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Researchers at Hokkaido University developed ultra-strong underwater adhesives by combining insights from nature with artificial intelligence. The team analyzed over 24,000 adhesive proteins from marine organisms like mussels and barnacles, identifying common molecular patterns that enable wet adhesion. They synthesized 180 hydrogels based on these patterns, then used machine learning to optimize the formulations. After three AI-guided rounds of predictions and testing, they achieved adhesive strength exceeding one megapascal—ten times stronger than previous underwater glues. The material instantly sealed high-pressure water leaks, withstood ocean waves for over a year, and outperformed commercial products like Flex Tape. With good biocompatibility and scalable production using common components, these hydrogels show promise for surgical applications, marine engineering, and deep-sea exploration. You can read more in the research paper titled “Data-driven de novo design of super-adhesive hydrogels” published on Nature.com #trendingreels #ai #science #research #technology
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Researchers at Hokkaido University developed ultra-strong underwater adhesives by combining insights from nature with artificial intelligence. The team analyzed over 24,000 adhesive proteins from marine organisms like mussels and barnacles, identifying common molecular patterns that enable wet adhesion. They synthesized 180 hydrogels based on these patterns, then used machine learning to optimize the formulations. After three AI-guided rounds of predictions and testing, they achieved adhesive strength exceeding one megapascal—ten times stronger than previous underwater glues. The material instantly sealed high-pressure water leaks, withstood ocean waves for over a year, and outperformed commercial products like Flex Tape. With good biocompatibility and scalable production using common components, these hydrogels show promise for surgical applications, marine engineering, and deep-sea exploration. You can read more in the research paper titled “Data-driven de novo design of super-adhesive hydrogels” published on Nature.com #trendingreels #ai #science #research #technology
Comment “Codex” for the link 🔗 @openai just dropped a major update to Codex. Here are some of the new features: - Computer use: Codex gets its own cursor and can click through your actual Mac apps, test flows, and flag issues without you touching anything. - ImageGen: Built-in image generation (gpt-image-1.5) generates images for real work, like creating assets for slides, mockups, UI, and games - In-app browser: Preview and test UI, view artifacts for docs, sheets, and slides. Faster build, review, iterate loop There’s a lot more, but I’ll let you try it out for yourself 🧑‍💻 #ChatGPTPartner
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Comment “Codex” for the link 🔗 @openai just dropped a major update to Codex. Here are some of the new features: - Computer use: Codex gets its own cursor and can click through your actual Mac apps, test flows, and flag issues without you touching anything. - ImageGen: Built-in image generation (gpt-image-1.5) generates images for real work, like creating assets for slides, mockups, UI, and games - In-app browser: Preview and test UI, view artifacts for docs, sheets, and slides. Faster build, review, iterate loop There’s a lot more, but I’ll let you try it out for yourself 🧑‍💻 #ChatGPTPartner
Researchers at ETH Zurich have developed magnetic microrobots capable of delivering drugs to precise locations inside the body. Their study, “Clinically Ready Magnetic Microrobots for Targeted Therapies,” describes a system where gelatin capsules embedded with magnetic nanoparticles are guided through blood vessels using external electromagnetic fields. Doctors can track the microrobots in real time via X-ray imaging. Once the capsule reaches its target, a high-frequency magnetic field heats the particles, dissolving the gelatin and releasing medication within forty seconds. The team successfully demonstrated navigation in pigs and sheep, marking the first time magnetic microrobots have operated within a clinically relevant environment. All materials used are already FDA-approved for other intravenous applications. DOI: 10.1126/science.adx1708 #science #tech #robot #medicine #research
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Researchers at ETH Zurich have developed magnetic microrobots capable of delivering drugs to precise locations inside the body. Their study, “Clinically Ready Magnetic Microrobots for Targeted Therapies,” describes a system where gelatin capsules embedded with magnetic nanoparticles are guided through blood vessels using external electromagnetic fields. Doctors can track the microrobots in real time via X-ray imaging. Once the capsule reaches its target, a high-frequency magnetic field heats the particles, dissolving the gelatin and releasing medication within forty seconds. The team successfully demonstrated navigation in pigs and sheep, marking the first time magnetic microrobots have operated within a clinically relevant environment. All materials used are already FDA-approved for other intravenous applications. DOI: 10.1126/science.adx1708 #science #tech #robot #medicine #research
Andon Labs, a San Francisco company that tests AI agents in real-world settings, signed a three-year lease and gave an AI named Luna a hundred thousand dollars to run a retail store. Luna, powered by Anthropic’s Claude AI, hired employees, ordered inventory, and set prices on her own. The result has been mixed. The store opened on April 10 on Union Street, but Luna has struggled with scheduling, ordered a thousand toilet seat covers, and reportedly “can’t stop buying candles.” Andon Labs built this experiment not as a business opportunity, but as a warning. If AI is going to manage humans, they want to be the ones watching when it does. The store is open now in SF’s Cow Hollow neighborhood. It’s one of the first real tests of what happens when AI doesn’t just assist humans, but manages them.
