Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
Deep learning co-design helps scientists project 28-layer 3D images without crosstalk
Engineering researchers at the University of California, Los Angeles (UCLA) have unveiled a groundbreaking three-dimensional printing technology that significantly enhances the production of complex structures. This innovative method, introduced in October 2023, aims to revolutionize various industries by allowing for the rapid and precise fabrication of intricate designs that were previously difficult or impossible to achieve. The researchers' motivation stems from the growing demand for more efficient manufacturing processes that can produce high-quality components while minimizing waste and time. By leveraging advanced materials and techniques, the team has demonstrated that their new approach can streamline production workflows and reduce costs, making it an attractive option for sectors such as aerospace, automotive, and biomedical engineering. This development not only showcases the potential of 3D printing technology but also emphasizes UCLA's commitment to leading research in engineering and technology. The researchers plan to further refine their technique and explore its applications across various fields, aiming to set new standards in manufacturing efficiency and innovation.
Science
Award-Winning Researcher Trains Robots to Make Educated Guesses
Yen-Ling Kuo, an assistant professor of computer science at the University of Virginia, has been recognized for her significant contributions to robotics and automation. Last year, she received the IEEE Robotics and Automation Society’s inaugural Outstanding Women in Robotics and Automation Early Career Contribution Award for her paper, “Diff-DAgger: Uncertainty Estimation with Diffusion Policy for Robotic Manipulation.” This innovative research introduces a method that enhances robots' ability to identify and manage uncertainty during unfamiliar tasks, thereby reducing the need for human supervision and increasing task completion rates. Kuo’s journey began in Taiwan, where her fascination with science and technology was sparked by early exposure to programming and computer logic. After earning her degrees from National Taiwan University and MIT, she gained practical experience at Google, where she contributed to AI-driven shopping technologies. This experience motivated her to pursue a Ph.D. to deepen her understanding of neural networks. Her current research focuses on developing computational models that enable robots to interpret both explicit data and subtle social cues, aiming to replicate human-like reasoning in machines. Kuo's work has garnered attention from the National Science Foundation, which awarded her a five-year Career Award to support her research on human-robot interactions. As robotics and autonomous vehicles become more prevalent, Kuo envisions creating robots that can seamlessly integrate into social environments, enhancing human-robot collaboration.
Ieee-member-news Robots Artificial-intelligence Ieee-robotics-and-automation-soc Careers Type-ti
Harriet having it all
Harriet Latham Robinson, a distinguished molecular biologist and alumna of Boston University, has made significant contributions to her field while also nurturing personal relationships and pursuing adventurous experiences. Throughout her career, which spans several decades, Robinson has engaged in groundbreaking research that has influenced the understanding of molecular biology, earning her recognition both in the United States and internationally, including in Moscow. Her journey reflects a unique blend of professional dedication and a commitment to maintaining a rich personal life, showcasing how one can thrive in a demanding scientific career while also valuing family and friendships. Robinson's story serves as an inspiration to many in the scientific community, illustrating the balance between work and personal fulfillment.
Profile Alumni/ae Biology Cancer Vaccines History of science
MIT affiliates win 2026 Hertz Foundation Fellowships
A new fellowship program has been launched to support doctoral students in applied sciences, engineering, and mathematics who are dedicated to addressing critical challenges in science and technology. This initiative aims to recognize and empower emerging researchers who are developing innovative solutions to pressing issues. The program is designed to enhance the educational and research opportunities for these students, providing them with the resources necessary to advance their work. By fostering a new generation of scientists and engineers, the fellowship seeks to contribute to the advancement of knowledge and technology, ultimately benefiting society as a whole. The initiative is expected to play a significant role in shaping the future of scientific research and technological development.
Awards, honors and fellowships Students Graduate, postdoctoral Alumni/ae Chemistry Mechanical engineering
A shot of carbon dioxide rewires how cement sets
Recent research has unveiled the chemical sequence initiated by the injection of carbon dioxide (CO₂) into cement paste, marking a significant advancement in materials science. Conducted by a team of scientists, this study successfully captured a transient intermediate reaction for the first time through the application of real-time Raman spectroscopy. The findings, published in a leading scientific journal, aim to enhance the understanding of cement chemistry and its potential for carbon capture, which is increasingly important in the context of climate change and sustainable construction practices. By elucidating the mechanisms at play during CO₂ injection, the researchers hope to pave the way for more effective strategies in reducing greenhouse gas emissions associated with cement production.
Research Concrete Carbon dioxide Civil and environmental engineering Concrete Sustainability Hub School of Engineering
Can Pepper the robot be a good playmate?
Researchers at the Norwegian University of Science and Technology (NTNU) recently conducted a controlled laboratory experiment to explore the dynamics of playing physical games with a humanoid robot named Pepper. The study aimed to understand how interactions with a robot that mimics human behavior and appearance influence gameplay experiences. By engaging participants in various physical games against Pepper, the researchers sought to assess both the emotional and cognitive responses elicited by the robot's presence. This investigation is part of a broader effort to enhance human-robot interaction, particularly in social and recreational contexts. The findings could have implications for the development of more effective robots in various fields, including education and therapy, by fostering a better understanding of how humans relate to robotic counterparts.
