Doctor Elodie Bouzbib, from Public University of Navarra (UPNA), together with Iosune Sarasate, Unai Fernández, Manuel López-Amo, Iván Fernández, Iñigo Ezcurdia and Asier Marzo (the latter two, members of the Institute of Smart Cities) have succeeded, for the first time, in displaying three-dimensional graphics in mid-air that can be manipulated with the hands. ‘What we see in films and call holograms are typically volumetric displays,’ says Bouzbib, the first author of the work. ‘These are graphics that appear in mid-air…

Researchers at Fraunhofer IZM have developed a laser welding process that works without adhesives to connect Photonic Integrated Circuits (PICs) with optical fibers. Uniquely, the technology can be used at cryogenic temperatures down to a mere four Kelvin, 269.15° centigrade below zero. The direct quartz-to-quartz connections created by the technology promise more reliable, faster, and cheaper fiber-PIC- connections that will revolutionize quantum technology applications. Low temperatures are needed to observe quantum effects in action. These can have a real impact…

SmoothDetector’s multimodal approach uses probabilistic models and deep learning to spot misleading information Fake news across social media is becoming ever easier to spread and more difficult to detect. That’s thanks to increasingly powerful artificial intelligence (AI) and cuts to fact-checking resources by major platforms. This is especially concerning during elections, when local and international actors can use images, text, audio and video content to spread misinformation. However, just as AI and algorithms can propagate fake news, they can be…

Despite its uniquely rich inventory of organic molecules, the moon may be able to support only a minuscule amount of biomass, a bioenergetic modeling study suggests. Titan, Saturn’s largest moon, is a strange, alien world. Covered in rivers and lakes of liquid methane, icy boulders and dunes of soot-like “sand,” its topography has long fascinated scientists and invited speculation on whether lifeforms might lurk beneath the moon’s thick, hazy atmosphere. An international team of researchers co-led by Antonin Affholder at…

UTSA researchers recently completed one of the most comprehensive studies to date on the risks of using AI models to develop software. In a new paper, they demonstrate how a specific type of error could pose a serious threat to programmers that use AI to help write code. Joe Spracklen, a UTSA doctoral student in computer science, led the study on how large language models (LLMs) frequently generate insecure code. His team’s paper has been accepted for publication at the USENIX…

Cedars-Sinai-led study of AI-enabled virtual visits found that AI recommendations were graded higher than physician decisions Do physicians or artificial intelligence (AI) offer better treatment recommendations for patients examined through a virtual urgent care setting? A new Cedars-Sinai study shows physicians and AI models have distinct strengths. The late-breaking study presented at the American College of Physicians Internal Medicine Meeting and published simultaneously in the Annals of Internal Medicine compared initial AI treatment recommendations to final recommendations of physicians who…

The German Fraunhofer Institute for Digital Media Technology IDMT has launched the “lokalRAIN” research project in collaboration with Pan Acoustics GmbH from Wolfenbüttel. The goal of the project is to develop an acoustic rain sensor and a cost-efficient sensor network for the precise real-time detection and transmission of precipitation data. The project is funded by the German Federal Ministry for Economic Affairs and Climate Action and runs from October 2024 to June 2026. Accurately measuring precipitation remains a major challenge,…

Groundbreaking research by physicists at The City College of New York is being credited for a novel discovery regarding the interaction of electronic excitations via spin waves. The finding by the Laboratory for Nano and Micro Photonics (LaNMP) team headed by physicist Vinod Menon could open the door to future technologies and advanced applications such as optical modulators, all-optical logic gates, and quantum transducers. The work is reported in the journal Nature Materials. The researchers showed the emergence of interaction…

Warwick astronomers discover the first double white dwarf binary, destined to explode as type 1a supernova University of Warwick astronomers have discovered an extremely rare, high mass, compact binary star system only ~150 light years away. These two stars are on a collision course to explode as a type 1a supernova, appearing 10 times brighter than the moon in the night sky. Type 1a supernovae are a special class of cosmic explosion, famously used as ‘standard candles’ to measure distances…

Mayor improvement for particle research at CERN Scientists working together in the “Antihydrogen Experiment: Gravity, Interferometry, Spectroscopy” (AEgIS) and other experiments at CERN’s Antimatter Factory, such ALPHA and GBAR, are on a mission to measure the free-fall of antihydrogen under Earth’s gravity with high precision, each using a different technique. AEgIS’s approach involves producing a horizontal beam of antihydrogen and measuring its vertical displacement using a device called a moiré deflectometer that reveals tiny deviations in motion and a detector…

New machine learning model cuts fluid simulation time from 45 minutes to 3 AI has created a sea change in society; now, it is setting its sights on the sea itself. Researchers at Osaka Metropolitan University have developed a machine learning-powered fluid simulation model that significantly reduces computation time without compromising accuracy. Their fast and precise technique opens up potential applications in offshore power generation, ship design and real-time ocean monitoring. Accurately predicting fluid behavior is crucial for industries relying…

A machine-learning algorithm to study the behavior of proteins within cells and to predict their ability to trigger neurodegenerative diseases such as Amyotrophic Lateral Sclerosis (ALS), Parkinson’s, and Alzheimer’s. The study published in Genome Biology A research group led by Gian Gaetano Tartaglia, Principal Investigator at the Italian Institute of Technology (IIT), developed a machine-learning algorithm to study the behavior of proteins within cells and to predict their ability to trigger neurodegenerative diseases such as Amyotrophic Lateral Sclerosis (ALS), Parkinson’s,…

An AI model trained on large amounts of genetic data can predict whether bacteria will become antibiotic-resistant. The new study shows that antibiotic resistance is more easily transmitted between genetically similar bacteria and mainly occurs in wastewater treatment plants and inside the human body. “By understanding how resistance in bacteria arises, we can better combat its spread. This is crucial to protect public health and the healthcare system’s ability to treat infections,” says Erik Kristiansson, Professor at the Department of…

The research team now believes that Aguas Zarcas is strong because it avoided collisions in space and did not have the cracks that weaken many meteorites. In the Pinball World of Asteroids, a Mudball Meteorite Avoided Collisions March 31, 2025, Mountain View, CA — In April 2019, rare primitive meteorites fell near the town of Aguas Zarcas in northern Costa Rica. In an article published online in the journal Meteoritics & Planetary Science, an international team of researchers describe the…

As part of its commitment to unraveling the universe’s mysteries through sustained support of the astrophysics community, the Flatiron Institute is securing the future of MESA (Modules for Experiments in Stellar Astrophysics), an open-source software suite that has transformed how researchers model the evolution of stars. As MESA’s creator, Bill Paxton, steps down, the Flatiron Institute’s Center for Computational Astrophysics (CCA) is stepping up to support MESA’s need for ongoing maintenance and continued development. CCA has hired Philip Mocz as…

Direct splitting: electrochemical process uses carbon dioxide to produce oxygen To mitigate global climate change, emissions of the primary culprit, carbon dioxide, must be drastically reduced. A newly developed process helps solve this problem: CO2 is directly split electrochemically into carbon and oxygen. As a Chinese research team reports in the journal Angewandte Chemie, oxygen could also be produced in this way under water or in space—without requiring stringent conditions such as pressure and temperature. Leafy plants are masters of…