THE ORIGINAL COLLECTION · SINCE 2010

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Technology

KAIST's pioneering VR precision technology & choreography tool receives spotlights at CHI 2025​

Accurate pointing in virtual spaces is essential for seamless interaction. If pointing is not precise, selecting the desired object becomes challenging, breaking user immersion and reducing overall experience quality. KAIST researchers have developed a technology that offers a vivid, lifelike experience in virtual space, alongside a new tool that assists choreographers throughout the creative process. KAIST (President Kwang-Hyung Lee) announced on May 13th that a research team led by Professor Sang Ho Yoon of the Graduate ...

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Recently, a joint Chinese–American research team led by Dr. HU Han from the Institute of Vertebrate Paleontology and Paleoanthropology (IVPP) of the Chinese Academy of Sciences and Dr. Jingmai O’Conno

Recently, a joint Chinese–American research team led by Dr. HU Han from the Institute of Vertebrate Paleontology and Paleoanthropology (IVPP) of the Chinese Academy of Sciences and Dr Jingmai O’Connor from the Field Museum of Natural History (Chicago) announced the discovery and scientific description of the 14th known specimen of Archaeopteryx, known as the Chicago Archaeopteryx. Owing to its exceptional and exquisite preservation, the team was able to use advanced techniques like high-resolution CT scanning and 3D reconstruction to investigate the skeletal, ...

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Digital reconstruction reveals 80 steps of prehistoric life

A dinosaur’s 40-second journey more than 120 million years ago has been brought back to life by a University of Queensland-led research team using advanced digital modelling techniques. Dr Anthony Romilio from UQ’s Dinosaur Lab analysed and reconstructed the Phoenix Trackway, the longest documented set of footprints made by a predator walking on two legs in East Asia. “For the first time this dinosaur’s movements have been reconstructed step by step, revealing how it walked, ...

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GRIT remaps the world’s rivers, branching into the unknown to aid global flood modelling

GRIT remaps the world’s rivers, branching into the unknown to aid global flood modelling Key research findings GRIT is the first global river network to include river splits, canals, and multi-threaded channels—features that were missing from previous reference datasets. The network includes 19.6 million km of mapped rivers and 67 thousand bifurcations, with accurate flow directions and channel data. It is already outperforming previous river models in terms of accuracy, especially in flat, flood-prone, or heavily populated areas. A team led by researchers at the University of Oxford has created the most complete map of the world’s rivers ever made offering ...

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Cyberbullying in any form can be traumatizing for kids

As concern grows over adolescent mental health, a new national study adds to the growing body of research showing that cyberbullying should be considered an adverse childhood experience (ACE) – a category of childhood trauma linked to long-term emotional, psychological and physical harm. While many assume that only extreme forms of online harassment – like threats or identity-based attacks – can cause significant harm, the findings suggest a more troubling reality: even less visible or indirect forms of cyberbullying ...

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Technology

First machine learning model developed to calculate the volume of all glaciers on Earth

VENICE – A team of researchers led by Niccolò Maffezzoli, “Marie Curie” fellow at Ca’ Foscari University of Venice and the University of California, Irvine, and an associate member of the Institute of Polar Sciences of the National Research Council of Italy, has developed the first global model based on artificial intelligence to calculate the ice thickness distribution of all the glaciers on Earth. The model has been published in the journal Geoscientific Model Development and is expected to become a reference tool for those studying future glacier melt scenarios. Accurate knowledge of glacier volumes is essential for projecting future sea level ...

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Technology

Researchers develop new metallic materials using data-driven frameworks and explainable AI

Found in knee replacements and bone plates, aircraft components, and catalytic converters, the exceptionally strong metals known as multiple principal element alloys (MPEA) are about to get even stronger through to artificial intelligence. Sanket Deshmukh, associate professor in chemical engineering, and his team have designed a new MPEA with superior mechanical properties using a data-driven framework that leverages the supercomputing power of explainable artificial intelligence (AI). Their findings, supported by funding from the National Science Foundation, were recently published in Nature’s npj Computational ...

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The key to spotting dyslexia early could be AI-powered handwriting analysis

BUFFALO, N.Y. – A new University at Buffalo-led study outlines how artificial intelligence-powered handwriting analysis may serve as an early detection tool for dyslexia and dysgraphia among young children. The work, presented in the journal SN Computer Science, aims to augment current screening tools which are effective but can be costly, time-consuming and focus on only one condition at a time. It could eventually be a salve for the nationwide shortage of speech-language pathologists and occupational therapists, who each play a key role in diagnosing ...

