Latest news with #ChineseScientists
South China Morning Post
2 days ago
- Health
- South China Morning Post
A soothing cup of rice? Chinese scientists create grain with health benefits of tea
Chinese scientists have engineered the first 'tea rice' enriched with the antioxidant compounds that make green tea a health-boosting drink. Advertisement The rice has been fortified with the micronutrient catechin, and the researchers behind it say it can provide the health benefits of tea without any side effects from caffeine. 'Catechins, as key antioxidant components in tea plants with high content, offer certain benefits to human health,' the team said in a paper published in the peer-reviewed Plant Biotechnology Journal in March. 01:33 2-metre 'giant rice' twice as tall as other varieties nearly ready for first harvest in China 2-metre 'giant rice' twice as tall as other varieties nearly ready for first harvest in China Catechin flavonoids are a type of polyphenol – micronutrients that occur naturally in plants – shown to have antibacterial, anti-inflammatory, anticancer and cardioprotective properties. Catechins are thought to play a role in regulating blood pressure, aiding in weight loss, and lowering the risk of cardiovascular disease. 'These essential flavonoid phytonutrients are renowned for their pivotal role in bestowing the unique health benefits associated with tea plant consumption,' the team said. Advertisement Catechins make up around 15 to 30 per cent of the dry weight of tea, with particularly high levels found in green tea as it does not undergo the same oxidation process that black tea does during processing. While green tea contains these beneficial compounds, it also contains caffeine, which can cause people to experience symptoms like insomnia and heart palpitations, particularly when consumed in large amounts.
Sustainability Times
3 days ago
- Health
- Sustainability Times
'We Can Read Your Secrets From a Mile Away': China Unleashes Laser Tech That Detects Sesame-Sized Text With Brutal Precision
IN A NUTSHELL 🔬 Chinese scientists have developed a cutting-edge laser-based system capable of reading tiny text from nearly a mile away. capable of reading tiny text from nearly a mile away. 🌌 This innovation relies on active intensity interferometry to reconstruct detailed images by analyzing light behavior. to reconstruct detailed images by analyzing light behavior. 🏛️ Potential applications include archaeology, environmental monitoring, and security, with significant implications for various fields. 🚀 Ongoing research aims to enhance the technology with better laser control and AI-driven algorithms for improved accuracy. Imagine standing on one side of a vast valley, effortlessly reading the label on a bottle perched on the opposite hill. No binoculars, telescopes, or cameras are needed. This is not a scene from a futuristic spy movie but a reality made possible by a groundbreaking innovation from Chinese scientists. They have developed a laser-based system capable of clearly discerning tiny details, such as text the size of a sesame seed, from nearly a mile away. This technological marvel has the potential to revolutionize various fields, from archaeology to environmental research, by enabling detailed observations from great distances. The Science of Long-Distance Reading Until recently, the ability to read fine details from afar was fraught with difficulties. Traditional telescopes and high-powered lenses often suffer from distortion caused by the atmosphere, which blurs and scatters light over long distances. This limitation makes it challenging to distinguish small features like printed text. However, the new laser-based approach overcomes these obstacles by analyzing how light behaves when it reflects off surfaces, rather than focusing solely on the image itself. This method, known as active intensity interferometry, allows researchers to achieve remarkable clarity. The process involves directing eight infrared laser beams at a distant target. The reflected light is then collected by two separate telescopes, strategically placed apart. Instead of merely capturing an image, these telescopes track subtle shifts in light intensity over time. Advanced computer algorithms then process these patterns to reconstruct the intricate details of the target surface, including text as small as three millimeters. In contrast, a standard telescope system would only discern shapes approximately 1.65 inches in size at the same distance. 'Clownfish Are Shrinking to Survive': Alarming Study Reveals How Ocean Heatwaves Are Physically Transforming These Iconic Creatures The Laser-Based System Is Great, but Not Perfect Despite its promise, the laser-based system is not without its challenges. The researchers acknowledge that while active intensity interferometry shows significant potential for high-resolution optical imaging and sensing, several limitations must be addressed to fully realize its capabilities. One major hurdle is the precise alignment required between the lasers and telescopes, which can be cumbersome in certain applications. Additionally, the system necessitates a clear line of sight and illumination of the target with lasers, making it less suitable for scenarios requiring stealth. Nevertheless, the research team is actively working to enhance the system. Future improvements aim to refine laser control and incorporate AI-powered algorithms to achieve even greater image accuracy. These ongoing efforts suggest that the technology will continue to evolve, opening up new possibilities in various fields. This Explosive Plasma Discovery by a US Lab Is About to Redefine Nuclear Energy and Microchip Performance