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Andon Labs, a San Francisco company that tests AI agents in real-world settings, signed a three-year lease and gave an AI named Luna a hundred thousand dollars to run a retail store. Luna, powered by Anthropic’s Claude AI, hired employees, ordered inventory, and set prices on her own. The result has been mixed. The store opened on April 10 on Union Street, but Luna has struggled with scheduling, ordered a thousand toilet seat covers, and reportedly “can’t stop buying candles.” Andon Labs built this experiment not as a business opportunity, but as a warning. If AI is going to manage humans, they want to be the ones watching when it does. The store is open now in SF’s Cow Hollow neighborhood. It’s one of the first real tests of what happens when AI doesn’t just assist humans, but manages them.
💾 Microsoft has been working on Project Silica for nearly a decade, and this month marked its biggest leap yet. The research phase is now officially complete, and the system no longer requires rare, expensive glass. It now works with the same heat-resistant material found in Pyrex cookware. That solves what was previously the biggest barrier to real-world deployment. The glass stores nearly 5 terabytes of data in a coaster-sized slab, needs no power to maintain it, and is immune to heat, water, and magnetic fields that would destroy conventional storage within decades. Microsoft has already used it to archive the 1978 Superman film and partnered with the Global Music Vault to preserve recordings under Arctic ice. You can read more about it in their latest research paper, details below👇 Study: “Laser writing in glass for dense, fast and efficient archival data storage” published in Nature DOI: 10.1038/s41586-025-10042-w
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💾 Microsoft has been working on Project Silica for nearly a decade, and this month marked its biggest leap yet. The research phase is now officially complete, and the system no longer requires rare, expensive glass. It now works with the same heat-resistant material found in Pyrex cookware. That solves what was previously the biggest barrier to real-world deployment. The glass stores nearly 5 terabytes of data in a coaster-sized slab, needs no power to maintain it, and is immune to heat, water, and magnetic fields that would destroy conventional storage within decades. Microsoft has already used it to archive the 1978 Superman film and partnered with the Global Music Vault to preserve recordings under Arctic ice. You can read more about it in their latest research paper, details below👇 Study: “Laser writing in glass for dense, fast and efficient archival data storage” published in Nature DOI: 10.1038/s41586-025-10042-w
Researchers from MIT and Politecnico di Bari have developed electrically driven artificial muscle fibers that contract and extend like biological muscle without motors, gears, or external pumps. Each fiber contains a sealed fluid circuit and a millimeter-scale electric pump that shifts liquid between two actuators, causing one to contract while the other relaxes. The fibers are silent, scalable by bundling like natural muscle, and thin enough to distribute throughout a robotic structure rather than concentrating bulk at joints. In testing, the fibers demonstrated enough force to bend a robotic arm while remaining gentle enough for human interaction. This could one day be used for prosthetics that move with the body, exoskeletons that amplify human strength, and humanoid robots that move more naturally than current servo-driven systems. Study: “Electrofluidic fiber muscles” published in Science Robotics DOI: 10.1126/scirobotics.ady6438
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Researchers from MIT and Politecnico di Bari have developed electrically driven artificial muscle fibers that contract and extend like biological muscle without motors, gears, or external pumps. Each fiber contains a sealed fluid circuit and a millimeter-scale electric pump that shifts liquid between two actuators, causing one to contract while the other relaxes. The fibers are silent, scalable by bundling like natural muscle, and thin enough to distribute throughout a robotic structure rather than concentrating bulk at joints. In testing, the fibers demonstrated enough force to bend a robotic arm while remaining gentle enough for human interaction. This could one day be used for prosthetics that move with the body, exoskeletons that amplify human strength, and humanoid robots that move more naturally than current servo-driven systems. Study: “Electrofluidic fiber muscles” published in Science Robotics DOI: 10.1126/scirobotics.ady6438