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Technology

A new study provides insights into cleaning up noise in quantum entanglement

Quantum entanglement — a connection between particles that produces correlations beyond what is classically possible — will be the backbone of future quantum technologies, including secure communication, cloud quantum computing, and distributed sensing. But entanglement is fragile; noise from the environment degrades entangled states over time, leaving scientists searching for methods to improve the fidelity of noisy entangled states. Now, researchers at the University of Chicago Pritzker School of Molecular ...

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Technology

Artificial intelligence and genetics can help farmers grow corn with less fertilizer

New York University scientists are using artificial intelligence to determine which genes collectively govern nitrogen use efficiency in plants such as corn, with the goal of helping farmers improve their crop yields and minimize the cost of nitrogen fertilizers. “By identifying genes-of-importance to nitrogen utilization, we can select for or even modify certain genes to enhance nitrogen use efficiency in major US crops like corn,” said Gloria Coruzzi, the Carroll & Milton Petrie Professor in NYU’s Department of Biology and Center for Genomics and Systems Biology and the senior author of the study, ...

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Technology

Energy and memory: A new neural network paradigm

(Santa Barbara, Calif.) — Listen to the first notes of an old, beloved song. Can you name that tune? If you can, congratulations — it’s a triumph of your associative memory, in which one piece of information (the first few notes) triggers the memory of the entire pattern (the song), without you actually having to hear the rest of the song again. We use this handy neural mechanism to learn, remember, solve problems and generally navigate our reality. “It’s a network effect,” said UC Santa Barbara mechanical engineering professor Francesco Bullo, explaining that associative ...

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Groups of AI agents spontaneously form their own social norms without human help, suggests study

A new study suggests that populations of artificial intelligence (AI) agents, similar to ChatGPT, can spontaneously develop shared social conventions through interaction alone. The research from City St George’s, University of London and the IT University of Copenhagen suggests that when these large language model (LLM) artificial intelligence (AI) agents communicate in groups, they do not just follow scripts or repeat patterns, but self-organise, reaching consensus on linguistic norms much like human communities. The study has been published today in the journal, Science Advances. LLMs are powerful deep learning algorithms that can understand ...

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Technology

Handy octopus robot can adapt to its surroundings

Scientists inspired by the octopus’s nervous system have developed a robot that can decide how to move or grip objects by sensing its environment. The team from the University of Bristol’s Faculty of Science and Engineering designed a simple yet smart robot which uses fluid flows of air or water to coordinate suction and movement as octopuses do with hundreds of suckers and multiple arms. The study, published today in the journal Science Robotics, shows how a soft robot can use suction flow not just to stick to things, but also to sense ...

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Technology

Special report highlights LLM cybersecurity threats in radiology

OAK BROOK, Ill. – In a new special report, researchers address the cybersecurity challenges of large language models (LLMs) and the importance of implementing security measures to prevent LLMs from being used maliciously in the health care system. The special report was published today in Radiology: Artificial Intelligence, a journal of the Radiological Society of North America (RSNA). LLMs, such as OpenAI’s GPT-4 and Google’s Gemini, are a type of artificial intelligence (AI) that can understand and generate ...

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Technology

Team develops digital lab for data- and robot-driven materials science

Researchers at the University of Tokyo and their collaborators have developed a digital laboratory system that fully automates the material synthesis and the structural and physical property evaluation of thin-film samples. With the digital laboratory, or dLab, the team can autonomously synthesize thin-film samples and measure their material properties. The system demonstrates advanced automatic and autonomous material synthesis for data- and robot-driven materials science. The current research is published in the journal Digital Discovery. Machine learning, robotics and data are deemed vital to the discovery of ...

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Technology

Novel technology enables better understanding of complex biological samples

Osaka, Japan – Tissues consist of a heterogenous mixture of different cell types, complicating our understanding of their biological functions and studies of disease. Now, a multi-institutional team led by The University of Osaka has developed and provided proof-of-concept of a new technology to visualize the distribution of components within a single cell, paving the way for a much greater understanding of disease in complex biological samples. t-SPESI (tapping-mode scanning probe electrospray ionization) is a technique that allows analysis of the spatial layout of molecules in a sample. Multiple micro-samples of different regions of ...

