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Computer Science - Physics - 29.09.2023 
’Munich is becoming a hotspot for quantum computing software’
Interview with Prof. Robert Wille on quantum computing software Most of us use software applications on a daily basis, for example when writing emails or surfing the internet. But how will future programs look like when new technologies such as quantum computers arrive on the scene? Prof. Robert Wille and his team are already developing the software of tomorrow today.
Computer Science - 28.09.2023
Physics - Computer Science - 25.09.2023 
New qubit circuit enables quantum operations with higher accuracy
The advance brings quantum error correction a step closer to reality. In the future, quantum computers may be able to solve problems that are far too complex for today's most powerful supercomputers. To realize this promise, quantum versions of error correction codes must be able to account for computational errors faster than they occur.
Environment - Computer Science - 22.09.2023 
AI Increases Precision in Plant Observation
Evolutionary Biology Artificial intelligence (AI) can help plant scientists collect and analyze unprecedented volumes of data, which would not be possible using conventional methods. Researchers at the University of Zurich (UZH) have now used big data, machine learning and field observations in the university's experimental garden to show how plants respond to changes in the environment.
Physics - Computer Science - 21.09.2023
Computer Science - Environment - 21.09.2023 
Cloud Services Without Servers: What’s Behind It
A new generation of cloud services is on the rise. It is based on the paradigm of "serverless computing", which is an active research topic at the Institute for Computer Science in Würzburg. In cloud computing, commercial providers make computing resources available on demand to their customers over the Internet.
Physics - Computer Science - 21.09.2023 
Virtual rail noise - close to reality
At Empa, acoustics experts have been investigating for years how noise is generated by passenger and cargo trains - and which technical and structural measures are particularly effective to prevent or at least reduce it. Their findings have now been incorporated into the SILVARSTAR project resulting in a simulation tool for rail noise that can help in practice.
Pedagogy - Computer Science - 20.09.2023 
New teaching materials improve statistical numeracy
Data visualizations, including diagrams, are a frequent sight in the media. Histograms, in particular, are popular for their ability to present data concisely. Unfortunately, many people find these diagrams challenging to interpret. Lonneke Boels conducted an investigation into why this occurs, using artificial intelligence to analyse eye movements.
Life Sciences - Computer Science - 20.09.2023 
Artificial Intelligence tools shed light on millions of proteins
A research team at the University of Basel and the SIB Swiss Institute of Bioinformatics uncovered a treasure trove of uncharacterised proteins. Embracing the recent deep learning revolution, they discovered hundreds of new protein families and even a novel predicted protein fold. The study has now been published in "Nature".
Computer Science - Mathematics - 18.09.2023
Life Sciences - Computer Science - 18.09.2023
Health - Computer Science - 13.09.2023 
World-first AI foundation model for eye care to supercharge global efforts to prevent blindness
Researchers at UCL and Moorfields Eye Hospital have developed an artificial intelligence (AI) system that has the potential to not only identify sight-threatening eye diseases but also predict general health, including heart attacks, stroke, and Parkinson's disease. RETFound , one of the first AI foundation models in healthcare, and the first in ophthalmology, was developed using millions of eye scans from the NHS.
Health - Computer Science - 13.09.2023
Computer Science - Pedagogy - 13.09.2023 
Helping computer vision and language models understand what they see
Researchers use synthetic data to improve a model's ability to grasp conceptual information, which could enhance automatic captioning and question-answering systems. Powerful machine-learning algorithms known as vision and language models, which learn to match text with images, have shown remarkable results when asked to generate captions or summarize videos.
Computer Science - Mathematics - 12.09.2023 
AI model speeds up high-resolution computer vision
The system could improve image quality in video streaming or help autonomous vehicles identify road hazards in real-time. An autonomous vehicle must rapidly and accurately recognize objects that it encounters, from an idling delivery truck parked at the corner to a cyclist whizzing toward an approaching intersection.
Physics - Computer Science - 11.09.2023
Computer Science - Physics - 08.09.2023 
Efficient training for artificial intelligence
New physics-based self-learning machines could replace the current artificial neural networks and save energy Artifical intelligence not only affords impressive performance, but also creates significant demand for energy. The more demanding the tasks for which it is trained, the more energy it consumes.
Materials Science - Computer Science - 01.09.2023
Computer Science - 31.08.2023 
A system to keep cloud-based gamers in sync
By synchronizing media streams transmitted from the cloud to two devices, researchers could improve cloud gaming and AR/VR applications. Cloud gaming, which involves playing a video game remotely from the cloud, witnessed unprecedented growth during the lockdowns and gaming hardware shortages that occurred during the heart of the Covid-19 pandemic.