🦞🦀 Researchers at EPFL in Switzerland have developed functional robot components from discarded langoustine shells, demonstrating a new approach they call “necrobotics.” The crustacean exoskeletons, typically thrown away as food waste, naturally combine rigid protective plates with flexible joints—a structure difficult to replicate synthetically. By augmenting three-gram shells with tendons, elastomers, and silicone coatings, the team created actuators capable of supporting 680-gram payloads, operating at eight cycles per second, and powering swimming robots. The design enables circular manufacturing: shells biodegrade after use while synthetic components get reused. With millions of tons of crustacean shells discarded annually, the research suggests food waste could become a sustainable source for robotics hardware. Research paper info👇 Title: “Dead Matter, Living Machines: Repurposing Crustaceans’ Abdomen Exoskeleton for Bio-Hybrid Robots” DOI: 10.1002/advs.202517712 Authors: Sareum Kim, Kieran Gilday, and Josie Hughes Institution: The CREATE Lab, Institute of Mechanical Engineering, School of Engineering, EPFL (Lausanne, Switzerland) Journal: Advanced Science #trendingreels #robotics #research #science
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🦞🦀 Researchers at EPFL in Switzerland have developed functional robot components from discarded langoustine shells, demonstrating a new approach they call “necrobotics.” The crustacean exoskeletons, typically thrown away as food waste, naturally combine rigid protective plates with flexible joints—a structure difficult to replicate synthetically. By augmenting three-gram shells with tendons, elastomers, and silicone coatings, the team created actuators capable of supporting 680-gram payloads, operating at eight cycles per second, and powering swimming robots. The design enables circular manufacturing: shells biodegrade after use while synthetic components get reused. With millions of tons of crustacean shells discarded annually, the research suggests food waste could become a sustainable source for robotics hardware. Research paper info👇 Title: “Dead Matter, Living Machines: Repurposing Crustaceans’ Abdomen Exoskeleton for Bio-Hybrid Robots” DOI: 10.1002/advs.202517712 Authors: Sareum Kim, Kieran Gilday, and Josie Hughes Institution: The CREATE Lab, Institute of Mechanical Engineering, School of Engineering, EPFL (Lausanne, Switzerland) Journal: Advanced Science #trendingreels #robotics #research #science
Dutch technology company ASML manufactures the world’s most advanced chipmaking machines, costing up to $400 million each. Only five of their High NA lithography systems exist globally, and they’re essential for producing cutting-edge semiconductors used by NVIDIA, Apple, and TSMC. The machines create extreme ultraviolet light (EUV) by shooting molten tin at 50,000 droplets per second and vaporizing them with lasers. This process etches microscopic patterns onto silicon wafers with unprecedented precision. Each machine takes 18 months to build, weighs more than a double-decker bus, and requires seven Boeing 747 aircraft for delivery. ASML’s monopoly on this technology has made it a geopolitical flashpoint in global trade disputes. #trendingreels #ai #datacenter #technology #semiconductor
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Dutch technology company ASML manufactures the world’s most advanced chipmaking machines, costing up to $400 million each. Only five of their High NA lithography systems exist globally, and they’re essential for producing cutting-edge semiconductors used by NVIDIA, Apple, and TSMC. The machines create extreme ultraviolet light (EUV) by shooting molten tin at 50,000 droplets per second and vaporizing them with lasers. This process etches microscopic patterns onto silicon wafers with unprecedented precision. Each machine takes 18 months to build, weighs more than a double-decker bus, and requires seven Boeing 747 aircraft for delivery. ASML’s monopoly on this technology has made it a geopolitical flashpoint in global trade disputes. #trendingreels #ai #datacenter #technology #semiconductor
The first transatlantic fiber-optic cable is being recovered from the ocean floor. TAT-8, which went live in 1988, was revolutionary for its time. It was the first to carry data between Europe and the United States using light instead of electrical signals. Engineers believed it might be the last cable the world would ever need. It filled to capacity within 18 months. Retired in 2002 after developing an unrepairable fault, it has sat on the seabed for over two decades. A small crew is now hauling it up for recycling. The operation coincides with Meta’s announcement of Project Waterworth, a 50,000 kilometer cable built partly to support AI infrastructure. To read more about it, check out the recent Wired article titled “Say Goodbye to the Undersea Cable That Made the Global Internet Possible” #internet #tech
