Researchers at EPFL have found a way to teach quantum computers to learn and process information using principles inspired by quantum mechanics. By training quantum neural networks (QNNs) on a few simple examples called 'product states', the computer can effectively grasp complex dynamics of entangled quantum systems.
ClearTau overcomes limitations of previous methods by producing Tau fibrils efficiently and consistently. This allows researchers to study the development of tauopathies and develop disease-specific therapeutics.
Early hallucinations in Parkinson's disease patients are linked to faster cognitive decline. A study published in Nature Mental Health found that those with early hallucinations experience more rapid cognitive decline over the next five years. The researchers hope to develop neurotechnology methods for early detection and treatment.
Scientists have developed a method to engineer tubulins with precise post-translational modifications, revealing a new interplay between polyglutamylation and detyrosination. This breakthrough uncovers the tubulin code's connection to microtubule function and its regulation in cells.
Researchers have developed a new method to control the movement of individual DNA molecules through a nanopore, allowing for higher accuracy in sequencing and analysis. This breakthrough has the potential to improve diagnostic and sequencing applications, including peptide sequencing.
The Mori3 robot is a polygon shape-shifting robot designed for space travel, capable of morphing into any 3D object and adapting to various environments. Its versatility makes it an ideal candidate for communication and external repairs in spacecraft.
Researchers have developed a novel encoding scheme called critical Schrödinger cat code, which could revolutionize the reliability of quantum computers. This technique uses a hybrid regime to operate close to the critical point of a phase transition, resulting in enhanced error suppression capabilities.
EPFL researchers used Chat-GPT to design a working robotic tomato harvester, showcasing the AI tool's potential for collaborating with humans in robotic design. The study highlights opportunities and risks of applying artificial intelligence to robotics, emphasizing the need for careful evaluation of LLMs' role in design.
Researchers have published a first study on the mechanics of surgical knots, revealing a simple, robust emergent behavior vis-à-vis knot strength. The study analyzed 50-100 knots tied by a plastic surgeon and found relationships between knot strength and pretension, friction, and number of throws.
A team of researchers has developed a new method to measure the mass of quasar host galaxies with unprecedented precision using strong gravitational lensing. This technique allows scientists to better understand galaxy formation and black hole development in the distant universe.
EPFL scientists develop a novel concept, called the active 'plasmacoustic metalayer', which can be controlled to cancel out noise. The device is more compact than conventional solutions, absorbing 100% of incoming sound intensity and offering tunable acoustic reflection over a broad bandwidth.
Researchers have made a quantum matter breakthrough by tuning density waves in a unitary Fermi gas, creating a new type of matter with extreme interactions. This discovery could lead to a better understanding of complex materials and potentially improve the development of quantum-based technologies.
Researchers have developed a novel computational approach to design protein-peptide ligand binding complexes that can trigger complex cellular responses. The new biosensors can sense flexible compounds and provide optimal sensing of molecular signals, potentially leading to improved therapeutic applications.
Researchers at EPFL have developed a technology that allows amputees to feel temperature variations in their phantom limbs, enabling them to discern what they're touching. This breakthrough has led to the development of bionic prosthetics that can provide realistic touch and sensations.
Researchers developed human calprotectin ligands based on peptides to detect and quantify the protein in stool samples or serum levels, offering a more accurate and controlled way of detecting biomarkers.
The study presents a novel, deployable electrode array for minimally invasive craniosurgery, featuring spiraled arms that unfold over sensitive brain tissue. The device's eversion mechanism allows for arbitrary size deployment with minimal compression on the brain.
Researchers at EPFL have computationally designed novel protein binders that attach seamlessly to key targets, including the SARS-CoV-2 spike protein, using deep learning-generated 'fingerprints' to characterize millions of protein fragments. This method demonstrates therapeutic potential for rapidly designing protein-based therapeutics.
The CEBRA algorithm captures brain dynamics with high accuracy, allowing for the prediction of complex information such as visual stimuli and arm movements in primates. By analyzing brain signals alone, researchers can decode hidden structure in data, enabling new insights into how the brain processes information.
Researchers have developed a fast, cheap, and easy method to test antibiotic resistance in bacteria, using optical nanomotion detection. The technique can determine sensitivity or resistance of bacterial cells to antibiotics in under two hours, with significant implications for clinical and research applications.
Researchers at EPFL have developed a novel imaging technique using cryogenic transmission electron tomography and deep learning to visualize the nanostructure of platinum catalyst layers in fuel cells. This breakthrough reveals the heterogenous thickness of ionomer, a crucial component that influences catalyst performance.
The system uses a parabolic dish to concentrate solar radiation, which is then converted into hydrogen, oxygen, and heat through photoelectrochemical cells. The output power exceeds 2 kilowatts, achieving record-high efficiency for its scale, with potential applications in industrial, commercial, and residential energy.
Researchers developed a novel optical imaging approach to observe cell secretions in space and time, revealing key heterogeneity and potential for pharmaceutical development. The method has tremendous potential for high-throughput screening of individual cells and studying delicate antibody-secreting human donor B-cells.
A new study by EPFL researchers has calibrated the best cosmic yardsticks to unprecedented accuracy, further amplifying the Hubble tension. The Hubble constant is measured in kilometers per second per megaparsec and has puzzled astrophysicists and cosmologists worldwide.
A new computational model of the thalamic microcircuit in mouse brains offers detailed insights into its role in brain function and dysfunction, particularly in relation to sensory processing and spindles. The model replicates network-level experimental findings across different brain states, shedding light on inhibitory rebound and th...
Researchers at EPFL have developed a novel solution for wearable assistive technologies by creating fiber-like pumps that can generate high pressure and flow rate. These pumps can be integrated directly into clothing, allowing for silent, vibration-free operation and requiring only a palm-sized power supply.