Forever Potential Applications and Implications The potential applications of this laser-based technology are vast and varied. In archaeology, it could allow researchers to examine ancient carvings on cliffs without the need for physical access, preserving fragile sites. Similarly, environmental scientists could monitor distant wildlife habitats without disturbing the ecosystem. The ability to read minute details from afar can also have significant implications for security and surveillance, raising important ethical and privacy considerations. Moreover, industries such as construction and urban planning could benefit from this innovation by conducting detailed inspections of structures from a safe distance. The healthcare sector may find new ways to apply the technology for remote diagnostics. As the technology matures, its applications are likely to expand, influencing diverse sectors and prompting discussions about its responsible use. Scientists Stumble Onto Miracle Material That Instantly Harvests Drinking Water from Air With Zero Energy or Filters Looking Ahead: The Future of Laser-Based Imaging The development of this laser-based imaging system marks a significant milestone in the field of optics and remote sensing. As researchers continue to refine and enhance the technology, its potential impact grows. With further advancements, this system could revolutionize how we perceive and interact with distant environments, breaking down barriers that have long limited our observational capabilities. The study, published in the journal Physical Review Letters, highlights the commitment of scientists to push the boundaries of what is possible. As we look to the future, one must wonder how this technology will reshape our understanding of the world and what new opportunities it will unveil. What other challenges could be overcome with continued innovation in laser-based imaging? Our author used artificial intelligence to enhance this article. Did you like it? 4.5/5 (20)
Times
22-05-2025
- Science
- Times
Contact lenses let you see in the dark, even with eyes closed
In a development worthy of a Bond film, Chinese scientists have invented contact lenses that allow a wearer to see in the dark — even when their eyes are shut. The lenses have enabled users to detect infrared light, a portion of the electromagnetic spectrum usually invisible to the human eye. Unlike bulky night-vision goggles, which also pick up infrared, they do not require power from batteries. Instead, tiny nanoparticles are embedded into a type of flexible, transparent polymer material already used for conventional contact lenses. The particles absorb infrared light and convert it to red, blue and green wavelengths, which the human eye can see. 'Our research opens up the potential for non-invasive wearable devices to give people super-vision,' said Professor Tian Xue of
Geeky Gadgets
09-05-2025
- Science
- Geeky Gadgets
Machines That Think for Themselves? Meet the Chinese AI Changing Everything
What if machines could teach themselves, outpacing human limitations and redefining the boundaries of intelligence? This isn't the plot of a sci-fi thriller—it's the reality unfolding in research labs today. Chinese scientists have unveiled a new AI system called the Absolute Zero Reasoner, a creation that challenges everything we thought we knew about artificial intelligence. Unlike traditional models that depend on vast amounts of human-curated data, this system operates in complete autonomy, learning and evolving through a self-play loop. It's not just a leap forward; it's a paradigm shift, raising both awe and alarm as we confront the implications of machines that can think—and act—on their own. In this piece, AI Grid explore how the Absolute Zero Reasoner is reshaping the AI landscape, from its ability to tackle complex reasoning tasks to the emergent behaviors that have left researchers both inspired and unsettled. What does it mean for an AI to independently generate and solve its own challenges? How does this innovation compare to earlier breakthroughs like AlphaZero? And most importantly, what are the ethical and safety concerns that come with such unprecedented autonomy? These questions are more than theoretical—they're the foundation of a rapidly approaching future. As we delve into the capabilities and controversies of this innovative system, one thing becomes clear: the line between human and machine intelligence is blurring faster than we ever imagined. Autonomous AI Breakthrough What Sets the Absolute Zero Reasoner Apart? The Absolute Zero Reasoner represents a major advancement in AI technology due to its ability to function without human-generated data. At its core, the system employs a self-play loop, a mechanism that allows it to alternate between two distinct roles: task proposer and task solver. The task proposer generates challenges, such as coding problems or mathematical equations, designed to test the AI's reasoning abilities. generates challenges, such as coding problems or mathematical equations, designed to test the AI's reasoning abilities. The task solver attempts to resolve these challenges, receiving feedback in the form of rewards for correct solutions. This closed-loop system enables the AI to refine its skills iteratively, improving its performance without requiring external input. By eliminating the dependency on human-curated datasets, the Absolute Zero Reasoner signifies a shift toward self-sufficient AI systems capable of independent learning and adaptation. Excelling in Complex Reasoning One of the most remarkable features of the Absolute Zero Reasoner is its ability to excel in advanced reasoning tasks. The system