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Researchers demonstrate 3-D printing technology to improve comfort, durability of ‘smart wearables’

Imagine a T-shirt that could monitor your heart rate or blood pressure. Or a pair of socks that could provide feedback on your running stride. It may be closer than you think, with new research from Washington State University demonstrating a particular 3-D ink printing method for so-called smart fabrics that continue to perform well after repeated washings and abrasion tests. The research, published in the journal ACS Omega, represents a breakthrough in smart fabric comfort and durability, as well as using a process that is more environmentally friendly. Hang Liu, a textile researcher at WSU and the corresponding author of the paper, ...

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Expert view: AI meets the conditions for having free will – we need to give it a moral compass

Martela’s latest study finds that generative AI meets all three of the philosophical conditions of free will — the ability to have goal-directed agency, make genuine choices and to have control over its actions. It will be published in the journal AI and Ethics on Tuesday. Drawing on the concept of functional free will as explained in the theories of philosophers Daniel Dennett and Christian List, the study examined two generative AI agents powered by large language models (LLMs): the Voyager agent in Minecraft and fictional ‘Spitenik’ killer drones with the cognitive function of today's unmanned aerial vehicles. ...

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Astrophysicists explore our galaxy’s magnetic turbulence in unprecedented detail using a new computer model

Astronomers have developed a groundbreaking computer simulation to explore, in unprecedented detail, magnetism and turbulence in the interstellar medium (ISM) — the vast ocean of gas and charged particles that lies between stars in the Milky Way Galaxy. Described in a new study published today in Nature Astronomy, the model is the most powerful to date, requiring the computing capability of the SuperMUC-NG supercomputer at the Leibniz Supercomputing Centre in Germany. It directly challenges our understanding of how magnetized turbulence operates in astrophysical environments. James Beattie, ...

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Technology

AI could be the future for preserving marginalized cultures, say experts

Promising new AI tools are being developed to protect and preserve the cultural traditions and heritage of marginalized or indigenous communities, including language, folklore, oral traditions, and community wisdom. These advances have prompted industry experts to highlight the potential for culturally aware AI systems, which can ensure unique traditions are not only remembered but also shared and reimagined across generations. But to continue this positive trend, tech companies must ensure the AI-based systems they develop are representative and build bridges across cultures, experts ...

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CrystalTac: vision-based tactile sensor family fabricated via rapid monolithic manufacturing

A research paper by scientists at Imperial College London presented CrystalTac, a vision-based tactile sensor family fabricated via rapid monolithic manufacturing. The research paper, published on Apr. 10, 2025 in the journal Cyborg and Bionic Systems. Recently, vision-based tactile sensors (VBTSs) have gained popularity in robotics systems. The sensing mechanisms of most VBTSs can be categorized based on the type of tactile features they capture. Each category requires specific structural designs to convert physical contact into optical information. The complex architectures of VBTSs pose challenges for traditional manufacturing techniques ...

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Soft robots with Cy5: an “intake and work” imaging technique for intraoperative navigation of gastric lesion

A research paper by scientists at Zhejiang University presented . The research paper, published on Apr. 11, 2025 in the journal Cyborg and Bionic Systems. Laparoscopic surgery for early gastric cancer has gained global popularity due to its notable short-term benefits and comparable oncological prognosis to open surgery. However, accurately locating early gastric cancer during laparoscopic surgery remains a challenge, as these tumors are limited to the mucous and submucosal membranes, making them undetectable through gross analysis of the serosa layer in the intraperitoneal view. ...

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SNU-Harvard researchers jointly build next-gen swarm robots using simple linked particles

Seoul National University College of Engineering announced that a joint research team from Seoul National University and Harvard University has developed a next-generation swarm robot system inspired by nature—capable of movement, exploration, transport, and cooperation, all without the need for precise sensors or centralized control. The study was led by Professor Ho-Young Kim, Dr. Kyungmin Son, and master’s student Kwanwoo Kim at SNU’s Department of Mechanical Engineering, and Professor L. Mahadevan and Dr. Kimberly Bowal at Harvard. Their approach connects simple, active ...

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Noninvasive intracranial source signal localization and decoding with high spatiotemporal resolution

A research paper by scientists from Tianjin University proposed a noninvasive method for locating and decoding intracranial endogenous signals with high spatiotemporal resolution. The research paper, published on Apr. 9, 2025 in the journal Cyborg and Bionic Systems. High spatiotemporal resolution of noninvasive electroencephalography (EEG) signals is an important prerequisite for fine brain–computer manipulation. However, conventional scalp EEG has a low spatial resolution due to the volume conductor effect, making it difficult ...

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