slashing the need for energy-hungry servers and cutting carbon emissions while you earn $VERAI. With this growing community, we’re building a sustainable ecosystem that proves innovation doesn’t have to cost the planet. ☘️🌱🌞 🛠️On the tech side, our platform on Base layer-2 dynamically detects unused compute power in real time, ensuring efficient allocation for AI tasks. Contributors can monitor their impact and earnings hourly, while developers access affordable resources to build transparent AI. It’s a win-win: your PC powers the future of AI, and you get rewarded all with minimal environmental impact.🌲 📊Here’s a mind-blowing fact: If 750 million PCs globally joined VerAI, we could save approximately 62.95 million metric tons of CO2 per year by reducing reliance on energy-intensive data centers for AI training. This calculated estimate assumes 80% of global AI workloads shift to VerAI’s distributed network, using idle resources that would otherwise go to waste. That’s like taking 13.5 million cars off the road annually! Join the waitlist and help us make AI sustainable! 👉 #GreenAI #Earncrypto #BlockchainInnovation

VerAi

13,027 次观看 • 1 年前

🧐🇦🇪🇫🇷 The Most Advanced Mirage Ever Built Wasn't French When people think of the Mirage 2000, they think of France. But the most powerful and sophisticated version of this legendary fighter was built for the United Arab Emirates. Meet the Mirage 2000-9. Far more than a simple upgrade, the Mirage 2000-9 incorporated technologies developed for the Rafale, transforming the iconic fighter into one of the most capable 4th generation combat aircraft ever produced. Powered by the M53-P2 engine and equipped with the advanced RDY-2 multimode radar, the aircraft can simultaneously track multiple targets while conducting air to air and air to ground missions. Its arsenal is formidable: • MICA EM active radar guided air to air missiles • MICA IR infrared guided air to air missiles • Magic II short range air to air missiles • Black Shaheen long range cruise missiles • Laser guided bombs • Precision guided munitions • Conventional bombs • Air to surface missiles • Anti ship weapons • 30mm DEFA cannons The Mirage 2000-9 is also equipped with an advanced electronic warfare and self protection suite, allowing it to detect, jam, and evade enemy threats while operating deep inside contested airspace. With a combat radius stretching hundreds of kilometers and the ability to strike targets with precision, the aircraft became one of the most capable fighters in the Middle East. For years, it quietly stood as one of the region's most powerful air combat platforms, proof that even a design born in the 1970s could evolve into a world-class fighter. The Mirage 2000-9 wasn't just the final Mirage. It was the ultimate Mirage.

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20,240 次观看 • 5 天前

🚨 A MAJOR BARRIER TO TURNING CO₂ INTO USEFUL FUEL MAY HAVE JUST FALLEN. Scientists have developed a new catalyst that triples methanol production while solving a decades-old chemistry trade-off. For years, researchers trying to turn carbon dioxide into methanol (a valuable fuel and chemical feedstock) have faced an annoying trade-off: at lower temperatures the reaction is more efficient, but CO₂ is hard to activate. Raise the temperature to speed things up, and you get more unwanted carbon monoxide instead of methanol. A team at the Dalian Institute of Chemical Physics has now broken this deadlock. By redesigning the catalyst so that different reaction steps happen on spatially separated active sites, they achieved a space-time yield of 1.2 g of methanol per gram of catalyst per hour roughly three times higher than standard commercial Cu/Zn/Al catalysts. Why this matters: • Methanol from CO₂ is seen as a key route for carbon recycling and producing sustainable fuels and chemicals • The new design dramatically improves both activity and selectivity at the same time • It reduces the formation of carbon monoxide byproduct while keeping hydrogen dissociation efficient • This kind of catalyst improvement is essential if we want CO₂-to-fuel processes to become economically viable at scale The deeper implication: Converting CO₂ into useful products has always been limited by fundamental chemistry trade-offs. By cleverly separating reaction steps across different parts of the catalyst, this work shows we can overcome those limitations without needing extreme conditions or exotic materials. It’s a practical step toward making carbon capture and utilization more efficient turning one of our biggest waste products into something valuable instead of just burying it. We’re getting closer to catalysts that don’t force us to choose between speed and cleanliness. How important do you think breakthroughs like this will be for scaling up carbon-to-fuel technologies in the coming years? Follow for more frontier chemistry, catalysis, and carbon utilization research.