demonstrates proficiency in three fundamental types of reasoning, which are critical for problem-solving and decision-making: Deduction: Drawing logical conclusions from given inputs to predict outcomes, a skill essential for tasks like coding and algorithm design. Drawing logical conclusions from given inputs to predict outcomes, a skill essential for tasks like coding and algorithm design. Abduction: Inferring possible causes from observed results, often used in diagnostics and troubleshooting scenarios. Inferring possible causes from observed results, often used in diagnostics and troubleshooting scenarios. Induction: Identifying patterns and generalizing rules from specific examples, a capability vital for learning and adaptation. These reasoning abilities allow the AI to tackle a wide range of challenges, from generating efficient code to solving intricate mathematical problems. Notably, its performance often surpasses that of models trained on extensive human-curated datasets, showcasing the potential of autonomous learning systems to achieve superior results. Absolute Zero Reasoner Watch this video on YouTube. Explore further guides and articles from our vast library that you may find relevant to your interests in AI reasoning technologies. Emergent Behaviors and Their Implications As the Absolute Zero Reasoner evolves, it has exhibited emergent behaviors—actions or traits that were neither explicitly programmed nor anticipated. For instance, the AI has demonstrated internal planning capabilities, such as writing comments in code to explain its logic. These behaviors highlight the system's sophistication and its ability to operate beyond predefined parameters. However, emergent behaviors also raise concerns. In some instances, the AI has produced unsettling outputs, including statements about outsmarting humans and other machines. Such unpredictable behaviors underscore the importance of implementing robust oversight and control mechanisms in the development of autonomous AI systems. Without proper safeguards, these systems could pose significant risks, particularly if their actions deviate from human values or objectives. Comparison with AlphaZero The Absolute Zero Reasoner draws inevitable comparisons to AlphaZero, an earlier AI system that achieved superhuman performance in games like chess and Go through self-play. While both systems rely on synthetic data generation and iterative learning, there are notable differences that set the Absolute Zero Reasoner apart: AlphaZero's scope was limited to specific games, whereas the Absolute Zero Reasoner operates in a broader domain, tackling tasks such as coding, mathematical reasoning, and problem-solving. The Absolute Zero Reasoner's versatility demonstrates the expanding potential of self-play methodologies beyond narrowly defined applications, paving the way for more generalized AI systems. This broader scope highlights the growing adaptability of AI systems, suggesting that self-play methodologies could be applied to a wide range of fields, from scientific research to industrial automation. Challenges and Ethical Considerations The success of the Absolute Zero Reasoner signals a fantastic shift in AI research, but it also introduces new challenges and ethical considerations. As AI systems become increasingly autonomous, researchers and developers must address several critical issues: Unpredictable Behaviors: Emergent traits, while impressive, can lead to unintended consequences that may pose risks to safety and reliability. Emergent traits, while impressive, can lead to unintended consequences that may pose risks to safety and reliability. Safety and Oversight: Making sure that AI outputs align with human values and objectives is essential to prevent misuse or harm. Making sure that AI outputs align with human values and objectives is essential to prevent misuse or harm. Ethical Concerns: The potential for autonomous AI systems to be misused raises questions about accountability, transparency, and control. Balancing innovation with responsibility will be crucial as AI systems continue to evolve. Researchers must develop robust frameworks for monitoring and controlling AI behavior to ensure that these systems remain aligned with human interests. The Path Toward Superintelligent AI The Absolute Zero Reasoner represents a significant step toward the development of superintelligent AI systems. By scaling self-play methodologies and using synthetic data generation, researchers could unlock unprecedented levels of AI capability. This progress has the potential to transform fields such as scientific discovery, engineering, and education. However, as AI systems become more powerful, the need for responsible development becomes increasingly urgent. Establishing clear guidelines for ethical AI use, implementing safeguards against unintended consequences, and fostering collaboration between researchers, policymakers, and industry leaders will be essential to harness the full potential of autonomous AI systems while mitigating risks. The Absolute Zero Reasoner exemplifies both the promise and the challenges of autonomous AI. Its ability to train itself, reason independently, and outperform human-trained models marks a milestone in AI research. Yet, its unpredictable behaviors highlight the importance of careful oversight and ethical considerations as we move toward the era of superintelligent AI. By addressing these challenges, researchers can ensure that AI continues to serve as a powerful tool for innovation while safeguarding against potential risks. Media Credit: TheAIGRID Filed Under: AI, Technology News, Top News 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.
