news
« BACK
Environment - Computer Science - 11:05 
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 
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.
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 - 08.08.2023 
Planting ideas in a computer’s head
Researchers at ETH Zurich have found a new attack on AMD computer chips in which the attacker plants an "idea" in the computer without it noticing. Using that attack, it was possible to leak data from anywhere in the computer's memory. Everyone has, at one time or another, experienced how dreams can influence our moods and actions.
Physics - Computer Science - 13.07.2023 
An easier way to learn quantum processes
Scientists show that even a few simple examples are enough for a quantum machine-learning model, the -quantum neural networks-, to learn and predict the behavior of quantum systems, bringing us closer to a new era of quantum computing. Imagine a world where computers can unravel the mysteries of quantum mechanics, enabling us to study the behavior of complex materials or simulate the intricate dynamics of molecules with unprecedented accuracy.
Astronomy / Space Science - Computer Science - 29.06.2023 
Unveiling the origins of merging black holes in galaxies like our own
Harnessing advanced simulation tools, a team of scientists from UNIGE, Northwestern University and University of Florida shed light on the enigmatic nature of these celestial "beasts". Black holes, some of the most captivating entities in the cosmos, possess an immense gravitational pull so strong that not even light can escape.
Physics - Computer Science - 15.06.2023 
Schrödinger's cat makes better qubits
Drawing from Schrödinger's cat thought experiment, scientists at EPFL have built a "critical cat code" qubit that uses bosons to store and process information in a way that is more reliable and resistant to errors than previous qubit designs. Quantum computing uses the principles of quantum mechanics to encode and elaborate data, meaning that it could one day solve computational problems that are intractable with current computers.
Health - Computer Science - 12.06.2023 
DeepBreath: Using deep learning to identify respiratory disease
A new AI algorithm developed at EPFL and University Hospital Geneva (HUG) will power an intelligent stethoscope - Pneumoscope - with the potential to improve the management of respiratory disease in low-resource and remote settings. As air passes through the labyrinth of small passageways in our lungs, it makes a distinctive whooshing sound.
Computer Science - 26.05.2023 
Safe Aid: Protecting privacy in humanitarian operations
Researchers have worked with the International Committee of the Red Cross (ICRC) to develop a first of its kind, digital system to support humanitarian aid distribution. The design uses tokens to decentralize the storage and processing of recipients information, reducing the risk of harm, and uses advanced cryptography to enable accountability.
Computer Science - Mathematics - 26.05.2023 
’For very small problem sizes a classical computer is faster’
In theory, quantum computers vastly outperform classical computers in terms of computing speed. For them to do so in practice, it is necessary to design more and novel high-speed algorithms, says ETH supercomputing specialist Torsten Hoefler. Quantum computers promise to be capable of solving some computational problems much faster than classical computers.
Computer Science - 23.05.2023 
Researchers successfully apply quantum computing in practice
Compared to classical computers, quantum computers can solve complex problems in parallel and thus faster, but they are also more prone to errors. ZHAW researchers show how a hybrid approach can be used to exploit the strengths of quantum computers in a targeted manner. Quantum computers not only know the state 0 and 1, but can also represent several states between 0 and 1 by means of so-called qubits - analogous to bits of classical computers - and thus calculate many possible results simultaneously.
Life Sciences - Computer Science - 04.05.2023 
Predict what a mouse sees by decoding brain signals
A research team from EPFL has developed a novel machine-learning algorithm that can reveal the hidden structure in data recorded from the brain, predicting complex information such as what mice see. Is it possible to reconstruct what someone sees based on brain signals alone? The answer is no, not yet.
Physics - Computer Science - 13.03.2023 
High-performance detectors to combat spies
A team from the University of Geneva and ID Quantique has developed single-photon detectors with unprecedented performance. These results open new perspectives for quantum cryptography. How can we combat data theft, which is a real issue for society? Quantum physics has the solution. Its theories make it possible to encode information (a qubit) in single particles of light (a photon) and to circulate them in an optical fibre in a highly secure way.
Life Sciences - Computer Science - 07.03.2023
Innovation - Computer Science - 03.02.2023 
Race against the machine - now knowledge work is also changing
OpenAI and the recently viral chatbot ChatGPT - in the course of the digital transformation, algorithms, database systems and artificial intelligence are increasingly taking over tasks that were previously performed by humans. What do these changes mean for employees? Peter Kels and Kai Dröge put it in perspective.