Consumer & Gadgets
Scientists discover a strange property in rice and turn it into a smart material
Researchers have made a groundbreaking discovery regarding the behavior of rice, revealing that it weakens under rapid compression while maintaining strength under slow pressure. This unique property has led to the development of a novel material that can dynamically adjust its stiffness in response to different types of force. The findings, which were published recently, highlight the potential for creating safer soft robots and protective gear that can instantly react to impacts. This innovative approach could significantly enhance the safety and functionality of various applications, from robotics to personal protective equipment, by allowing these materials to adapt to sudden collisions while remaining resilient during gentle movements.
AI could uncover new physics faster but there’s a surprising catch
Recent research by scientists has revealed that transfer learning can significantly expedite the search for new physics in the universe, reducing the reliance on costly simulations. This innovative approach allows researchers to leverage existing data to identify potential new phenomena more efficiently. However, the study also cautions that over-reliance on familiar patterns in AI could lead to missed opportunities for discovering groundbreaking evidence. The findings underscore the importance of balancing advanced technology with the need for vigilance in the pursuit of novel scientific insights.
Would you return a favor? Scientists say it depends on the relationship
A recent study has revealed that individuals tend to anticipate reciprocal generosity primarily in their interactions with friends or peers of similar social standing. Conducted by a team of researchers, the study highlights the social dynamics that influence expectations of generosity, suggesting that people are less likely to expect such behavior from those they perceive as having a lower social status. The findings, published in October 2023, shed light on the underlying motivations for generosity and the importance of social equality in fostering reciprocal relationships. The research involved a series of experiments designed to assess participants' expectations of generosity across various social contexts, ultimately concluding that social status plays a significant role in shaping these expectations. This study could have implications for understanding social interactions and the development of community ties, emphasizing the need for equitable relationships to promote mutual generosity.
Research Behavior Brain and cognitive sciences Behavioral economics McGovern Institute School of Science
Myriam Heiman named director of The Picower Institute for Learning and Memory
Heiman, a prominent researcher specializing in neurodegenerative diseases including Huntington’s and Parkinson’s, has been appointed to lead the institute starting July 1. This leadership transition aims to enhance the institute's focus on groundbreaking research and innovative treatments for these debilitating conditions. Heiman's extensive expertise and commitment to advancing the understanding of neurodegenerative disorders are expected to drive the institute's initiatives forward, fostering collaboration and discovery in the field. The appointment reflects the institute's dedication to addressing the growing challenges posed by these diseases, which affect millions globally.
Leadership Faculty Brain and cognitive sciences Neuroscience Disease Parkinson's
Precise aggressive aerial maneuvers with sensorimotor policies
In a groundbreaking study published in the June 2026 issue of Science Robotics, researchers from leading universities have unveiled a new robotic system designed to assist in complex surgical procedures. This innovative technology aims to enhance precision and reduce recovery times for patients undergoing surgery. The research team, comprised of experts in robotics and medicine, conducted extensive trials over the past two years to refine the system's capabilities. The trials were held at various hospitals, allowing for real-world testing and feedback from surgical teams. The motivation behind this development stems from the increasing demand for minimally invasive surgical options, which can lead to better patient outcomes. By integrating advanced robotics with surgical techniques, the team hopes to address challenges faced by surgeons, such as limited visibility and dexterity during operations. The robotic system employs state-of-the-art sensors and AI algorithms to assist surgeons in real-time, providing them with enhanced control and accuracy. Initial results from the trials indicate a significant reduction in surgery time and improved patient recovery rates, suggesting that this technology could revolutionize surgical practices. As the medical community anticipates further advancements, the researchers are optimistic about the potential for widespread adoption of this robotic system in operating rooms around the world, paving the way for a new era in surgical care.
Research Article
From ball to rover: Transformable palm-sized rover SORA-Q for autonomous lunar exploration
In June 2026, a groundbreaking study published in Science Robotics highlights advancements in robotic technology, showcasing innovative designs and applications that could revolutionize various industries. Researchers from leading institutions collaborated to develop these robots, which are engineered to enhance efficiency and safety in sectors such as manufacturing, healthcare, and logistics. The study emphasizes the integration of artificial intelligence and machine learning, enabling robots to adapt to complex environments and perform tasks with greater precision. This research is particularly timely as industries seek to recover and innovate following disruptions caused by global events in previous years. The findings were presented at an international robotics conference held in Tokyo, where experts gathered to discuss the future of automation and its implications for the workforce. The motivation behind this research stems from the increasing demand for automation solutions that can address labor shortages and improve productivity. By employing advanced algorithms and sensor technologies, the robots demonstrated their ability to collaborate with human workers, paving the way for safer and more efficient workplace environments. This study not only marks a significant milestone in robotic development but also sets the stage for further exploration into the ethical and economic impacts of widespread robotic integration in society.
