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New miniature laboratories are ensuring that artificial intelligence (AI) doesn't make mistakes. They provide a controlled test environment where algorithms and AI models can be checked before being put to work under real-life conditions. The aim is for AI to work reliably. Anyone who develops an AI solution sometimes goes on a journey into the unknown.

For the first time, researchers at the University of Waterloo's Institute for Quantum Computing (IQC) and the University of Innsbruck in Austria have performed a quantum simulation of a two-dimensional particle physics theory on a qudit quantum computer, bringing us closer to understanding nature at its most fundamental level.

Research into elementary particles and their interactions is of central importance for our understanding of the universe. A team from the Universities of Innsbruck and Waterloo shows how a new type of quantum computer opens a door into the world of particle physics. The standard model of particle physics provides the best description to date of the forces and particles that make up our world.

A new AI weather prediction system, developed by researchers from the University of Cambridge, can deliver accurate forecasts tens of times faster and using thousands of times less computing power than current AI and physics-based forecasting systems. The system, Aardvark Weather, has been supported by the Alan Turing Institute, Microsoft Research and the European Centre for Medium Range Weather Forecasts.

The Euclid mission delivers its first batch of data-valuable information to help unravel, among other things, the mystery of dark matter. The European Space Agency's (ESA) Euclid mission has unveiled its first public data, offering unprecedented insights into the structure and evolution of the Universe.

When a person's hearing and vision are uncompromised and function at a relatively high level, the human brain is able to take in various sights and sounds from any environment and seamlessly allow said person to perceive what's happening around them. But how does it work? Spoiler alert: There's more than meets the eye.

Scientists at EPFL and IBM Research have developed a compact optical amplifier based on a photonic chip that vastly outperforms traditional optical amplifiers in both bandwidth and efficiency. This breakthrough could reshape data center interconnects, AI accelerators, and high-performance computing.

Researchers have achieved a remarkable result: capturing and studying phase changes in quantum hardware, which hold hold promise for next-generation technologies like quantum computing and ultra-sensitive sensors. Phase transitions, like water freezing into ice, are a familiar part of our world. But in quantum systems, they can behave even more dramatically, with quantum properties such as Heisenberg uncertainty playing a central role.

An international research team including the group led by Tracy Northup has developed the first operating system designed for quantum networks: QNodeOS . The research, published in Nature , marks a major step forward in transforming quantum networking from a theoretical concept to a practical technology that could revolutionize the future of the internet.  "The goal of our research is to bring quantum network technology to all.

Breakthrough achievement paves the way for practical quantum internet applications Delft, The Netherlands: Quantum Internet Alliance (QIA) researchers at TU Delft, QuTech, University of Innsbruck, INRIA and CNRS recently announced the creation of the first operating system designed for quantum networks: QNodeOS.

New research shows artificial intelligence can accelerate species discovery, improve ecosystem tracking and help meet global conservation targets  A new study from McGill researchers suggests the use of artificial intelligence (AI) to rapidly analyze vast amounts of biodiversity data could revolutionize conservation efforts by enabling scientists and policymakers to make better-informed decisions.

Researchers at the University of Twente, in collaboration with the City University of Hong Kong, have designed a cutting-edge programmable photonic chip in a thin-film lithium niobate platform, an important material in photonics. Published in Nature Communications, this work paves the way for next-generation high-performance radar and communication applications.

Universidad Carlos III de Madrid (UC3M), in collaboration with Escuela Politécnica del Ecuador and the ASEPEYO hospitals in Barcelona and Madrid, has developed a system of exercise video games (or exergames) that promotes the rehabilitation of people with mobility problems in their hands and wrists.

Eminem, Jay-Z, LL Cool J, or Nas-it is often the star rappers who claim sovereignty over the sound of a track through their voice and lyrics. The subject literature reveals contradictory views about who really determines the sound of a music production. In a study published in the Journal of the Audio Engineering Society, a team of musicologists led by Tim Ziemer from the University of Hamburg has now been able to prove that it is clearly the producers.

Classical models of collective behavior fail to explain the mechanisms driving desert locust swarms Desert locust swarms affect millions of lives worldwide.

Scientists based at the AWS Center for Quantum Computing on Caltech's campus have made a leap forward in figuring out how to suppress errors in quantum computers, a pesky problem that continues to be the greatest hurdle to building the machines of the future. Quantum computers, which are based on the seemingly magical properties of the quantum realm, hold promise for use in many different fields, including medicine, materials science, cryptography, and fundamental physics.

A new AI system could help prevent elephant poaching in Malaysia, according to researchers at Cardiff University. PoachNet is a new machine-learning tool designed by integrating deep learning, elephant GPS data, and elephant behavioural knowledge, to help predict and prevent poaching in Sabah. Cardiff University research from the School of Computer Science and Informatics and School of Biosciences used machine-learning and a smart database to create a system that can predict poaching risks.

To extend the lifespan of existing railway bridges and conserve resources, researchers are working with Swiss Federal Railways (SBB) to develop new prediction models using machine learning algorithms. An AI assistant also helps civil engineers with the design of new bridges. Images of a collapsed tram bridge over the River Elbe in Dresden were seen around the world in September 2024.

International research team led by Göttingen University develops user-friendly software method Identifying and delineating cell structures in microscopy images is crucial for understanding the complex processes of life. This task is called "segmentation" and it enables a range of applications, such as analysing the reaction of cells to drug treatments, or comparing cell structures in different genotypes.

An interdisciplinary research team from Leipzig University and the Saxon AI center ScaDS.AI have developed a new approach that combines methods of artificial intelligence (AI) and biophysical modeling. This new approach can be used to develop new active substances such as antibodies and vaccines, for example for pandemic prevention.