Rowan Cheung

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

🧑‍🔬 Former Google CEO Eric Schmidt is backing FutureHouse, a nonprofit developing AI systems to accelerate scientific breakthroughs. Their newly launched platform features four specialized AI agents that outperform PhD researchers in analyzing scientific literature. The system can identify root causes of diseases and potential treatments by processing thousands of research papers in minutes rather than weeks. During demonstrations, researchers used the platform to rapidly discover potential drug targets for PCOS. With transparent reasoning processes and API access for integration into existing workflows, FutureHouse aims to fundamentally transform how scientific discoveries happen, potentially saving millions of lives through faster medical breakthroughs. #ai #science #research #medical #technology

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

🦞🦀 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

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

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

🧑‍🔬 Former Google CEO Eric Schmidt is backing FutureHouse, a nonprofit developing AI systems to accelerate scientific breakthroughs. Their newly launched platform features four specialized AI agents that outperform PhD researchers in analyzing scientific literature. The system can identify root causes of diseases and potential treatments by processing thousands of research papers in minutes rather than weeks. During demonstrations, researchers used the platform to rapidly discover potential drug targets for PCOS. With transparent reasoning processes and API access for integration into existing workflows, FutureHouse aims to fundamentally transform how scientific discoveries happen, potentially saving millions of lives through faster medical breakthroughs. #ai #science #research #medical #technology

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

🦞🦀 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

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