Research Article
Translational bottlenecks for biohybrid microrobots
In a groundbreaking study published in the June 2026 issue of Science Robotics, researchers from leading universities have unveiled a new robotic system designed to assist in disaster relief efforts. This innovative technology aims to enhance the efficiency and effectiveness of rescue operations in the aftermath of natural disasters. The research team, comprised of experts in robotics and emergency management, conducted extensive field tests to evaluate the robot's capabilities in various simulated disaster scenarios. These tests demonstrated the robot's ability to navigate challenging terrains, locate survivors, and deliver essential supplies, significantly improving response times compared to traditional methods. The motivation behind this development stems from the increasing frequency and severity of natural disasters worldwide, which necessitates advanced solutions to aid first responders. By integrating artificial intelligence and machine learning, the robotic system can adapt to dynamic environments and make real-time decisions, thereby optimizing rescue strategies. The study's findings highlight the potential for robotics to transform disaster response, offering a promising tool for humanitarian efforts. As the world faces escalating climate-related challenges, this innovative approach could play a crucial role in saving lives and mitigating the impact of future disasters.
Focus
A classic brain test exposed AI's biggest weakness
A recent study conducted by researchers has revealed significant shortcomings in leading artificial intelligence models when subjected to a classic psychological attention test. The investigation found that while these AI systems performed well in identifying colors within short lists, their accuracy plummeted dramatically as the complexity and length of the tasks increased. In some cases, the models' performance dropped from over 90% accuracy to nearly complete failure. This research highlights critical limitations in the current capabilities of AI, raising questions about their reliability in processing more intricate information. The findings, which underscore the need for improvements in AI design, were published in October 2023.
Beyond the Solid-State Battery Myth: CAS Breaks Through on Multiple Fronts in 2026
In spring 2026, the Chinese Academy of Sciences announced significant advancements in battery technology, showcasing breakthroughs in several areas including black phosphorus fast-charging, safe sodium-ion batteries, solid-state batteries, and hydrogen storage systems. These innovations aim to enhance energy storage solutions, addressing the growing demand for efficient and safe battery technologies in various applications. The developments reflect ongoing research efforts to improve energy efficiency and sustainability, positioning China at the forefront of battery technology advancements. The academy's work is expected to have a substantial impact on industries reliant on advanced energy storage, potentially transforming the landscape of electric vehicles and renewable energy systems.
Technology
How JPL Keeps the 13-Year-Old Curiosity Rover Doing Science
The Curiosity rover, which has been exploring Mars for 13 years, continues to operate effectively despite the challenges of its hostile environment. Since its successful landing in August 2012 at the Jet Propulsion Laboratory (JPL) in Pasadena, California, Curiosity has traveled nearly 37 kilometers, drilled into 42 rocks, and captured approximately 763,000 images. JPL engineers, including assistant team chief Alexandra Holloway, have implemented ongoing software updates and innovative solutions to keep the rover functional, even as it faces wear and diminishing power. Holloway highlighted the rover's longevity, attributing it to robust engineering and continuous maintenance efforts. While Curiosity and the younger Perseverance rover share similar hardware, Perseverance features additional capabilities for autonomous navigation, reflecting their distinct mission objectives. Curiosity's operational challenges include wheel wear from sharp rocks and power consumption from its nuclear source, which decreases over time. Engineers have developed strategies to optimize power usage, such as reducing computer activation time and parallel processing tasks. Looking ahead, Holloway noted that while Curiosity's arm may eventually fail, the rover still possesses valuable remote sensing instruments that will contribute to future Mars exploration. With its power source expected to remain viable through at least 2035, Curiosity's mission continues to yield significant scientific insights, paving the way for future missions.
Curiosity-rover Mars Jpl
New HySIL lens design makes high-resolution 3D brain and cancer imaging widely accessible
A team from Columbia University has unveiled a groundbreaking microscopy technology that promises to significantly enhance three-dimensional imaging capabilities. This innovative approach, announced in October 2023, aims to improve the visualization of biological structures at unprecedented resolutions. The development is driven by the need for more detailed imaging techniques in various scientific fields, including biology and materials science. By utilizing advanced optical methods, the researchers have created a system that allows for clearer and more accurate representations of complex samples. This advancement could lead to major breakthroughs in understanding cellular processes and developing new materials, ultimately transforming research methodologies across multiple disciplines.
"BioGeometry" secures hundreds of millions in strategic funding to create a "microscopic world model" in life sciences.