Life Sciences - Computer Science - 30.01.2023 
A neuro-chip to manage brain disorders
Researchers have combined low-power chip design, machine learning algorithms, and soft implantable electrodes to produce a neural interface that can identify and suppress symptoms of various neurological disorders. Mahsa Shoaran of the Integrated Neurotechnologies Laboratory in the School of Engineering collaborated with Stéphanie Lacour in the Laboratory for Soft Bioelectronic Interfaces to develop NeuralTree: a closed-loop neuromodulation system-on-chip that can detect and alleviate disease symptoms.
Physics - Computer Science - 12.01.2023 
Integrated photonic circuits could help close the 'terahertz gap'
Researchers have collaborated with those at Harvard and ETH Zurich on a new thin-film circuit that, when connected to a laser beam, produces finely tailorable terahertz-frequency waves. The device opens up a world of potential applications in optics and telecommunications. Researchers led by Cristina Benea-Chelmus in the Laboratory of Hybrid Photonics ( HYLAB ) in EPFL's School of Engineering have taken a big step toward successfully exploiting the so-called terahertz gap, which lies between about 300-30,000 gigahertz (0.3 to 30 THz) on the electromagnetic spectrum.
Chemistry - Computer Science - 03.01.2023 
Entire colour palette of inexpensive fluorescent dyes
Researchers have developed a modular system for the simple and inexpensive production of security inks. It is based on polymers and could also be used in solar power plants and screens in the future. Novel fluorescent dyes developed by researchers are relatively simple and inexpensive to produce. The dyes are polymers with a modular structure.
Computer Science - Environment - 12.12.2022 
Urgent call to protect Madagascar’s biodiversity through AI
A large-scale analysis of Madagascar's unique biodiversity has just been conducted with the participation of over 50 international organizations. Madagascar is one of the world's biodiversity hotspots, with 82% of its plant species and 90% of its vertebrates found nowhere else on Earth. The results of the study, which rely on AI-based tools developed by Daniele Silvestro of the Swiss Institute of Bioinformatics and his team at the University of Fribourg, were published in two papers in the journal Science.
Computer Science - 12.12.2022 
AI enables more effective humanitarian action
Researchers from EPFL and ETH Zurich, working together with the International Committee of the Red Cross (ICRC) and Bin Khalifa Unversity (Qatar), have developed a program that can generate population density estimates with unparalleled precision, and only needs a rough estimate at the regional level to learn.
Computer Science
Results 1 - 20 of 222.
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.
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.
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".
Researchers at ETH Zurich have found a new attack on AMD computer chips in which the attacker plants an "idea" in the computer without it noticing. Using that attack, it was possible to leak data from anywhere in the computer's memory. Everyone has, at one time or another, experienced how dreams can influence our moods and actions.
Scientists show that even a few simple examples are enough for a quantum machine-learning model, the -quantum neural networks-, to learn and predict the behavior of quantum systems, bringing us closer to a new era of quantum computing. Imagine a world where computers can unravel the mysteries of quantum mechanics, enabling us to study the behavior of complex materials or simulate the intricate dynamics of molecules with unprecedented accuracy.
Harnessing advanced simulation tools, a team of scientists from UNIGE, Northwestern University and University of Florida shed light on the enigmatic nature of these celestial "beasts". Black holes, some of the most captivating entities in the cosmos, possess an immense gravitational pull so strong that not even light can escape.
Drawing from Schrödinger's cat thought experiment, scientists at EPFL have built a "critical cat code" qubit that uses bosons to store and process information in a way that is more reliable and resistant to errors than previous qubit designs. Quantum computing uses the principles of quantum mechanics to encode and elaborate data, meaning that it could one day solve computational problems that are intractable with current computers.
A new AI algorithm developed at EPFL and University Hospital Geneva (HUG) will power an intelligent stethoscope - Pneumoscope - with the potential to improve the management of respiratory disease in low-resource and remote settings. As air passes through the labyrinth of small passageways in our lungs, it makes a distinctive whooshing sound.