TheNewPhysics

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Boom! Grok Tasks Make It One Of The Most POWERFUL Real-Time AI Systems In The World. — My How to Use Grok Tasks With Hidden Tools For Powerful Daily Output. Grok Tasks are customizable AI workflows that integrate a variety of tools to streamline daily activities, from research and analysis to creative planning and problem-solving. I have been using them for quite sometime and because of the vital heartbeat of news and first person data on X, it is the most powerful AI platform available. By combining Tasks with tools like web searches, X platform interactions, code execution, and media viewers, you can build efficient, automated processes. These tasks work by prompting Grok with a clear description of what you want to achieve, and Grok will intelligently call the necessary tools in sequence or parallel to deliver results. Here's a step-by-step guide to creating and using Grok Tasks: Step 1: Define Your Task Start by clearly outlining the daily activity or goal. Consider what inputs you have (e.g., a URL, a query, or an attachment) and what output you need (e.g., a summary, calculation, or visual analysis). Break it down into subtasks to identify tool needs. For example, if your task involves researching current events, note that you'll need search and browsing capabilities. Step 2: Review Available Tools Familiarize yourself with the tools Grok can access. Here's a quick overview: - Code Execution: Run Python code for calculations, data processing, or simulations using libraries like numpy, pandas, or sympy. - Browse Page: Fetch and summarize content from any website URL with custom instructions. - Web Search: Perform general internet searches, returning results with optional operators like site:. - Web Search With Snippets: Get quick, detailed excerpts from search results for fact-checking. - X Keyword Search: Advanced search for X posts using operators like from:, since:, or filter:. - X Semantic Search: Find semantically related X posts based on a query, with filters for dates or users. - X User Search: Locate X users by name or handle. - X Thread Fetch: Retrieve a full X post thread, including context like replies and parents. - View Image: Analyze an image from a URL or conversation ID. - View X Video: Extract frames and subtitles from an X-hosted video. - Search PDF Attachment: Query a PDF file for relevant pages using keyword or regex modes. - Browse PDF Attachment: View specific pages of a PDF with text and screenshots. Select tools that align with your task. Aim for a mix to handle data gathering, processing, and visualization. Step 3: Craft Your Prompt Write a detailed prompt to Grok describing the task. Include: - The overall goal. - Specific steps or subtasks. - References to tools if you want to guide the process (e.g., "Use web_search to find sources, then code_execution to analyze data"). - Any constraints, like dates or limits. Example prompt: "Create a Grok Task for my morning routine: Search recent X posts about tech news using x_keyword_search, fetch a key thread with x_thread_fetch, and summarize with browse_page on linked articles." Step 4: Submit and Interact Send your prompt to Grok. It will process the task by calling tools as needed, often in parallel for efficiency. Review the output and refine with follow-up prompts if required (e.g., "Expand on that using view_image for visuals"). Iterate to fine-tune the workflow for reuse. Step 5: Save and Reuse Once refined, note the prompt as a template for future use. You can adapt it for similar tasks, making Grok Tasks a habitual part of your day. Finding Grok Tasks To discover existing Grok Tasks or inspiration for new ones, use X searches with tools like x_keyword_search or x_semantic_search (e.g., query: "Grok Tasks examples" with mode: Latest). Browse community-shared threads via x_thread_fetch, or web_search for tutorials on xAI features. Prompt Grok directly: "Show me popular Grok Tasks for productivity." 1 of 3

Brian Roemmele

152,242 次观看 • 6 个月前