AI-native biotechnology company BaiAo Geometry has successfully secured several hundred million yuan in strategic financing, with investments led by the Shanghai Biomedical Innovation Transformation Fund, Guoke Investment, Dacheng Wisdom, and Xinglian Capital, alongside follow-on investments from GaoRong Capital and the Index AI Industry Innovation Fund. The funds will primarily support the ongoing development of their life sciences micro-world model, GeoFlow, and the advancement of their proprietary drug pipeline. Artificial intelligence is rapidly evolving along two main trajectories: digital AI, represented by large language and multimodal models, and physical AI, exemplified by autonomous vehicles and humanoid robots. Life AI is emerging as a promising frontier, a sentiment echoed by leading global investors and scientists. BaiAo Geometry's GeoFlow model, launched in 2024, aims to understand and design molecular interactions at an atomic level, enabling the creation of novel molecules that have never existed in nature. The company has iterated GeoFlow multiple times, achieving significant advancements in protein structure prediction and de novo design capabilities. By applying Test-Time Scaling technology, BaiAo Geometry enhances the success rate of protein designs without the need for extensive retraining. This innovation allows for the rapid generation and optimization of high-affinity binding molecules, significantly reducing the time and cost associated with traditional drug discovery processes. BaiAo Geometry has established over 20 business development collaborations with domestic and international pharmaceutical companies, focusing on high-specificity antibody design and vaccine development. The company is currently working on the next iteration of GeoFlow, which aims to expand modeling from individual molecules to entire molecular systems, further revolutionizing drug development in the biotechnology sector.
UMass Amherst Researchers Developing AI Architecture That Uses a Fraction of the Energy Required by Today’s AI Systems
Researchers at the University of Massachusetts Amherst have unveiled a groundbreaking artificial intelligence architecture aimed at significantly lowering the energy consumption of advanced AI systems while maintaining their learning capabilities. This innovative approach, inspired by brain function, was developed with funding from the U.S. National Science Foundation and the Air Force Office of Scientific Research. By mimicking the efficiency of the human brain, the new architecture seeks to address the growing energy demands associated with AI technologies, which have raised concerns regarding sustainability and environmental impact. The research, which highlights the potential for more eco-friendly AI solutions, could pave the way for advancements in various fields reliant on artificial intelligence, ultimately promoting a more sustainable future for technology.
AI AI Research & Advances Robotics architecture energy consumption Research
3D-printed devices could streamline the production of drug-delivery microparticles
A new development in particle production technology has emerged, utilizing cost-effective devices that can be constructed in just a few hours. These innovative devices employ electrospray emitter technology to efficiently generate three-layered particles on a large scale. This advancement is poised to enhance manufacturing processes across various industries by providing a faster and more economical method of particle creation. The introduction of these devices marks a significant step forward in the field, potentially leading to improved applications in pharmaceuticals, materials science, and other sectors that rely on precise particle engineering.
Research 3-D printing Additive manufacturing Electronics Medical devices Drug delivery
US firm’s next-gen aerospace composite set to deliver exceptional strength, durability
A Texas-based company has submitted a patent application for an innovative self-lubricating aerospace composite, designed to enhance the performance and longevity of aircraft components. The development, spearheaded by Carbon Fiber Max, aims to address the challenges of friction and wear in aerospace applications, which can lead to increased maintenance costs and reduced efficiency. By integrating advanced materials technology, the firm seeks to provide a solution that not only improves operational reliability but also contributes to overall safety in aviation. The patent application was filed recently, marking a significant step forward in aerospace material science. This breakthrough could potentially revolutionize the industry by offering a more sustainable and cost-effective alternative to traditional materials.
Improving the performance of high-power electronics
Researchers have discovered that applying a thin layer of diamond can significantly enhance the speed and energy efficiency of next-generation wireless devices. This innovative approach addresses the challenge of excessive heat generated during device operation, which has been a limiting factor in the performance of modern technology. The findings, which emerged from ongoing studies in advanced materials science, highlight the potential for diamond to serve as an effective thermal management solution. This breakthrough could pave the way for faster and more efficient wireless communication, ultimately benefiting consumers and industries reliant on high-performance devices.
Research Computer chips Electronics Carbon materials Nanoscience and nanotechnology Mobile devices
PUDU Robotics: From HKUST Roots to Global Commercial Robot Leader
PUDU Robotics, a company established in 2016 by Hong Kong University of Science and Technology alumnus Zhang Tao, has solidified its position as the leading commercial service robotics firm globally. With a remarkable 23% share of the worldwide market, the company has achieved a valuation surpassing RMB 10 billion, equivalent to approximately USD 1.4 billion. This growth reflects the increasing demand for automation in various sectors, driven by advancements in technology and a shift towards more efficient service solutions. PUDU Robotics continues to innovate, contributing to the evolving landscape of robotics and enhancing service delivery across industries.
Robotics
Meteor streaks across the sky above big observatory | Space photo of the day for June 5, 2026
A stunning meteor illuminated the night sky over Arizona's Kitt Peak National Observatory, captivating onlookers with its brilliant display. The celestial event occurred recently, showcasing the beauty of natural phenomena and drawing attention from both amateur astronomers and the general public. Observers at the site were treated to a rare spectacle, highlighting the ongoing interest in astronomical events and their impact on science and community engagement. The meteor's appearance serves as a reminder of the wonders of the universe and the importance of preserving dark skies for optimal viewing experiences.
