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Researchers are developing a 5G-based backup system for GPS/GNSS, using 900-MHz signals from existing cell towers to provide strong, jam-resistant positioning and timing services. This system could roll out within three years and offer a cheaper, more secure alternative to satellite-based navigation.
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AI is exploding, but copper the metal powering all electrical systems is running out. A startup called Endolith uses specially selected microbes, guided by AI, to extract copper from low-grade ores more efficiently and sustainably than traditional mining.
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The future of wireless communication is today being sketched out in the skies and in space. A new generation of intelligent aerospace platforms—drones, airships, and satellites—will be part of tomorrow’s 6G networks, acting as, in effect, base stations in the sky. They’re expected to roll out in the early 2030s.
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Researchers in Hong Kong developed a quadruped robot with a multilayer terrain-mapping system that lets it crawl, climb, and jump over obstacles autonomously, improving navigation in complex environments.
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Scientists created a new quantum sensor that uses virtual particles and light–molecule hybrid states to detect extremely tiny molecular vibrations, enabling ultrahigh-sensitivity disease and contaminant detection.
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This issue celebrates how engineers work at mind-blowing scales from atoms to galaxies solving huge problems, visualizing complex ideas with infographics, and exploring humanity’s connection to the universe.
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Apple’s iPhone 17 Pro models now use vapor-chamber cooling a tiny sealed chamber with water that evaporates and condenses to better manage heat in thin, high-performance phones. This phase-change cooling is effective but challenging to manufacture in ultra-thin devices.
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EgoZero is a smart-glasses system that collects egocentric (first-person) data from humans to train robots, allowing robots to learn tasks without needing expensive robot-collected training data. It turns human movements into 3D point-space data so robots can generalize and perform household tasks more effectively.
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OpenAI released GPT-OSS, its first open-weight model since GPT-2, in two versions: 20B and 120B. The model uses the highly permissive Apache 2.0 license, allowing commercial use and derivative works without major restrictions. Although it isn’t fully “open source” because training data and methods aren’t disclosed, developers praise its performance, availability, and hardware support. GPT-OSS raises competitive pressure on other open-weight leaders like Meta’s Llama and Alibaba’s Qwen.
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Quantinuum achieved a major milestone in quantum computing by successfully running error-corrected universal quantum operations especially non-Clifford gates using high-quality magic states showing lower logical error rates than physical ones, marking a big step toward scalable fault-tolerant quantum computers.
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Chinese robotaxi companies like Baidu, Pony.ai, and WeRide are far ahead of Tesla in real, large-scale autonomous taxi operations, thanks to lower costs, tougher training environments, and faster deployment. Tesla’s new pilot in Austin is small compared to China’s growing fleets
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Researchers discovered a new temperature-controlled way to unlock a hidden mixed metallic–insulating state in the quantum material 1T-TaS₂, potentially enabling ultra-fast, energy-efficient electronics and in-memory computing without needing extreme cooling or lasers.
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Meta invested $14.3 billion in Scale AI because data labeling human or synthetic is essential for fine-tuning advanced “agentic” AI systems. These systems need high-quality evaluations to perform complex tasks, making the data-labeling industry crucial for AI’s future.
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Biochips made with living brain organoids could one day power AI systems with far less energy, mimicking the brain’s efficiency. Scientists are developing these organoid-based chips to learn, adapt, and even control robots, but major challenges remain before commercialization.
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A new METR study shows that LLM capabilities are doubling roughly every seven months, suggesting that by 2030, models may reliably complete month-long human tasks though real-world factors may slow this growth
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Sojourner was the first rover to explore Mars in 1997, while its identical twin, Marie Curie, stayed on Earth to help NASA test and plan the mission. Sojourner proved that small, low-cost robots could successfully explore other planets, inspiring future Mars rovers.
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Google’s upcoming Pixel Watch 3 feature uses AI to detect when a wearer loses their pulse and automatically calls 911 if they don’t respond. It correctly identifies about two-thirds of cardiac arrests while keeping false alarms very low.
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Researchers used sound to create special water wave patterns (like vortices and Möbius-like twists) that can move or trap floating objects. This could one day help clean oil spills, manipulate cells, or even produce energy using large-scale wave designs.
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Researchers have created the world’s smallest dissolvable pacemaker, tiny enough to be injected and designed to safely disappear after use. It offers a safer alternative to temporary pacemakers, especially for newborns with congenital heart defects.
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As transistors get smaller, chips produce more heat because Dennard scaling has ended. New technologies like backside power delivery and advanced cooling may help, but they also create new thermal challenges. Managing heat will require combining cooling, design, and semiconductor innovations.
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xMEMS has developed a tiny ultrasonic MEMS “fan-on-a-chip” that can fit inside optical transceivers to cool their DSPs. This reduces heat, improves signal reliability, and extends device lifespan important for massive AI data centers.
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Scientists developed a new technique called DISP, which uses focused ultrasound to 3D-print soft materials inside the body without surgery by turning injected bio-ink into gel structures. It could help in cancer treatment, tissue repair, and implanting medical devices.
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Google DeepMind’s new AI, AlphaEvolve, discovered new mathematical results, improved algorithms, and optimized Google’s own systems all by evolving code using a genetic algorithm instead of traditional reinforcement learning.
