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Categories: Computer Science: Quantum Computers, Mathematics: Modeling
Published Physical theory improves protein folding prediction



Proteins are important molecules that perform a variety of functions essential to life. To function properly, many proteins must fold into specific structures. However, the way proteins fold into specific structures is still largely unknown. Researchers have developed a novel physical theory that can accurately predict how proteins fold. Their model can predict things previous models cannot. Improved knowledge of protein folding could offer huge benefits to medical research, as well as to various industrial processes.
Published Electrical control of quantum phenomenon could improve future electronic devices



A new electrical method to conveniently change the direction of electron flow in some quantum materials could have implications for the development of next-generation electronic devices and quantum computers. A team of researchers has developed and demonstrated the method in materials that exhibit the quantum anomalous Hall (QAH) effect -- a phenomenon in which the flow of electrons along the edge of a material does not lose energy.
Published Deep neural networks don't see the world the way we do



Computational models of hearing and vision can build up their own idiosyncratic 'invariances' -- meaning they respond the same way to stimuli with very different features, according to scientists.
Published New organ-on-a-chip model of human synovium could accelerate development of treatments for arthritis



The synovium is a membrane-like structure that lines the knee joint and helps to keep the joint happy and healthy, mainly by producing and maintaining synovial fluid. Inflammation of this tissue is implicated in the onset and progression of arthritic diseases such as rheumatoid and osteoarthritis. Therefore, treatments that target the synovium are promising in treating these diseases. However, we need better models in the laboratory that allow us to find and test new treatments. We have developed an organ-on-a-chip based model of the human synovium, and its associated vasculature, to address this need.
Published Self-correcting quantum computers within reach?



Quantum computers promise to reach speeds and efficiencies impossible for even the fastest supercomputers of today. Yet the technology hasn't seen much scale-up and commercialization largely due to its inability to self-correct. Quantum computers, unlike classical ones, cannot correct errors by copying encoded data over and over. Scientists had to find another way. Now, a new paper illustrates a quantum computing platform's potential to solve the longstanding problem known as quantum error correction.
Published Exploring parameter shift for quantum fisher information



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



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 A new way to erase quantum computer errors



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 What is the impact of predictive AI in the health care setting?



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



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



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 Twisted science: New quantum ruler to explore exotic matter



Researchers have developed a 'quantum ruler' to measure and explore the strange properties of multilayered sheets of graphene, a form of carbon. The work may also lead to a new, miniaturized standard for electrical resistance that could calibrate electronic devices directly on the factory floor, eliminating the need to send them to an off-site standards laboratory.
Published Machine learning used to probe the building blocks of shapes



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



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



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 Examining the superconducting diode effect



Scientists have reviewed the superconducting diode effect, a quantum effect enabling dissipationless supercurrent to flow in only one direction. The SDE provides new functionalities for superconducting circuits and future ultra-low energy superconducting/hybrid devices, with potential for quantum technologies in both classical and quantum computing.
Published Groundbreaking mathematical proof: New insights into typhoon dynamics unveiled



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



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



Scientists unveil exciting possibilities for the development of highly efficient quantum devices.
Published New qubit circuit enables quantum operations with higher accuracy


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.