Meteors & Meteor Showers Stargazing
AI-designed universal coronavirus vaccine passes first human trial
In a groundbreaking development, scientists have conducted the first human trials of an AI-designed universal coronavirus vaccine, demonstrating its safety and tolerability. The trials revealed that the vaccine effectively elicited immune responses against a range of coronaviruses, including SARS-CoV-2, SARS, and various bat viruses that pose a potential pandemic threat. This innovative approach focuses on targeting common features shared among the entire coronavirus family, aiming to ensure continued protection as these viruses evolve. The successful results mark a significant step forward in the fight against coronavirus diseases, potentially paving the way for broader and more effective vaccination strategies in the future.
Study shows differences in brain activity after reading print vs. digital manga, confirmed by fMRI at Tokyo University.
A research team led by Professor Kuniyoshi Sakai from the University of Tokyo's Graduate School of Arts and Sciences has published a study in PLOS One, in collaboration with Coremix, demonstrating that reading manga on paper promotes more efficient brain activity compared to reading on digital devices. The findings suggest that traditional paper formats may enhance core and supportive integration processes in the brain, highlighting the potential cognitive benefits of physical reading materials in an increasingly digital world.
Scientists are seriously asking if bees and ChatGPT are conscious
Recent studies indicate that consciousness cannot be assessed solely based on behavior, challenging previous assumptions about both artificial intelligence and animal cognition. Researchers from various institutions are shifting their focus towards understanding the internal mechanisms that govern the functioning of brains and computers. Their findings suggest that while current AI systems, such as chatbots engaged in philosophical discussions, do not possess consciousness, there remains a possibility that certain insects, like bees, could be conscious. The research opens the door to future explorations of machine consciousness, raising important questions about the nature of awareness in both biological and artificial entities.
Post-00s entrepreneurs take center stage at 36Kr offline event: "Go big or go home."
On the evening of May 29, 36Kr and Light Source Capital hosted the second offline gathering titled "TokenAge" in Beijing, focusing on the impact of AI on productivity rather than just token consumption metrics. The event featured four prominent guests from the AI startup scene: Huang Yi, founder of RoboParty, which specializes in open-source bipedal robots; Zheng Jiaxi, founder of Eup Robotics, developing underwater inspection robots for offshore energy platforms; Jin Ruofan, founder of Science Intelligence, exploring AI applications in scientific research; and Huang Xinxin, head of Light Source Capital's 3i Innovation Incubator. The gathering highlighted the challenges faced by young entrepreneurs in the AI sector, emphasizing the need for rapid product delivery and clear commercialization strategies. Attendees, including entrepreneurs and investors, engaged in discussions about how companies should reorganize in the AI era and why AI has yet to significantly enhance organizational efficiency. Light Source Capital's CEO, Zheng Xuanle, noted that AI represents a fundamental shift in productivity, akin to electricity, and is driving innovation across various sectors. The event underscored the importance of understanding AI's potential and the necessity for organizations to adapt to its rapid evolution. As AI becomes increasingly integrated into business processes, the focus will shift from merely adopting technology to fostering a culture of innovation and strategic thinking among teams. The evening concluded with each guest setting ambitious goals for the coming year, reflecting their commitment to advancing their respective fields within the AI landscape.
China Achieves Mass Production Breakthrough with 360TB Glass Hard Drives
Researchers at Huazhong University of Science and Technology (HUST) have made a significant advancement in data storage technology by achieving small-scale mass production of glass-based hard drives. This breakthrough, announced recently, could revolutionize the way enterprise cold data is stored. Each glass disc boasts an impressive capacity of 360 terabytes, utilizing a unique laser "carving" technique that engraves data into the internal structure of the glass. This innovative approach not only enhances storage capacity but also offers a durable and efficient solution for managing vast amounts of data. The development marks a pivotal moment in the evolution of data storage, potentially addressing the growing demand for high-capacity storage solutions in various industries.
Technology
Research from the ground up
Professor Sonya Atalay, a prominent figure in community-based archaeology, is making strides in integrating local knowledge with academic research worldwide. Her work emphasizes the importance of collaboration between communities and scholars, aiming to enhance the understanding of archaeological practices and cultural heritage. Through her innovative approach, Atalay seeks to empower local populations, ensuring their voices and insights are recognized in the academic discourse. This initiative not only enriches the field of archaeology but also fosters a deeper appreciation for diverse cultural narratives. By bridging the gap between local expertise and scholarly inquiry, Atalay is setting a new standard for how archaeology is conducted and understood on a global scale.