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Surgical robots are rapidly evolving from simple assistants to autonomous systems capable of performing highly precise tasks like suturing soft tissue. The STAR robot developed at Johns Hopkins has shown that autonomous suturing can outperform human surgeons in consistency and accuracy. With advances in imaging, AI, and robotic control, autonomous surgery may soon become a standard part of medical care.
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Innatera’s new Pulsar chip is the world’s first commercial neuromorphic microcontroller. It mimics brain-like processing to deliver extremely low power consumption, fast responses, and efficient AI sensing for smart devices.
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The DCFlex Initiative is testing experimental methods to make data centers more adaptable to local power grids amid rising AI electricity demand. Three hubs in France and the U.S. will trial workload choreography, UPS-based power stability, and energy flexibility strategies, with the goal of supporting AI growth without stressing the grid
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Researchers have developed a brain-computer interface (BCI) that can decode neural activity to synthesize speech in real time for a man with ALS, restoring aspects of his natural voice and intonation, though it is still a proof-of-concept
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Darwin Gödel Machines (DGMs) are AI systems that improve their own coding using large language models and evolutionary algorithms. By keeping a population of agents and exploring multiple paths, they can write complex code and steadily improve, though they haven’t yet surpassed expert humans. While promising for productivity, safety and alignment remain key concerns.
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AI copilots like ChatGPT are changing how coding is taught in universities. Instead of focusing mainly on syntax, professors now emphasize problem-solving, debugging, testing, and software design. Students are using AI to understand concepts, explore solutions, and write code, but educators warn about overreliance and hallucinations. Teachers are redesigning courses to include group work, code walk-through videos, and lessons on ethics and bias. Overall, AI is shifting computer science education toward higher-level thinking and real-world skills.
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Researchers are developing earthworm-inspired robots that can burrow underground to install power lines more cheaply and safely. This bio-inspired method could reduce the high cost of undergrounding electrical infrastructure and avoid damage to existing utilities.
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AI companies like Anthropic, Google DeepMind, and OpenAI are creating new AI agents that can actually use your computer clicking, searching, and filling forms to help with tasks like booking flights or ordering groceries. These tools are still in early testing and limited to a few users. They can’t log in or enter payment details yet, and there are safety concerns like prompt injection attacks. But companies expect these agents to become widely available soon and change how people use computers.
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Amazon’s Kuiper and SpaceX’s Starlink are competing to give fast Internet from satellites. Starlink is far ahead with thousands of satellites, while Kuiper has only a few. More companies and countries are also planning to send many satellites into space. This can cause traffic in space and increase the risk of satellites crashing. Experts say companies must work together to avoid dangerous collisions.
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Amazon is transforming packaging and delivery using AI, machine learning, and robotics. Robots handle tasks like picking and packing items, using advanced sensors and gripping tools to manage products of all shapes and sizes. AI systems analyze millions of data points to choose the best packaging for each item, improving protection while reducing waste. Amazon has cut packaging weight by 43% since 2015 using “size-to-fit” custom box machines. Real-time data helps Amazon quickly adjust packaging decisions and improve efficiency. Sustainability and innovation drive the company’s growth, with continuous learning and new technologies shaping the future
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Boston Dynamics has retired the old hydraulic Atlas robot, but that doesn’t mean Atlas is gone. The company has already introduced a new and improved version, showing that the Atlas humanoid program is continuing with upgraded technology.
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A Hong Kong team created a low-cost, low-power MRI scanner that uses a small 0.05-tesla magnet and runs from a normal outlet. With AI, it produces clear full-body images like standard MRIs. It costs about $22,000 and needs no heavy shielding, making it portable and accessible for clinics with limited resources. Tests on volunteers showed high-quality images, offering a cheaper alternative to expand MRI access worldwide.
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AI has grown rapidly from Deep Blue in 1997 to today’s generative AI systems like ChatGPT. This progress is mainly thanks to better semiconductor technology smaller, faster, and more efficient chips. To keep improving AI, companies now combine many chips together using 3D stacking and advanced packaging. Future GPUs may have over 1 trillion transistors, allowing even bigger and more powerful AI models.
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The article “A Skeptic’s Take on Beaming Power to Earth from Space” by Henri Barde argues that space-based solar power, though appealing in theory, is far from practical due to immense technical, financial, and logistical challenges. Building massive orbiting solar stations to beam energy to Earth would cost hundreds of billions, face major efficiency losses, require unprecedented robotic assembly in space, and pose safety and debris risks. Despite renewed interest from global space agencies, Barde concludes that such projects are unrealistic for the foreseeable future and that investment should focus instead on improving terrestrial renewable energy and storage solutions.
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The article “Do We Dare Use Generative AI for Mental Health?” discusses experiments adding generative AI to Woebot, a mental health chatbot based on CBT. The authors found that while LLMs can make conversations more natural and empathetic, they must be tightly controlled to prevent errors or unsafe responses. In clinical testing, the AI-enhanced Woebot remained safe and effective, suggesting that with strict safeguards, generative AI could responsibly improve digital mental health support.
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Researchers are leveraging sound to create precise wave patterns on water, unlocking potential solutions for environmental challenges like oil spill cleanups. Could sound waves be the future of manipulating floating objects and generating clean energy? 🤔
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Techscribe is a concept in which we allow individuals from universities all around Sri Lanka to publish articles on Medium. This will create a platform for them to display their articles, research publications, etc. The articles will be collected through the Tech Emissary network.
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Based on IEEE Xplore articles and other reliable sources, showcasing in-depth research.
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