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The first transatlantic fiber-optic cable is being recovered from the ocean floor. TAT-8, which went live in 1988, was revolutionary for its time. It was the first to carry data between Europe and the United States using light instead of electrical signals. Engineers believed it might be the last cable the world would ever need. It filled to capacity within 18 months. Retired in 2002 after developing an unrepairable fault, it has sat on the seabed for over two decades. A small crew is now hauling it up for recycling. The operation coincides with Meta’s announcement of Project Waterworth, a 50,000 kilometer cable built partly to support AI infrastructure. To read more about it, check out the recent Wired article titled “Say Goodbye to the Undersea Cable That Made the Global Internet Possible” #internet #tech
OpenAI has developed a specialized AI model that successfully redesigned Nobel Prize-winning proteins to reverse cellular aging with 50-fold greater efficiency. Working with longevity startup Retro Bio, researchers used GPT-4b micro, a model trained on biological data rather than text, to reengineer Yamanaka factors, proteins that reprogram adult cells into stem cells. The original 2012 discovery converted less than 0.1% of cells over weeks, but the AI-designed versions achieved over 30% success rates and demonstrated superior DNA damage repair capabilities. Multiple labs validated the results across different cell types and delivery methods, suggesting the approach could dramatically accelerate regenerative medicine and aging research from decades to weeks. #trendingreels #ai #biotech #technology #future #medical #research #science
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OpenAI has developed a specialized AI model that successfully redesigned Nobel Prize-winning proteins to reverse cellular aging with 50-fold greater efficiency. Working with longevity startup Retro Bio, researchers used GPT-4b micro, a model trained on biological data rather than text, to reengineer Yamanaka factors, proteins that reprogram adult cells into stem cells. The original 2012 discovery converted less than 0.1% of cells over weeks, but the AI-designed versions achieved over 30% success rates and demonstrated superior DNA damage repair capabilities. Multiple labs validated the results across different cell types and delivery methods, suggesting the approach could dramatically accelerate regenerative medicine and aging research from decades to weeks. #trendingreels #ai #biotech #technology #future #medical #research #science
✋ This robotic hand costs less than $2,000 and can be 3D printed in a single day. It also just ran autonomously for seven hours without a single hardware failure…👀 Researchers at ETH Zurich created ORCA, an open-source tendon-driven hand with tactile sensors on each fingertip, a self-calibration system, and joints designed to dislocate rather than break under stress. Comparable robotic hands with human-like dexterity typically cost over $100,000 and require enterprise-level maintenance. ORCA can hold over 20 pounds and learn manipulation tasks through both imitation learning and simulation-to-real transfer. All design files and source code are publicly available one their website: orcahand.com and on GitHub - github.com/orcahand
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✋ This robotic hand costs less than $2,000 and can be 3D printed in a single day. It also just ran autonomously for seven hours without a single hardware failure…👀 Researchers at ETH Zurich created ORCA, an open-source tendon-driven hand with tactile sensors on each fingertip, a self-calibration system, and joints designed to dislocate rather than break under stress. Comparable robotic hands with human-like dexterity typically cost over $100,000 and require enterprise-level maintenance. ORCA can hold over 20 pounds and learn manipulation tasks through both imitation learning and simulation-to-real transfer. All design files and source code are publicly available one their website: orcahand.com and on GitHub - github.com/orcahand
MIT graduate student Alex Kachkine has developed an AI-powered art restoration system that can repair damaged paintings in hours rather than years. Detailed in a research paper in Nature titled “Physical restoration of a painting with a digitally constructed mask,” the breakthrough method uses deep learning to analyze artwork damage and digitally reconstruct missing sections, then prints restorations onto ultra-thin transparent masks using museum-quality inks. The masks can be layered over original paintings and completely removed without damage, addressing ethical concerns about permanent alterations. Working 65 times faster than traditional hand-painting, the system has attracted Italy’s Ministry of Culture, which is adapting it for major projects like earthquake-damaged 15th-century frescoes. #trendingreels #ai #artrestoration #technology