Physics - Computer Science - 29.08.2023 
Chessboard-like operation of world’s largest controllable quantum dot array
Researchers from Delft established a way to address many quantum dots with only a few control lines using a chessboard-like method. This enabled the operation of the largest gate-defined quantum dot system ever. Their result is an important step in the development of scalable quantum systems for practical quantum technology.
Computer Science
Results 1 - 20 of 178.
Interview with Prof. Robert Wille on quantum computing software Most of us use software applications on a daily basis, for example when writing emails or surfing the internet. But how will future programs look like when new technologies such as quantum computers arrive on the scene? Prof. Robert Wille and his team are already developing the software of tomorrow today.
Addressing Copyright, Compensation Issues in Generative AI
A team in the School of Computer Science's Generative Intelligence Lab collaborated with Adobe Research and the University of California, Berkeley, to develop two algorithms to help generative AI models take important steps on these issues. The first algorithm prevents these models from generating copyrighted materials, while the second develops a way to compensate human creators when models use their work to generate an image.
A team in the School of Computer Science's Generative Intelligence Lab collaborated with Adobe Research and the University of California, Berkeley, to develop two algorithms to help generative AI models take important steps on these issues. The first algorithm prevents these models from generating copyrighted materials, while the second develops a way to compensate human creators when models use their work to generate an image.
The advance brings quantum error correction a step closer to reality. In the future, quantum computers may be able to solve problems that are far too complex for today's most powerful supercomputers. To realize this promise, quantum versions of error correction codes must be able to account for computational errors faster than they occur.
Evolutionary Biology Artificial intelligence (AI) can help plant scientists collect and analyze unprecedented volumes of data, which would not be possible using conventional methods. Researchers at the University of Zurich (UZH) have now used big data, machine learning and field observations in the university's experimental garden to show how plants respond to changes in the environment.
VeriQuB: a European project for ensuring the reliability of quantum systems
How can we guarantee the reliability of quantum systems? This is the challenge being addressed by an ambitious European research project called VeriQuB, coordinated by the QAT team (Inria, École normale supérieure - PSL, CNRS) at the Inria Paris centre. Its aim is to identify new methods for verifying the performance of quantum computers using bosons.
How can we guarantee the reliability of quantum systems? This is the challenge being addressed by an ambitious European research project called VeriQuB, coordinated by the QAT team (Inria, École normale supérieure - PSL, CNRS) at the Inria Paris centre. Its aim is to identify new methods for verifying the performance of quantum computers using bosons.
A new generation of cloud services is on the rise. It is based on the paradigm of "serverless computing", which is an active research topic at the Institute for Computer Science in Würzburg. In cloud computing, commercial providers make computing resources available on demand to their customers over the Internet.
At Empa, acoustics experts have been investigating for years how noise is generated by passenger and cargo trains - and which technical and structural measures are particularly effective to prevent or at least reduce it. Their findings have now been incorporated into the SILVARSTAR project resulting in a simulation tool for rail noise that can help in practice.
Data visualizations, including diagrams, are a frequent sight in the media. Histograms, in particular, are popular for their ability to present data concisely. Unfortunately, many people find these diagrams challenging to interpret. Lonneke Boels conducted an investigation into why this occurs, using artificial intelligence to analyse eye movements.
A research team at the University of Basel and the SIB Swiss Institute of Bioinformatics uncovered a treasure trove of uncharacterised proteins. Embracing the recent deep learning revolution, they discovered hundreds of new protein families and even a novel predicted protein fold. The study has now been published in "Nature".
Multi-AI collaboration helps reasoning and factual accuracy in large language models
Researchers use multiple AI models to collaborate, debate, and improve their reasoning abilities to advance the performance of LLMs while increasing accountability and factual accuracy. An age-old adage, often introduced to us during our formative years, is designed to nudge us beyond our self-centered, nascent minds: "Two heads are better than one." This proverb encourages collaborative thinking and highlights the potency of shared intellect.
Researchers use multiple AI models to collaborate, debate, and improve their reasoning abilities to advance the performance of LLMs while increasing accountability and factual accuracy. An age-old adage, often introduced to us during our formative years, is designed to nudge us beyond our self-centered, nascent minds: "Two heads are better than one." This proverb encourages collaborative thinking and highlights the potency of shared intellect.