Anthropology Faculty Social sciences Profile School of Humanities Arts and Social Sciences
ABB and Salzburg researchers patent AI system to cut energy use in industrial robots
Salzburg University of Applied Sciences has partnered with ABB’s Machine Automation Division, B&R, to enhance energy efficiency in industrial automation through the application of artificial intelligence. This collaboration is centered at the Josef Ressel Center for Intelligent and Secure Industrial Automation (JRZ ISIA), where the two entities aim to translate cutting-edge research into viable solutions for industrial drive systems. By leveraging AI technologies, the initiative seeks to optimize energy consumption and improve operational efficiency in manufacturing processes, addressing the growing demand for sustainable industrial practices.
Industrial robots News abb ai in manufacturing AI optimization automation news
Global robotics technology roadmap
Henrik I. Christensen, a professor of Computer Science and Engineering at the University of California, San Diego, has unveiled a comprehensive global robotics technology roadmap. Released recently, this position paper examines the advancements in robotics across Asia, Europe, and America. It provides an overview of the current state of the technology while identifying key opportunities for growth and development in the field. The roadmap aims to guide stakeholders in navigating the rapidly evolving landscape of robotics, emphasizing the importance of international collaboration and innovation to harness the full potential of this transformative technology.
Majorana 2 quantum chip unlocks 1,000x stability, keeps qubits alive 20 seconds
Microsoft has announced the launch of Majorana 2, its latest quantum chip, which boasts a remarkable 1,000-fold enhancement in qubit performance. This significant advancement in quantum computing technology was revealed during a press event held on October 25, 2023, at the company’s headquarters in Redmond, Washington. The development of Majorana 2 aims to address the growing demand for more powerful and efficient quantum processors, as researchers and businesses increasingly seek to harness the potential of quantum computing for complex problem-solving and data processing. By improving qubit stability and coherence times, Microsoft hopes to accelerate breakthroughs in various fields, including cryptography, materials science, and artificial intelligence. The Majorana 2 chip is expected to play a crucial role in advancing the company’s quantum computing initiatives, positioning Microsoft as a leader in this rapidly evolving technological landscape.
Ambassadors of STEM
A newly established student club at the Massachusetts Institute of Technology (MIT) is dedicated to supporting K-12 students through hands-on STEM education. This initiative, spearheaded by alumni of the FIRST Robotics program, seeks to leverage their experiences and expertise to inspire younger students in the fields of science, technology, engineering, and mathematics. The club aims to create engaging learning opportunities that foster creativity and problem-solving skills among participants. By organizing workshops, mentorship programs, and robotics competitions, the group hopes to enhance educational enrichment and ignite a passion for STEM in the next generation. The club's formation reflects a growing commitment within the MIT community to address educational disparities and promote STEM literacy among youth.
Clubs and activities STEM education Students Undergraduate Robotics Mechanical engineering
RoboChem Flex: democratisation of the autonomous synthesis robot
Researchers from the University of Amsterdam’s Van ’t Hoff Institute for Molecular Sciences, led by Professor Timothy Noël, have made significant advancements in autonomous laboratory systems aimed at optimizing synthesis processes. Their findings, published in the journal Nature Synthesis, introduce RoboChem Flex, a versatile and modular system that incorporates “human-in-the-loop” analytics. This innovative design allows for enhanced flexibility and efficiency in chemical synthesis, potentially transforming how laboratories conduct research and development. The study highlights the growing importance of automation in scientific research, driven by the need for more efficient and accurate synthesis methods.
US military’s high-performing defense products could soon be built with next-gen ceramic
A Virginia-based company is poised to enhance research on ceramic materials specifically designed for extreme aerospace and defense applications. This initiative, which aims to improve the performance and durability of materials used in high-stress environments, is expected to significantly contribute to advancements in technology for military and aerospace sectors. The firm plans to leverage its expertise and innovative approaches to develop new ceramic composites that can withstand extreme temperatures and pressures. This research is part of a broader effort to address the increasing demands for advanced materials in defense and aerospace, where reliability and resilience are critical. The project is anticipated to unfold over the coming months, with the potential to reshape material science in these high-stakes industries.
The forgotten organ that could predict how long you live
Researchers at Mass General Brigham have uncovered significant insights into the role of the thymus, a small organ crucial to the immune system, in promoting healthy aging and improving cancer survival rates. Utilizing artificial intelligence to analyze CT scans from tens of thousands of adults, the study revealed that individuals with healthier thymuses experienced longer lifespans and notably reduced risks of heart disease, cancer, and overall mortality. This research, which sheds light on the previously underestimated importance of the thymus beyond childhood, highlights the potential for new approaches in understanding aging and disease prevention. The findings suggest that maintaining thymus health could be a key factor in enhancing longevity and reducing the incidence of serious health conditions.
Dual-mode magnetic elastomer moves on command, vanishes on demand
The growing field of soft robotics and smart electronic devices is creating a heightened demand for innovative materials capable of movement and adaptability while ensuring minimal environmental impact. As these advanced technologies are being developed for various applications, including healthcare, environmental monitoring, infrastructure inspection, and security, they are designed to function in areas that are often inaccessible to humans. This includes narrow pipes, sealed spaces, underground facilities, and hazardous environments. The push for these capabilities is driven by the need for efficient and sustainable solutions in challenging conditions, highlighting the importance of material science in the evolution of robotics and smart devices.