Researchers have worked with the International Committee of the Red Cross (ICRC) to develop a first of its kind, digital system to support humanitarian aid distribution. The design uses tokens to decentralize the storage and processing of recipients information, reducing the risk of harm, and uses advanced cryptography to enable accountability.
In theory, quantum computers vastly outperform classical computers in terms of computing speed. For them to do so in practice, it is necessary to design more and novel high-speed algorithms, says ETH supercomputing specialist Torsten Hoefler. Quantum computers promise to be capable of solving some computational problems much faster than classical computers.
Compared to classical computers, quantum computers can solve complex problems in parallel and thus faster, but they are also more prone to errors. ZHAW researchers show how a hybrid approach can be used to exploit the strengths of quantum computers in a targeted manner. Quantum computers not only know the state 0 and 1, but can also represent several states between 0 and 1 by means of so-called qubits - analogous to bits of classical computers - and thus calculate many possible results simultaneously.
A research team from EPFL has developed a novel machine-learning algorithm that can reveal the hidden structure in data recorded from the brain, predicting complex information such as what mice see. Is it possible to reconstruct what someone sees based on brain signals alone? The answer is no, not yet.
A team from the University of Geneva and ID Quantique has developed single-photon detectors with unprecedented performance. These results open new perspectives for quantum cryptography. How can we combat data theft, which is a real issue for society? Quantum physics has the solution. Its theories make it possible to encode information (a qubit) in single particles of light (a photon) and to circulate them in an optical fibre in a highly secure way.
Novel computer components inspired by brain cells
Researchers at Empa, ETH Zurich and the "Politecnico di Milano" are developing a new type of computer component that is more powerful and easier to manufacture than its predecessors. Inspired by the human brain, it is designed to process large amounts of data fast and in an energy-efficient way. In many respects, the human brain is still superior to modern computers.
Researchers at Empa, ETH Zurich and the "Politecnico di Milano" are developing a new type of computer component that is more powerful and easier to manufacture than its predecessors. Inspired by the human brain, it is designed to process large amounts of data fast and in an energy-efficient way. In many respects, the human brain is still superior to modern computers.
OpenAI and the recently viral chatbot ChatGPT - in the course of the digital transformation, algorithms, database systems and artificial intelligence are increasingly taking over tasks that were previously performed by humans. What do these changes mean for employees? Peter Kels and Kai Dröge put it in perspective.
Researchers have combined low-power chip design, machine learning algorithms, and soft implantable electrodes to produce a neural interface that can identify and suppress symptoms of various neurological disorders. Mahsa Shoaran of the Integrated Neurotechnologies Laboratory in the School of Engineering collaborated with Stéphanie Lacour in the Laboratory for Soft Bioelectronic Interfaces to develop NeuralTree: a closed-loop neuromodulation system-on-chip that can detect and alleviate disease symptoms.
Researchers have collaborated with those at Harvard and ETH Zurich on a new thin-film circuit that, when connected to a laser beam, produces finely tailorable terahertz-frequency waves. The device opens up a world of potential applications in optics and telecommunications. Researchers led by Cristina Benea-Chelmus in the Laboratory of Hybrid Photonics ( HYLAB ) in EPFL's School of Engineering have taken a big step toward successfully exploiting the so-called terahertz gap, which lies between about 300-30,000 gigahertz (0.3 to 30 THz) on the electromagnetic spectrum.
Researchers have developed a modular system for the simple and inexpensive production of security inks. It is based on polymers and could also be used in solar power plants and screens in the future. Novel fluorescent dyes developed by researchers are relatively simple and inexpensive to produce. The dyes are polymers with a modular structure.
A large-scale analysis of Madagascar's unique biodiversity has just been conducted with the participation of over 50 international organizations. Madagascar is one of the world's biodiversity hotspots, with 82% of its plant species and 90% of its vertebrates found nowhere else on Earth. The results of the study, which rely on AI-based tools developed by Daniele Silvestro of the Swiss Institute of Bioinformatics and his team at the University of Fribourg, were published in two papers in the journal Science.
Researchers from EPFL and ETH Zurich, working together with the International Committee of the Red Cross (ICRC) and Bin Khalifa Unversity (Qatar), have developed a program that can generate population density estimates with unparalleled precision, and only needs a rough estimate at the regional level to learn.