Evolution wired human brains to act like supercomputers
Now, scientists have a mathematical model that closely matches how the human brain processes visual information Scientists have confirmed that human brains are naturally wired to perform advanced calculations, much like a high-powered computer, to make sense of the world through a process known as Bayesian inference.
Now, scientists have a mathematical model that closely matches how the human brain processes visual information Scientists have confirmed that human brains are naturally wired to perform advanced calculations, much like a high-powered computer, to make sense of the world through a process known as Bayesian inference.
Researchers at UCL and Moorfields Eye Hospital have developed an artificial intelligence (AI) system that has the potential to not only identify sight-threatening eye diseases but also predict general health, including heart attacks, stroke, and Parkinson's disease. RETFound , one of the first AI foundation models in healthcare, and the first in ophthalmology, was developed using millions of eye scans from the NHS.
How an archeological approach can help leverage biased data in AI to improve medicine
Although computer scientists may initially treat data bias and error as a nuisance, researchers argue it's a hidden treasure trove for reflecting societal values. The classic computer science adage "garbage in, garbage out" lacks nuance when it comes to understanding biased medical data, argue computer science and bioethics professors from MIT, Johns Hopkins University, and the Alan Turing Institute in a new opinion piece published in a recent edition of the New England Journal of Medicine (NEJM) .
Although computer scientists may initially treat data bias and error as a nuisance, researchers argue it's a hidden treasure trove for reflecting societal values. The classic computer science adage "garbage in, garbage out" lacks nuance when it comes to understanding biased medical data, argue computer science and bioethics professors from MIT, Johns Hopkins University, and the Alan Turing Institute in a new opinion piece published in a recent edition of the New England Journal of Medicine (NEJM) .
Researchers use synthetic data to improve a model's ability to grasp conceptual information, which could enhance automatic captioning and question-answering systems. Powerful machine-learning algorithms known as vision and language models, which learn to match text with images, have shown remarkable results when asked to generate captions or summarize videos.
The system could improve image quality in video streaming or help autonomous vehicles identify road hazards in real-time. An autonomous vehicle must rapidly and accurately recognize objects that it encounters, from an idling delivery truck parked at the corner to a cyclist whizzing toward an approaching intersection.
Researchers make a significant step towards reliably processing quantum information
Using laser light, researchers have developed the most robust method currently known to control individual qubits made of the chemical element barium. The ability to reliably control a qubit is an important achievement for realizing future functional quantum computers. This new method, developed at the University of Waterloo's Institute for Quantum Computing (IQC), uses a small glass waveguide to separate laser beams and focus them four microns apart, about four-hundredths of the width of a single human hair.
Using laser light, researchers have developed the most robust method currently known to control individual qubits made of the chemical element barium. The ability to reliably control a qubit is an important achievement for realizing future functional quantum computers. This new method, developed at the University of Waterloo's Institute for Quantum Computing (IQC), uses a small glass waveguide to separate laser beams and focus them four microns apart, about four-hundredths of the width of a single human hair.
New physics-based self-learning machines could replace the current artificial neural networks and save energy Artifical intelligence not only affords impressive performance, but also creates significant demand for energy. The more demanding the tasks for which it is trained, the more energy it consumes.
Global digital volume correlation of large volumes: a sub-volume adaptive meshing approach
Digital Volume Correlation (DVC) is a powerful image analysis technique used in the field of materials science and engineering to study the mechanical behaviour and deformation of complex 3D structures. By comparing voxel intensities in a pair of 3D digital images captured at different states of loading or deformation, DVC allows researchers to track and quantify displacements, strains, and other mechanical properties with high precision and non-invasively.
Digital Volume Correlation (DVC) is a powerful image analysis technique used in the field of materials science and engineering to study the mechanical behaviour and deformation of complex 3D structures. By comparing voxel intensities in a pair of 3D digital images captured at different states of loading or deformation, DVC allows researchers to track and quantify displacements, strains, and other mechanical properties with high precision and non-invasively.
By synchronizing media streams transmitted from the cloud to two devices, researchers could improve cloud gaming and AR/VR applications. Cloud gaming, which involves playing a video game remotely from the cloud, witnessed unprecedented growth during the lockdowns and gaming hardware shortages that occurred during the heart of the Covid-19 pandemic.
Researchers from Delft established a way to address many quantum dots with only a few control lines using a chessboard-like method. This enabled the operation of the largest gate-defined quantum dot system ever. Their result is an important step in the development of scalable quantum systems for practical quantum technology.