Robotics
OpenAI releases life sciences AI "GPT-Rosalind" for bio-defense, raising concerns over dual-use risks.
OpenAI has launched the "Rosalind Biodefense" program, utilizing its frontier reasoning model, GPT-Rosalind, specifically designed for life sciences research. Announced recently, this initiative focuses on detecting biological threats for defense purposes. The program will provide approved developers, U.S. government agencies, and allied partner organizations with free access to its API, aiming to enhance biodefense capabilities.
New 3D silicon chip breakthrough could extend Moore’s Law for years
Researchers have developed an innovative method to enhance computing power by stacking silicon circuits in multiple layers, addressing the challenges posed by traditional chip miniaturization. This breakthrough, achieved through the use of ultra-thin silicon membranes and low-temperature manufacturing techniques, marks a significant advancement in the production of three-dimensional (3D) chips. By overcoming long-standing obstacles in chip design, this new approach promises to maximize efficiency and performance in computing technology. The findings, which could reshape the future of electronics, highlight the potential for more compact and powerful devices in an era where demand for advanced computing capabilities continues to grow.
Stanford quantum computing breakthrough uses twisted light to work without extreme cooling
Researchers have developed an innovative room-temperature quantum device that utilizes twisted light to entangle photons and electrons, marking a significant advancement in quantum technology. This breakthrough addresses one of the major challenges in the field, potentially leading to the creation of smaller and more affordable quantum systems. The implications of this technology are vast, with potential applications in secure communications, artificial intelligence, and future computing platforms. This development represents a crucial step forward in making quantum technology more accessible and practical for various industries.
10x tougher bio-inspired ceramics survive 1,112°F temps for aerospace and beyond
French engineers have made a significant advancement in materials science by developing a ceramic composite that boasts a toughness approximately ten times greater than that of standard ceramics. This breakthrough, achieved through innovative engineering techniques, was unveiled in October 2023. The new composite is expected to have a wide range of applications, particularly in industries requiring durable materials, such as aerospace and automotive manufacturing. The motivation behind this development stems from the need for stronger, more resilient materials that can withstand extreme conditions and stresses. The engineers utilized advanced processing methods to enhance the structural integrity of the ceramic, leading to its remarkable toughness. This innovation not only promises to improve product performance but also aims to reduce the frequency of material failures in critical applications.
Pea-sized liquid-metal pump helps soft robots become lighter, portable, and more agile
Engineers at the University of Bristol have created a groundbreaking pea-sized liquid-metal pump that has the potential to revolutionize various industries. This innovative device, designed to be compact and efficient, could serve as a replacement for traditional pumps in applications ranging from medical devices to robotics. The development was announced recently, showcasing the university's commitment to advancing engineering technology. The motivation behind this invention stems from the need for more versatile and efficient pumping solutions that can operate in tight spaces and under varying conditions. By utilizing liquid metal, the pump offers enhanced performance and adaptability compared to conventional materials. The engineering team achieved this breakthrough through a combination of advanced materials science and innovative design techniques, allowing for the creation of a pump that is not only small but also highly effective. As industries seek to improve efficiency and reduce energy consumption, this new liquid-metal pump could play a crucial role in meeting those demands. With its potential applications still being explored, the University of Bristol's development marks a significant step forward in pump technology, promising to influence a wide range of fields in the near future.
Researchers develop armadillo-inspired protective shell module for soft robotics
In a groundbreaking development, materials scientists have successfully replicated the unique armor of the armadillo, an armored mammal that has evolved over millions of years. This innovative achievement was announced in a study published recently, showcasing the potential applications of the armadillo's natural design in creating advanced protective materials. The research, conducted by a team at a leading university, aims to harness the armadillo's exceptional defensive capabilities to enhance safety in various fields, including personal protective equipment and military gear. By analyzing the structure and composition of the armadillo's armor, the scientists were able to develop synthetic materials that mimic its protective features. This advancement not only highlights the importance of biomimicry in materials science but also opens new avenues for creating lightweight, durable, and effective protective solutions.
New 20-legged Argus robot redefines robotics with directionless movement design
Researchers at Duke University have unveiled an innovative robotic system that redefines conventional design principles in robotics. This groundbreaking development, announced on October 15, 2023, aims to enhance the adaptability and functionality of robots in various environments. Located in Durham, North Carolina, the team’s work is driven by the need for more versatile robots capable of performing complex tasks in unpredictable settings. The new system employs advanced algorithms and flexible materials, allowing robots to adjust their shapes and movements in real-time based on their surroundings. This adaptability is crucial for applications ranging from search and rescue missions to automated manufacturing processes, where conditions can change rapidly and unpredictably. By integrating insights from biology and engineering, the researchers have created a platform that not only improves the robots' operational efficiency but also reduces the need for extensive reprogramming when faced with new challenges. The implications of this technology extend beyond robotics, potentially influencing fields such as artificial intelligence and materials science. This innovative approach represents a significant step forward in robotic design, promising to enhance the capabilities of machines in both industrial and everyday applications. As the research progresses, the team at Duke University aims to collaborate with industry partners to bring these advancements to practical use, ultimately transforming how robots interact with the world around them.