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MIT graduate student Alex Kachkine has developed an AI-powered art restoration system that can repair damaged paintings in hours rather than years. Detailed in a research paper in Nature titled “Physical restoration of a painting with a digitally constructed mask,” the breakthrough method uses deep learning to analyze artwork damage and digitally reconstruct missing sections, then prints restorations onto ultra-thin transparent masks using museum-quality inks. The masks can be layered over original paintings and completely removed without damage, addressing ethical concerns about permanent alterations. Working 65 times faster than traditional hand-painting, the system has attracted Italy’s Ministry of Culture, which is adapting it for major projects like earthquake-damaged 15th-century frescoes. #trendingreels #ai #artrestoration #technology
Former Google CEO Eric Schmidt is backing FutureHouse, a nonprofit building AI systems to accelerate scientific discovery. Their newly launched platform features four specialized AI agents that surpass PhD researchers in analyzing scientific literature. The system identifies disease causes and potential treatments by processing thousands of research papers in minutes instead of weeks. In demonstrations, researchers used the platform to quickly discover potential drug targets for PCOS. With transparent reasoning processes and API access for integration into existing research workflows, FutureHouse aims to fundamentally transform how scientific breakthroughs happen, potentially saving millions of lives through accelerated medical discoveries. #trendingreels #ai #medical #research #science
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Former Google CEO Eric Schmidt is backing FutureHouse, a nonprofit building AI systems to accelerate scientific discovery. Their newly launched platform features four specialized AI agents that surpass PhD researchers in analyzing scientific literature. The system identifies disease causes and potential treatments by processing thousands of research papers in minutes instead of weeks. In demonstrations, researchers used the platform to quickly discover potential drug targets for PCOS. With transparent reasoning processes and API access for integration into existing research workflows, FutureHouse aims to fundamentally transform how scientific breakthroughs happen, potentially saving millions of lives through accelerated medical discoveries. #trendingreels #ai #medical #research #science
🐄 Halter, a New Zealand agtech startup, has developed AI-powered smart collars that create virtual fences for cattle, allowing farmers to manage herds remotely through a phone app. The collars use sound and vibration cues to guide cows, collect over 6,000 data points per minute, and use machine learning to track grazing, predict disease, and detect breeding cycles. Founded by Craig Piggott, who grew up on a dairy farm, Halter now manages nearly 650,000 cows across 1,300 farms in New Zealand, Australia, and the United States. The company recently raised $220 million at a $2 billion valuation 👀 #tech #ai #agtech #startup
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🐄 Halter, a New Zealand agtech startup, has developed AI-powered smart collars that create virtual fences for cattle, allowing farmers to manage herds remotely through a phone app. The collars use sound and vibration cues to guide cows, collect over 6,000 data points per minute, and use machine learning to track grazing, predict disease, and detect breeding cycles. Founded by Craig Piggott, who grew up on a dairy farm, Halter now manages nearly 650,000 cows across 1,300 farms in New Zealand, Australia, and the United States. The company recently raised $220 million at a $2 billion valuation 👀 #tech #ai #agtech #startup
🔬Nobel Prize-winning chemist Omar Yaghi has developed a technology that could harvest drinking water from thin air. His invention, called metal-organic frameworks (MOFs), consists of tiny crystals filled with microscopic pores that absorb moisture from the atmosphere and release it as clean water when exposed to sunlight. Unlike traditional water harvesting methods that require significant energy, these systems can operate completely off-grid. Yaghi’s company Atoco uses AI to accelerate the development of these materials, with machine learning models predicting material properties and optimizing structures for efficiency. What once took years of experimentation now takes weeks. Growing up in Jordan without running water, Yaghi spent his childhood waiting for the city to switch on local taps so his family could fill their tanks. Now he’s racing to provide water independence to people around the world. �Field tests are scheduled for early 2026 in the Mojave Desert, one of the hottest and driest places on the planet. #science #techforgood #research #future #chemistry
