news 2023

Researchers at Graz University of Technology have developed a new measuring system that can monitor the static and dynamic condition of buildings using just a few antennas. From the outside, the Kölnbrein Dam in Carinthia, which is operated by Verbund and is Austria's highest dam, and the DC Tower in Vienna, Austria's highest building, do not have much in common, but for a research group led by Caroline Schönberger and Werner Lienhart from the Institute of Engineering Geodesy and Measurement Systems at TU Graz, they are of equal scientific interest.

More than a decade of research at TU/e, led by Fons van der Sommen, has culminated in a scientific publication in The Lancet Digital Health this December. The study focuses on the use of artificial intelligence (AI) to detect incipient esophageal cancer in people with Barrett's esophagus. It is 2011.

An article from the Image and Signal Processing (ISP) research group of the University of Valencia (UV), led by Gustau Camps-Valls and which has used Artificial Intelligence (AI) as a tool, concludes that the socioeconomic level explains the population movements that occur after catastrophes generated by extreme natural phenomena such as floods, windstorms and landslides.

"Minimum viewing time" benchmark gauges image recognition complexity for AI systems by measuring the time needed for accurate human identification. Imagine you are scrolling through the photos on your phone and you come across an image that at first you can't recognize. It looks like maybe something fuzzy on the couch; could it be a pillow or a coat? After a couple of seconds it clicks - of course! That ball of fluff is your friend's cat, Mocha.

Eyewitness statements are one of the key sources for identifying perpetrators - and one of the most error-prone. For example, the Innocence Project - an organisation that works to clear up miscarriages of justice in the US - states that incorrect eyewitness statements played a role in 64 per cent of the cases in which it was able to secure the release of people who had been wrongly convicted.

Sophisticated new analysis of the physical processes which create the sounds of speech could help empower people with speech impairments and create new applications for voice recognition technologies, researchers say. Sophisticated new analysis of the physical processes which create the sounds of speech could help empower people with speech impairments and create new applications for voice recognition technologies, researchers say.

How do chatbots based on the transformer architecture decide what to pay attention to in a conversation? They've made their own machine learning algorithms to tell them Chatbot users often recommend treating a series of prompts like a conversation, but how does the chatbot know what you're referring back to? A new study reveals the mechanism used by transformer models-like those driving modern chatbots-to decide what to pay attention to.

A researcher at the Autonomous University of Madrid (UAM) has succeeded in simulating on an IBM quantum computer the creation of quantum entanglement by means of the gravitational field. The work, published in the journal EPJ Quantum Technology , could help in the experimental validation of gravity as a quantum force.

Being amazed by powerful graphics is not enough for a person to feel fully engaged in a VR world - even more important is a strong emotional response. Published on Monday 11 December 2023 Last updated on Monday 11 December 2023 Being wowed by powerful graphics is not enough for a person to feel fully immersed in a virtual-reality (VR) world - a strong emotional response to the simulated environment is essential too, according to a new study from the University of Bath.

Researchers have developed an algorithm to train an analog neural network just as accurately as a digital one, enabling the development of more efficient alternatives to power-hungry deep learning hardware. With their ability to process vast amounts of data through algorithmic 'learning' rather than traditional programming, it often seems like the potential of deep neural networks like Chat-GPT is limitless.

Discovery of giant exomoons around the planets Kepler-1625b and Kepler-1708b called into question Just as it can be assumed that the stars in our Milky Way are orbited by planets, moons around these exoplanets should not be uncommon. This makes it all the more difficult to detect them. So far, only two of the more than 5300 known exoplanets have been found to have moons.

Popular virtual assistant technology reinforces stereotyped and sexist expectations of gendered labour, according to a new study University of Waterloo professor and Canada Research Chair in Technology and Social Change Dr. Lai-Tze Fan analyzed hundreds of Amazon's virtual assistant Alexa's voice-driven skills.

Researchers have developed an adaptable algorithm that could improve road safety by predicting when drivers are able to safely interact with in-vehicle systems or receive messages, such as traffic alerts, incoming calls or driving directions.

Johns Hopkins computer scientists introduce a new method to reduce the size of multilingual language models M ultilingual language models, or MLMs, are machine learning models that can predict, generate, and extract text from more than one language. They're useful for cross-lingual communication, translation, and more-but tend to work best when they're only focused on a few languages.

Current hand prostheses already work with the help of an app or sensors attached to the forearm. New research at the Technical University of Munich (TUM) shows this: A better understanding of muscle activity patterns enables more intuitive and natural control of the prostheses. This requires a network of 128 sensors and the use of artificial intelligence .

Theoretical predictions of quantum field theory confirmed experimentally for the first time Innsbruck scientists led by Peter Zoller have developed a new tool for determining entanglement in many-particle systems and demonstrated it in an experiment. The method enables investigations of previously inaccessible physical phenomena and can contribute to a better understanding of quantum materials.

AI breakthrough may lead to highly personalized medicine in the treatment of serious diseases Machine learning is now helping researchers analyze the makeup of unfamiliar cells, which could lead to more personalized medicine in the treatment of cancer and other serious diseases. Researchers at the University of Waterloo developed GraphNovo, a new program that provides a more accurate understanding of the peptide sequences in cells.

Computing with a combination of light and chargeless excitons could beat heat losses and more, but excitons need new modes of transport Study: Enhanced Exciton-Drift Transport through Suppressed Diffusion in One-Dimensional Guides (DOI: 10.1021/acsnano.3c04870) A new kind of "wire- for moving excitons, developed at the University of Michigan, could help enable a new class of devices, perhaps including room temperature quantum computers.

In the Christian Doppler Laboratory under his leadership, Franz Wotawa has developed test and monitoring procedures with company partner AVL that make common driver assistance systems safer. Intelligent Speed Assist, Emergency Brake Assist, Emergency Lane Keeping Assist, Driver Drowsiness Assist, Reversing Assist, Low Concentration Warning System or Emergency Brake Lights - from July 2024, a whole range of safety and driver assistance systems will be mandatory for all new cars in the European Union.

A research team from EPFL and Wageningen University has developed a new artificial intelligence model that recognises floating plastics much more accurately in satellite images than before. This could help to systematically remove plastic litter from the oceans with ships. Our society relies heavily on plastic products and the amount of plastic waste is expected to increase in the future.