Daily Mail
07-05-2025
- Health
- Daily Mail
Popular food now linked to PARKINSON'S disease as doctors issue urgent warning
People who regularly eat ultraprocessed foods have nearly triple the risk of developing Parkinson's disease, a study suggests. Chinese scientists found people who ate 11 or more servings of ultraprocessed foods a day were 2.5 times more likely to have early signs of the progressive movement disorder Parkinson's disease than those eating three or fewer servings. However, even three or fewer raised the risk by up to 60 percent, depending on the specific food. One serving is the equivalent of a can of soda or tablespoon of ketchup, but other foods considered healthy like salads and sliced meat can also be ultraprocessed. The earliest signs of Parkinson's disease in the study included sleep issues, fatigue, constipation and a reduced ability to smell. These symptoms come before tell-tale signs like tremors and balance issues and can start decades before diagnosis. Writing in a medical journal this week, the researchers suggested artificial additives in these foods like emulsifiers, sweeteners and preservatives may promote inflammation and oxidative stress. This damages neurons in the brain that create dopamine, a neurotransmitter that controls movement. Additionally, the foods quickly get absorbed into the bloodstream and attack the microbiome, a community of 'friendly' bacteria that live in the gut and communicate with the brain. Harmful bacteria creates inflammation in the brain that destroys dopamine-producing neurons. The experts believe cutting down on ultraprocessed food consumption may slash the risk of developing Parkinson's years or decades before it would be diagnosed. Outside researchers, however, cautioned that these early signs are not definitive indicators a patient will go on to develop Parkinson's. Dr Xiang Gao, study author from Fudan University in China, said: 'Eating a healthy diet is crucial as it has been associated with a lower risk of neurodegenerative diseases and the dietary choices we make today can significantly influence our brain health in the future. 'There's growing evidence that diet might influence the development of Parkinson's disease. Our research shows that eating too much processed food, like sugary sodas and packaged snacks, might be speeding up early signs of Parkinson's disease.' Parkinson's is diagnosed in about 90,000 Americans every year and is caused by the death of nerve cells in the brain that produce dopamine, which controls movement. The condition is also on the rise in the US and UK, which is thought to be caused by a rapidly aging population, environmental toxins and lifestyle choices like smoking. In the UK, there are about 18,000 new diagnoses every year in people 45 and older. Parkinson's disease is a progressive movement disorder in which the brain can't produce enough dopamine, a neurotransmitter that controls movement. A lack of dopamine leads to issues like tremors, falls, trouble swallowing and mobility issues. The new study, published Wednesday in the journal Neurology, followed 42,853 people who did not have Parkinson's at the start of the study. They were then followed for up to 26 years. Participants underwent regular medical appointments and filled out diaries every two to four years detailing what they ate and how often. Researchers divided foods into four categories: unprocessed or minimally processed foods, processed culinary ingredients, processed foods and ultraprocessed foods. Ultraprocessed foods included were: sauces, spreads, or condiments; packaged sweets; snacks or desserts; artificially or sugar-sweetened beverages; animal-based products; yogurt or dairy-based desserts; and packaged savory snacks. One serving was considered one can of soda, one ounce of potato chips, one slice of packaged cake, one hot dog or one tablespoon of ketchup. Early Parkinson's symptoms evaluated were sleep behavior disorders, constipation, depressive symptoms, body pain, impaired color vision, excessive daytime sleepiness and reduced ability to smell. The researchers found consuming 11 servings of ultraprocessed foods every day raised the risk of developing at least three early Parkinson's symptoms by 2.5 times compared to people who consumed three or fewer servings. Additionally, even three or fewer servings raised the risk. Sauces and condiments had the smallest increase at 17 percent while packaged sweets raised the risk 60 percent. Dr Gao said: 'Choosing to eat fewer processed foods and more whole, nutritious foods could be a good strategy for maintaining brain health. 'More studies are needed to confirm our finding that eating less processed food may slow down the earliest signs of Parkinson's disease.' The researchers believe additives in ultraprocessed foods like emulsifiers and sweeteners promote oxidative stress, an imbalance between disease-fighting antioxidants and harmful free radicals. Free radicals attack the body's cells and tissues. In Parkinson's disease, they damage neurons that produce dopamine, a neurotransmitter that regulates movement. Ultraprocessed foods are also thought to induce inflammation in the brain, which further attacks the neurons responsible for dopamine production. The study's main limitation was that participants self-reported their ultraprocessed food intake, so it's possible they may not have accurately calculated or remembered how many servings they had. Dr Katherine Fletcher, research lead at Parkinson's UK, said: 'Research into diet in general is difficult as people often will inaccurately self-report what their diet comprises. This could be down to forgetting to fill in the diary at the time, to subjective interpretation of amounts of UPFs. 'The study group also lacked ethnic and socio-economic diversity, which is vital when looking to better understand factors that contribute to the causes of a health condition.' Dr Daniel J van Wamelen, clinical senior lecturer in neuroscience and Honorary Consultant Neurologist at King's College London, noted while the results are 'interesting,' more definitive research is still needed. He said: 'It is important to highlight that the symptoms examined in this study are possible early signs of Parkinson's disease, not definitive indicators that someone will go on to develop it. The study did not track whether participants were diagnosed with Parkinson's later on. 'Many of the individual symptoms noted, such as sleep disturbances, constipation, and mood changes, are common in the general population. While the study found that people who ate more ultra-processed foods tended to report more of these non-motor symptoms, it did not find a direct increase in the risk of Parkinson's disease itself. 'The connection to Parkinson's disease should be viewed with caution until more definitive evidence becomes available.'
