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Categories: Mathematics: Modeling, Physics: Quantum Computing
Published Can a computer tell patients how their multiple sclerosis will progress?
(via sciencedaily.com) Original source Machine learning models can reliably inform clinicians about the disability progression of multiple sclerosis, according to a new study published this week in the open-access journal PLOS Digital Health by Edward De Brouwer of KU Leuven, Belgium, and colleagues.
Published Spin qubits go trampolining
(via sciencedaily.com) Original source Researchers have developed somersaulting spin qubits for universal quantum logic. This achievement may enable efficient control of large semiconductor qubit arrays. The research group recently published their demonstration of hopping spins and somersaulting spins.
Published Large language models don't behave like people, even though we may expect them to
(via sciencedaily.com) Original source People generalize to form beliefs about a large language model's performance based on what they've seen from past interactions. When an LLM is misaligned with a person's beliefs, even an extremely capable model may fail unexpectedly when deployed in a real-world situation.
Published Risks and benefits of integrating AI into medical decision-making
(via sciencedaily.com) Original source Researchers found that an artificial intelligence (AI) model solved medical quiz questions -- designed to test health professionals' ability to diagnose patients based on clinical images and a brief text summary -- with high accuracy. However, physician-graders found the AI model made mistakes when describing images and explaining how its decision-making led to the correct answer.
Published There is mathematical proof in the pudding
(via sciencedaily.com) Original source In blockchain development, there is a rule of thumb that only two of scalability, security, and decentralization are valid simultaneously. However, the mathematical expression of that rule was still a work in progress. Researchers discovered a mathematical expression for the blockchain trilemma. In the formula for Proof of Work-based blockchains, including Bitcoin, the product of the three terms--scalability, security, and decentralization--is 1.
Published Are AI-chatbots suitable for hospitals?
(via sciencedaily.com) Original source Large language models may pass medical exams with flying colors but using them for diagnoses would currently be grossly negligent. Medical chatbots make hasty diagnoses, do not adhere to guidelines, and would put patients' lives at risk. A team has systematically investigated whether this form of artificial intelligence (AI) would be suitable for everyday clinical practice. Despite the current shortcomings, the researchers see potential in the technology. They have published a method that can be used to test the reliability of future medical chatbots.
Published Scientists use AI to predict a wildfire's next move
(via sciencedaily.com) Original source Researchers have developed a new model that combines generative AI and satellite data to accurately forecast wildfire spread.
Published Physicists develop new theory describing the energy landscape formed when quantum particles gather together
(via sciencedaily.com) Original source An international team of physicists has proven new theorems in quantum mechanics that describe the 'energy landscapes' of collections of quantum particles. Their work addresses decades-old questions, opening up new routes to make computer simulation of materials much more accurate. This, in turn, may help scientists design a suite of materials that could revolutionize green technologies.
Published Paving the way to extremely fast, compact computer memory
(via sciencedaily.com) Original source Researchers have demonstrated that the layered multiferroic material nickel iodide (NiI2) may be the best candidate yet for devices such as magnetic computer memory that are extremely fast and compact. Specifically, they found that NiI2 has greater magnetoelectric coupling than any known material of its kind.
Published How to assess a general-purpose AI model's reliability before it's deployed
(via sciencedaily.com) Original source 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 A new neural network makes decisions like a human would
(via sciencedaily.com) Original source 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
(via sciencedaily.com) Original source 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 Artificial intelligence speeds up heart scans, saving doctors' time, and could lead to better treatment for heart conditions
(via sciencedaily.com) Original source 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 A breakthrough on the edge: One step closer to topological quantum computing
(via sciencedaily.com) Original source 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
(via sciencedaily.com) Original source 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 introduce generative AI for databases
(via sciencedaily.com) Original source 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
(via sciencedaily.com) Original source 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 Innovative, highly accurate AI model can estimate lung function just by using chest x-rays
(via sciencedaily.com) Original source 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 A 2D device for quantum cooling
(via sciencedaily.com) Original source 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 Deep machine-learning speeds assessment of fruit fly heart aging and disease, a model for human disease
(via sciencedaily.com) Original source 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.