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Categories: Computer Science: General, Mathematics: Modeling
Published Exploring parameter shift for quantum fisher information
(via sciencedaily.com) Original source Scientists have developed a technique called 'Time-dependent Stochastic Parameter Shift' in the realm of quantum computing and quantum machine learning. This breakthrough method revolutionizes the estimation of gradients or derivatives of functions, a crucial step in many computational tasks.
Published A step towards AI-based precision medicine
(via sciencedaily.com) Original source Artificial intelligence, AI, which finds patterns in complex biological data could eventually contribute to the development of individually tailored healthcare. Researchers have developed an AI-based method applicable to various medical and biological issues. Their models can for instance accurately estimate people's chronological age and determine whether they have been smokers or not.
Published New easy-to-use optical chip can self-configure to perform various functions
(via sciencedaily.com) Original source Researchers have developed an easy-to-use optical chip that can configure itself to achieve various functions. The positive real-valued matrix computation they have achieved gives the chip the potential to be used in applications requiring optical neural networks.
Published A new way to erase quantum computer errors
(via sciencedaily.com) Original source Researchers have demonstrated a type of quantum eraser. The physicists show that they can pinpoint and correct for mistakes in quantum computing systems known as 'erasure' errors.
Published Powering AI could use as much electricity as a small country
(via sciencedaily.com) Original source Artificial intelligence (AI) comes with promises of helping coders code faster, drivers drive safer, and making daily tasks less time-consuming. But a recent study demonstrates that the tool, when adopted widely, could have a large energy footprint, which in the future may exceed the power demands of some countries.
Published What is the impact of predictive AI in the health care setting?
(via sciencedaily.com) Original source Models built on machine learning in health care can be victims of their own success, according to researchers. Their study assessed the impact of implementing predictive models on the subsequent performance of those and other models.
Published AI language models could help diagnose schizophrenia
(via sciencedaily.com) Original source Scientists have developed new tools, based on AI language models, that can characterize subtle signatures in the speech of patients diagnosed with schizophrenia.
Published Researchers create a neural network for genomics -- one that explains how it achieves accurate predictions
(via sciencedaily.com) Original source A team of computer scientists has created a neural network that can explain how it reaches its predictions. The work reveals what accounts for the functionality of neural networks--the engines that drive artificial intelligence and machine learning--thereby illuminating a process that has largely been concealed from users.
Published New technology could reduce lag, improve reliability of online gaming, meetings
(via sciencedaily.com) Original source Whether you’re battling foes in a virtual arena or collaborating with colleagues across the globe, lag-induced disruptions can be a major hindrance to seamless communication and immersive experiences. That’s why researchers have developed new technology to make data transfer over optical fiber communication faster and more efficient.
Published Machine learning used to probe the building blocks of shapes
(via sciencedaily.com) Original source Applying machine learning to find the properties of atomic pieces of geometry shows how AI has the power to accelerate discoveries in maths.
Published Birders and AI push bird conservation to the next level
(via sciencedaily.com) Original source Big data and artificial intelligence (AI) are being used to model hidden patterns in nature, not just for one bird species, but for entire ecological communities across continents. And the models follow each species’ full annual life cycle, from breeding to fall migration to non-breeding grounds, and back north again during spring migration.
Published These robots helped explain how insects evolved two distinct strategies for flight
(via sciencedaily.com) Original source Robots helped achieve a major breakthrough in our understanding of how insect flight evolved. The study is a result of a six-year long collaboration between roboticists and biophysicists.
Published AI drones to help farmers optimize vegetable yields
(via sciencedaily.com) Original source For reasons of food security and economic incentive, farmers continuously seek to maximize their marketable crop yields. As plants grow inconsistently, at the time of harvesting, there will inevitably be variations in quality and size of individual crops. Finding the optimal time to harvest is therefore a priority for farmers. A new approach making heavy use of drones and artificial intelligence demonstrably improves this estimation by carefully and accurately analyzing individual crops to assess their likely growth characteristics.
Published Instant evolution: AI designs new robot from scratch in seconds
(via sciencedaily.com) Original source Researchers developed the first AI to date that can intelligently design robots from scratch by compressing billions of years of evolution into mere seconds. It's not only fast but also runs on a lightweight computer and designs wholly novel structures from scratch — without human-labeled, bias-filled datasets.
Published Engineering study employs deep learning to explain extreme events
(via sciencedaily.com) Original source At the core of uncovering extreme events such as floods is the physics of fluids – specifically turbulent flows. Researchers leveraged a computer-vision deep learning technique and adapted it for nonlinear analysis of extreme events in wall-bounded turbulent flows, which are pervasive in numerous physics and engineering applications and impact wind and hydrokinetic energy, among others. Results show the technique employed can be invaluable for accurately identifying the sources of extreme events in a completely data-driven manner.
Published Groundbreaking mathematical proof: New insights into typhoon dynamics unveiled
(via sciencedaily.com) Original source A research team has provided irrefutable proof that certain spherical vortices exist in a stable state.
Published Sperm swimming is caused by the same patterns that are believed to dictate zebra stripes
(via sciencedaily.com) Original source Patterns of chemical interactions are thought to create patterns in nature such as stripes and spots. This new study shows that the mathematical basis of these patterns also governs how sperm tail moves.
Published Powering the quantum revolution: Quantum engines on the horizon
(via sciencedaily.com) Original source Scientists unveil exciting possibilities for the development of highly efficient quantum devices.
Published New qubit circuit enables quantum operations with higher accuracy
(via sciencedaily.com) Researchers have developed a novel superconducting qubit architecture that can perform operations between qubits with much higher accuracy than scientists have yet been able to achieve. This architecture, which utilizes a relatively new type of superconducting qubit called fluxonium, is scalable and could be used to someday build a large-scale quantum computer.
Published Drug discovery on an unprecedented scale
(via sciencedaily.com) Boosting virtual screening with machine learning allowed for a 10-fold time reduction in the processing of 1.56 billion drug-like molecules. Researchers teamed up with industry and supercomputers to carry out one of the world's largest virtual drug screens.