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🔬Nobel Prize-winning chemist Omar Yaghi has developed a technology that could harvest drinking water from thin air. His invention, called metal-organic frameworks (MOFs), consists of tiny crystals filled with microscopic pores that absorb moisture from the atmosphere and release it as clean water when exposed to sunlight. Unlike traditional water harvesting methods that require significant energy, these systems can operate completely off-grid. Yaghi’s company Atoco uses AI to accelerate the development of these materials, with machine learning models predicting material properties and optimizing structures for efficiency. What once took years of experimentation now takes weeks. Growing up in Jordan without running water, Yaghi spent his childhood waiting for the city to switch on local taps so his family could fill their tanks. Now he’s racing to provide water independence to people around the world. �Field tests are scheduled for early 2026 in the Mojave Desert, one of the hottest and driest places on the planet. #science #techforgood #research #future #chemistry
🩻 Google has released MedGemma, an open-source AI model designed specifically for medical applications. The system can analyze medical images like chest X-rays while simultaneously processing text data from electronic health records. In clinical testing, 81% of MedGemma’s chest X-ray reports were deemed accurate enough for patient care by board-certified radiologists. The AI scored 87.7% on MedQA medical knowledge tests, approaching the performance of much larger models while requiring significantly less computational power. Hospitals in Taiwan are already using it with traditional Chinese medical literature, while developers in India report success with clinical tasks like summarizing patient progress notes. Unlike proprietary AI systems, MedGemma can be downloaded and customized by hospitals, allowing them to maintain control over sensitive patient data while adapting the technology for their specific medical specialties and workflows. #trendingreels #ai #medical #medtech #research
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🩻 Google has released MedGemma, an open-source AI model designed specifically for medical applications. The system can analyze medical images like chest X-rays while simultaneously processing text data from electronic health records. In clinical testing, 81% of MedGemma’s chest X-ray reports were deemed accurate enough for patient care by board-certified radiologists. The AI scored 87.7% on MedQA medical knowledge tests, approaching the performance of much larger models while requiring significantly less computational power. Hospitals in Taiwan are already using it with traditional Chinese medical literature, while developers in India report success with clinical tasks like summarizing patient progress notes. Unlike proprietary AI systems, MedGemma can be downloaded and customized by hospitals, allowing them to maintain control over sensitive patient data while adapting the technology for their specific medical specialties and workflows. #trendingreels #ai #medical #medtech #research
🌲Researchers from Oxford and ETH Zurich have developed an AI system that autonomously surveys forests and measures trees with remarkable precision. The robot uses LiDAR sensors and AI to navigate woodland terrain while identifying individual trees and measuring their diameter at breast height within 2 centimeters accuracy. During field tests across Finland and the UK, the system surveyed nearly one hectare in 20 minutes, cataloging over 100 trees and achieving survey rates of 2 hectares per hour. Unlike wheeled vehicles that damage forest soil or drones limited by dense canopy, the legged platform offers sustainable forest monitoring for carbon accounting and timber management while reducing physical demands on human foresters. #trendingreels #ai #robotics #research #lidar #technology
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🌲Researchers from Oxford and ETH Zurich have developed an AI system that autonomously surveys forests and measures trees with remarkable precision. The robot uses LiDAR sensors and AI to navigate woodland terrain while identifying individual trees and measuring their diameter at breast height within 2 centimeters accuracy. During field tests across Finland and the UK, the system surveyed nearly one hectare in 20 minutes, cataloging over 100 trees and achieving survey rates of 2 hectares per hour. Unlike wheeled vehicles that damage forest soil or drones limited by dense canopy, the legged platform offers sustainable forest monitoring for carbon accounting and timber management while reducing physical demands on human foresters. #trendingreels #ai #robotics #research #lidar #technology