EPFL researchers have discovered a way to store and process data using magnetic waves, potentially solving the issue of energy-hungry computing technology. This approach enables non-volatile storage within the same system, reducing the need for separate processors and memory storage.
Researchers developed a temperature-modulating robotic system to study honeybee behavior in winter, demonstrating its ability to influence movement and prolong colony survival. The system also revealed previously unreported dynamics and shed light on critical periods for bee development.
Scientists at EPFL and IBM have developed a new type of laser using lithium niobate, enabling precise distance measurements in LiDAR applications. The hybrid integrated tunable laser offers low frequency noise and fast wavelength tuning.
Cancer develops when genome doubling leads to chromatin disorganization, promoting oncogene activation and genomic instability. Researchers found that WGD causes sub-compartment repositioning and loss of chromatin segregation.
Researchers have created a transformer model for Metal-Organic Frameworks (MOFs), allowing for faster results and less data. The MOFTransformer model predicts key properties such as hydrogen storage capacity with improved accuracy.
Researchers are developing wearable robotic arms that can assist with daily living tasks, using non-invasive techniques. This technology has the potential to improve quality of life for individuals with sensory and motor deficits, such as spinal cord injuries or stroke survivors.
EPFL researchers have created a 3D printing ink containing calcium carbonate-producing bacteria that produces bone-like composites. The resulting bio-composite is exceptionally strong, light, and environmentally friendly. This innovation has potential applications in art restoration, coral reef regeneration, and biomedical fields.
Researchers at EPFL have developed a new approach to electronics that can overcome limitations and enable ultra-fast devices for exchanging massive amounts of data. The Electronic metadevices can operate at electromagnetic frequencies in the terahertz range, yielding extraordinary properties that do not occur in nature.
The new Cell Atlas updates reveal that 20% of all neurons in the mouse brain are inhibitory, with detailed information on morphological and electrophysiological properties. The atlas combines various datasets to create a coherent framework for simulating neural circuits.
Researchers developed a new encryption method that encodes secret messages using brilliant colors created by silver nanostructures reacting to polarized light. The method's unique chiral response makes it more secure than traditional binary codes.
A new study has shed light on the complex interplay between our body clock, sex, and age, revealing sex-dimorphic gene expression rhythms and reduced rhythmic programs with age across various biological functions. These findings may lead to new ways of diagnosing and treating pathologies such as sleep disorders and metabolic diseases.
Researchers developed a haptics-based automated driving system that encourages continuous engagement between drivers and automation. The system achieves this through three functionalities: interaction, arbitration, and inclusion, resulting in increased safety and comfort for human drivers.
NeuralTree is a closed-loop neuromodulation system-on-chip that can detect and classify biomarkers from real patient data and animal models of disease in-vivo, leading to high accuracy in symptom prediction. The system boasts 256 input channels, making it highly versatile and scalable.
Researchers developed a technique that introduces a phosphonic acid-functionalized fullerene derivative and a redox-active radical polymer to strengthen the perovskite crystal structure and increase conductivity. This approach improved the stability of perovskite solar cells, achieving efficiencies comparable to traditional solar cells.
Researchers developed a novel approach to network analysis that can reveal and interpret interactions among multiple variables in neuroscience, economics, and epidemiology. The method uses multivariate time series data and distinguishes major features not detectable by standard pairwise statistics.
Researchers identify the (100) facet as prone to degradation, while the (111) facet is more stable and resistant to moisture and heat. By using facet engineering, they develop strategies to grow the stable (111) facet, leading to exceptionally stable perovskite films.
Researchers at EPFL have developed a new thin-film circuit that produces finely tailorable terahertz-frequency waves, enabling precise control over frequency, wavelength, amplitude, and phase. This breakthrough has significant implications for future electronics, telecommunications, spectroscopy, and quantum applications.
Scientists have found a way to break down the resistance of mice with neuroendocrine pancreatic cancer to checkpoint blockade immunotherapy. A new drug combination, PD1-IL2v and anti-PD-L1, enhances anti-tumor immunity by stimulating specific T cells and reprogramming macrophages, leading to increased survival rates in tumor-bearing mice.
Scientists at EPFL have created a device that combines semiconductor-based technology with novel electrodes to harness water from the air and produce hydrogen gas powered by sunlight. The transparent, porous, and conductive electrodes mimic the properties of plant leaves, which convert sunlight into chemical energy through photosynthesis.
A group of scientists developed a machine learning approach to predict amine emissions from a carbon capture plant. They analyzed data from a stress test at a German power plant and found that two amines respond in opposite ways, increasing or decreasing emissions. This new method has the potential to change the way chemical plants ope...
Researchers developed a method to improve power conversion efficiency and stability of pure iodide and mixed-halide perovskites by using two alkylammonium halide modulators. This approach substantially reduces drops in power-conversion efficiency and retains about 80-90% of initial efficiencies after continuous operation.
Researchers at EPFL's School of Basic Sciences created a large-scale, configurable superconducting circuit optomechanical lattice to simulate graphene lattices. The device exhibits non-trivial topological edge states and can be used to study many-body physics.
Scientists at EPFL have developed a method for a flapping-wing robot to land autonomously on a horizontal perch using a claw-like mechanism. The innovation could significantly expand the scope of robot-assisted tasks and enable robots to recharge using solar energy.
A team of scientists discovered that ceramides accumulate in muscles during aging, leading to a decline in muscle function. Treating old mice with ceramide blockers prevented age-related loss of muscle mass and improved muscle strength.
A new study developed a traveling-wave amplifier based on a photonic integrated circuit operating in the continuous regime, providing 7 dB net gain on-chip and 2 dB net gain fiber-to-fiber. This achievement enables unlimited application areas for LiDAR and other optical sensing applications.