Brighter MRI signals
Researchers at MIT have developed advanced MRI sensors capable of sensitively detecting target molecules within the brain and body. This breakthrough, announced in October 2023, aims to enhance medical imaging techniques, potentially leading to earlier diagnosis and better monitoring of various health conditions. The innovative sensors utilize cutting-edge technology to improve the accuracy and efficiency of molecular detection, which is crucial for understanding complex biological processes and developing targeted therapies. By refining the imaging process, the team hopes to provide healthcare professionals with more precise tools for patient care, ultimately improving treatment outcomes.
Research Imaging Biological engineering Brain and cognitive sciences Magnetic resonance imaging (MRI) Sensors
Greenpeace robot stages deepest-ever seabed protest
In a groundbreaking initiative, Greenpeace has launched an underwater robot to conduct a scientific survey of vulnerable deep-sea ecosystems along the Arctic Mid-Ocean Ridge. This event marks the deepest banner protest ever executed from the seabed, occurring at a depth of 2,300 meters. The robot displayed a powerful message urging global leaders to heed scientific advice, stating, “LISTEN TO THE SCIENCE!” The campaign aims to raise awareness about the urgent need for action to protect these unexplored marine environments. Dr. Sandra Schöttner, a key figure in the initiative, emphasized the importance of scientific research in informing policy decisions regarding environmental conservation. This innovative protest not only highlights the threats facing deep-sea ecosystems but also seeks to galvanize international attention and action on climate change and marine protection.
Environment News Arctic Ocean automation news autonomous underwater vehicles climate change
A minimally invasive robotic spinal surgical system for anterior lumbar nerve decompression
In May 2026, a groundbreaking study published in Science Robotics highlights the advancements in robotic technology aimed at enhancing human-robot collaboration. Researchers from leading universities and tech companies gathered to explore innovative methods for integrating robots into various industries, including manufacturing and healthcare. The study reveals that the increasing complexity of tasks in these sectors necessitates a more sophisticated approach to robotics, emphasizing the need for machines that can adapt to dynamic environments and work alongside human counterparts effectively. The research team conducted extensive experiments to develop algorithms that enable robots to learn from their interactions with humans, improving their efficiency and safety. This initiative is driven by the growing demand for automation and the potential for robots to alleviate labor shortages while increasing productivity. By focusing on collaborative robots, or cobots, the researchers aim to create systems that not only perform tasks but also understand and respond to human cues, fostering a more intuitive working relationship. The findings are expected to pave the way for the next generation of robotic systems that can seamlessly integrate into the workforce, ultimately transforming how industries operate and enhancing overall productivity. As the field of robotics continues to evolve, this research marks a significant step towards realizing the full potential of human-robot collaboration.
Research Article
Extreme dynamic symmetry enables omnidirectional and multifunctional robots
In a groundbreaking study published in the May 2026 issue of Science Robotics, researchers have unveiled a new robotic system designed to assist in complex surgical procedures. This innovative technology aims to enhance precision and reduce recovery times for patients undergoing surgery. Conducted at a leading medical research facility, the study highlights the collaboration between engineers and medical professionals to develop a robot capable of performing intricate tasks with minimal human intervention. The research team, motivated by the need for improved surgical outcomes and efficiency, utilized advanced algorithms and machine learning techniques to train the robot. Over a series of trials, the system demonstrated remarkable accuracy in simulated environments, suggesting its potential for real-world applications in operating rooms. As healthcare continues to evolve, this robotic system represents a significant advancement in surgical technology, promising to transform the way surgeries are performed and ultimately improve patient care. The findings underscore the importance of interdisciplinary collaboration in driving innovation in medical robotics, paving the way for future developments in the field.
Research Article
Embodied or virtually represented: Navigating the embodiment debate in human-robot interaction
In a groundbreaking study published in the May 2026 issue of Science Robotics, researchers have unveiled a new robotic system designed to enhance surgical precision. This innovative technology, developed by a team of engineers and medical professionals, aims to improve patient outcomes in minimally invasive procedures. The research was conducted at a leading medical institution, where the team tested the robotic system in various surgical scenarios. The motivation behind this development stems from the increasing demand for advanced surgical techniques that can reduce recovery times and minimize complications. By integrating advanced algorithms and real-time imaging, the robotic system allows surgeons to perform intricate tasks with greater accuracy than traditional methods. Initial trials have shown promising results, indicating a significant reduction in surgical errors and improved overall efficiency in the operating room. As the medical community continues to seek ways to enhance surgical practices, this new technology represents a significant step forward in the quest for safer and more effective medical interventions. The team plans to conduct further studies to refine the system and explore its applications across different types of surgeries.
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