Researchers at Hokkaido University developed ultra-strong underwater adhesives by combining insights from nature with artificial intelligence. The team analyzed over 24,000 adhesive proteins from marine organisms like mussels and barnacles, identifying common molecular patterns that enable wet adhesion. They synthesized 180 hydrogels based on these patterns, then used machine learning to optimize the formulations. After three AI-guided rounds of predictions and testing, they achieved adhesive strength exceeding one megapascal—ten times stronger than previous underwater glues. The material instantly sealed high-pressure water leaks, withstood ocean waves for over a year, and outperformed commercial products like Flex Tape. With good biocompatibility and scalable production using common components, these hydrogels show promise for surgical applications, marine engineering, and deep-sea exploration. Study: “Data-driven de novo design of super-adhesive hydrogels” published in Nature DOI: 10.1038/s41586-025-09269-4
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Researchers at Hokkaido University developed ultra-strong underwater adhesives by combining insights from nature with artificial intelligence. The team analyzed over 24,000 adhesive proteins from marine organisms like mussels and barnacles, identifying common molecular patterns that enable wet adhesion. They synthesized 180 hydrogels based on these patterns, then used machine learning to optimize the formulations. After three AI-guided rounds of predictions and testing, they achieved adhesive strength exceeding one megapascal—ten times stronger than previous underwater glues. The material instantly sealed high-pressure water leaks, withstood ocean waves for over a year, and outperformed commercial products like Flex Tape. With good biocompatibility and scalable production using common components, these hydrogels show promise for surgical applications, marine engineering, and deep-sea exploration. Study: “Data-driven de novo design of super-adhesive hydrogels” published in Nature DOI: 10.1038/s41586-025-09269-4
Sam Altman on Sora and why OpenAI releases AI video tools early, even with risks of deepfakes and watermark removal. Watch the full interview with Sam on my YouTube (link in story!) #trendingreels #ai #sora
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Sam Altman on Sora and why OpenAI releases AI video tools early, even with risks of deepfakes and watermark removal. Watch the full interview with Sam on my YouTube (link in story!) #trendingreels #ai #sora
At this remote observatory in rural Texas, 550 robotic telescopes operate from eleven identical sheds built on former cattle grazing land. Each night, retractable roofs slide open automatically, and amateur astronomers worldwide control their instruments remotely via fiber-optic internet. The facility charges just $99 monthly for the smallest telescopes, making Class 1 dark skies accessible without traveling to remote deserts. Small $500 Seestar telescopes that premium observatories rejected now sit alongside expensive instruments with two-foot mirrors. A Discord group of 2,000 astronomy enthusiasts troubleshoots technical issues and combines data from multiple telescopes to capture supernova remnants too faint for individual observation. Starfront recently bought 20 adjacent acres and is considering a Southern Hemisphere location. #trendingreels #tech #telescope #astrophotography
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At this remote observatory in rural Texas, 550 robotic telescopes operate from eleven identical sheds built on former cattle grazing land. Each night, retractable roofs slide open automatically, and amateur astronomers worldwide control their instruments remotely via fiber-optic internet. The facility charges just $99 monthly for the smallest telescopes, making Class 1 dark skies accessible without traveling to remote deserts. Small $500 Seestar telescopes that premium observatories rejected now sit alongside expensive instruments with two-foot mirrors. A Discord group of 2,000 astronomy enthusiasts troubleshoots technical issues and combines data from multiple telescopes to capture supernova remnants too faint for individual observation. Starfront recently bought 20 adjacent acres and is considering a Southern Hemisphere location. #trendingreels #tech #telescope #astrophotography

Rowan Cheung (@rowancheung) Instagram Stats & Analytics

Rowan Cheung (@rowancheung) has 394K Instagram followers with a 4.91% engagement rate over the past 12 months. Across 216 posts, Rowan Cheung received 2.61M total likes and 53.6M impressions, averaging 12.1K likes per post. This page tracks Rowan Cheung's performance metrics, top content, and engagement trends — updated daily.

Rowan Cheung (@rowancheung) Instagram Analytics FAQ

How many Instagram followers does Rowan Cheung have?+
Rowan Cheung (@rowancheung) has 394K Instagram followers as of May 2026.
What is Rowan Cheung's Instagram engagement rate?+
Rowan Cheung's Instagram engagement rate is 4.91% over the last 12 months, based on 216 posts.
How many likes does Rowan Cheung get on Instagram?+
Rowan Cheung received 2.61M total likes across 216 posts in the last 12 months, averaging 12.1K likes per post.
How many Instagram impressions does Rowan Cheung get?+
Rowan Cheung's Instagram content generated 53.6M total impressions over the last 12 months.