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Categories: Mathematics: Modeling, Physics: General
Published How to assess a general-purpose AI model's reliability before it's deployed



A new technique estimates the reliability of a self-supervised foundation model, like those that power ChatGPT, without the need to know what task that model will be deployed on later.
Published Breakthrough in quantum microscopy: Researchers are making electrons visible in slow motion



Physicists are developing quantum microscopy which enables them for the first time to record the movement of electrons at the atomic level with both extremely high spatial and temporal resolution. Their method has the potential to enable scientists to develop materials in a much more targeted way than before.
Published A new neural network makes decisions like a human would



Researchers are training neural networks to make decisions more like humans would. This science of human decision-making is only just being applied to machine learning, but developing a neural network even closer to the actual human brain may make it more reliable, according to the researchers.
Published When to trust an AI model



A new technique enables huge machine-learning models to efficiently generate more accurate quantifications of their uncertainty about certain predictions. This could help practitioners determine whether to trust the model when it is deployed in real-world settings.
Published Neural networks made of light



Scientists propose a new way of implementing a neural network with an optical system which could make machine learning more sustainable in the future. In a new paper, the researchers have demonstrated a method much simpler than previous approaches.
Published Artificial intelligence speeds up heart scans, saving doctors' time, and could lead to better treatment for heart conditions



Researchers have developed a groundbreaking method for analysing heart MRI scans with the help of artificial intelligence, which could save valuable time and resources, as well as improve care for patients.
Published Light-induced Meissner effect



Researchers have developed a new experiment capable of monitoring the magnetic properties of superconductors at very fast speeds.
Published Quadrupolar nuclei measured by zero-field NMR



Researchers have achieved a breakthrough in zero-field nuclear magnetic resonance spectroscopy, paving the way towards benchmarking quantum chemistry calculations.
Published A breakthrough on the edge: One step closer to topological quantum computing



Researchers have achieved a significant breakthrough in quantum materials, potentially setting the stage for advancements in topological superconductivity and robust quantum computing.
Published Researchers customize AI tools for digital pathology



Scientists developed and tested new artificial intelligence (AI) tools tailored to digital pathology--a rapidly growing field that uses high-resolution digital images created from tissue samples to help diagnose disease and guide treatment.
Published Researchers show promising material for solar energy gets its curious boost from entropy



Researchers discovered a microscopic mechanism that solves in part the outstanding performance achieved by a new class of organic semiconductors known as non-fullerene acceptors (NFAs).
Published Researchers introduce generative AI for databases



Researchers have developed an easy-to-use tool that enables someone to perform complicated statistical analyses on tabular data using just a few keystrokes. Their method combines probabilistic AI models with the programming language SQL to provide faster and more accurate results than other methods.
Published Moving from the visible to the infrared: Developing high quality nanocrystals



Awarded the 2023 Nobel Prize in Chemistry, quantum dots have a wide variety of applications ranging from displays and LED lights to chemical reaction catalysis and bioimaging. These semiconductor nanocrystals are so small -- on the order of nanometers -- that their properties, such as color, are size dependent, and they start to exhibit quantum properties. This technology has been really well developed, but only in the visible spectrum, leaving untapped opportunities for technologies in both the ultraviolet and infrared regions of the electromagnetic spectrum.
Published Detecting defects in tomorrow's technology



New research offers an enhanced understanding of common defects in transition-metal dichalcogenides (TMDs) -- a potential replacement for silicon in computer chips -- and lays the foundation for etching smaller features.
Published Innovative, highly accurate AI model can estimate lung function just by using chest x-rays



An artificial intelligence (AI) model that can estimate with high accuracy a person's lung function just by using a chest radiograph has been successfully developed.
Published Visualizing short-lived intermediate compounds produced during chemical reactions



Immobilizing small synthetic molecules inside protein crystals proves to be a promising avenue for studying intermediate compounds formed during chemical reactions, scientists report. By integrating this method with time-resolved serial femtosecond crystallography, they successfully visualized reaction dynamics and rapid structural changes occurring within reaction centers immobilized inside protein crystals. This innovative strategy holds significant potential for the intelligent design of drugs, catalysts, and functional materials.
Published A 2D device for quantum cooling



Engineers have created a device that can efficiently convert heat into electrical voltage at temperatures lower than that of outer space. The innovation could help overcome a significant obstacle to the advancement of quantum computing technologies, which require extremely low temperatures to function optimally.
Published Single atoms show their true color



A new technique reveals single atom misfits and could help design better semiconductors used in modern and future electronics.
Published Deep machine-learning speeds assessment of fruit fly heart aging and disease, a model for human disease



Drosophila -- known as fruit flies -- are a valuable model for human heart pathophysiology, including cardiac aging and cardiomyopathy. However, a choke point in evaluating fruit fly hearts is the need for human intervention to measure the heart at moments of its largest expansion or its greatest contraction to calculate cardiac dynamics. Researchers now show a way to significantly cut the time needed for that analysis while utilizing more of the heart region, using deep learning and high-speed video microscopy.
Published Scientists discover way to 'grow' sub-nanometer sized transistors



A research team has implemented a novel method to achieve epitaxial growth of 1D metallic materials with a width of less than 1 nm. The group applied this process to develop a new structure for 2D semiconductor logic circuits. Notably, they used the 1D metals as a gate electrode of the ultra-miniaturized transistor.