Fundamental and applied physics.
Researchers developed a technique to align microscope images taken from opposite scan directions, which could improve the speed and accuracy of photoacoustic imaging used for medical diagnosis and research.
Advances in computer vision and drones have improved optical remote sensing, giving organizations new ways to monitor the planet from the air. This could lead to better understanding of environmental changes and new applications for drone technology.
A new AI workflow can speed up analysis of complex materials like single-crystal neutron data, helping researchers understand molecular structures faster and advance fields like materials science.
Researchers propose designing the next generation of particle accelerators using AI, allowing them to run with minimal human oversight. This could lead to faster, more efficient, and cheaper scientific discoveries.
New computer techniques can help telescopes see fainter, more distant objects in space, revealing more about the early universe.
Researchers developed an AI system that can predict individual runs of quantum experiments, potentially extending quantum theory by explaining contextuality and causality at a local level. This could advance our understanding of the fundamental nature of reality.
Researchers developed a new AI system that can accurately predict the atomic structure of crystals, which is crucial for designing new materials with desired properties.
Researchers found that intelligent systems can adapt to multiple contexts using a fixed internal representation, which could enable more efficient and flexible machine learning. This could lead to more adaptable AI systems in the future.
Researchers developed a new hybrid quantum-classical system that can improve financial risk forecasting and implement secure post-quantum cryptography, potentially enhancing financial security and stability.
A new AI model can improve the quality of low-resolution infrared images used in surveillance and self-driving cars, which could lead to better object detection and tracking.
Researchers developed a new approach to AI that can generate more creative and reproducible text by incorporating principles from quantum computing. This could lead to more advanced language models that can produce more novel and meaningful content.
NASA created a special camera that can capture images of invisible air flow, helping engineers design better, safer aircraft.
A new study found that certain neural networks, even with randomness in their makeup, can still propagate important signals reliably. This could lead to more interpretable and stable neural network models for scientific applications.
Researchers developed a new algorithm to efficiently estimate the properties of quantum states, which could aid in building practical quantum computers.
Researchers found that a certain type of mathematical domain allows for more diverse voter preferences in elections, which could lead to better representation of people's views.
Researchers developed a reinforcement learning method to efficiently design quantum circuits that can generate target quantum states. This could help make quantum computers more practical and useful for solving complex problems.
Researchers developed Qronos, a new algorithm that can correct errors in AI models during the final quantization stage, potentially improving model efficiency without sacrificing performance. This could lead to more compact and powerful AI models for real-world applications.
Researchers developed a more efficient way to simulate material properties using machine learning, which could lead to faster and more accurate predictions for applications like batteries and solar cells.
MerLean is a new tool that can automatically convert mathematical concepts described in research papers into verified computer code, making it easier for scientists to build on each other's work in quantum computing.
A new camera-agnostic AI system can analyze spectral images, enabling better use of this imaging technique in fields like medicine and urban planning, without needing to standardize cameras.
Advances in computer vision and drones have improved optical remote sensing, giving organizations new ways to monitor the planet from the air. This could lead to better understanding of environmental changes and new applications for drone technology.
A new AI workflow can speed up analysis of complex materials like single-crystal neutron data, helping researchers understand molecular structures faster and advance fields like materials science.
Researchers propose designing the next generation of particle accelerators using AI, allowing them to run with minimal human oversight. This could lead to faster, more efficient, and cheaper scientific discoveries.
New computer techniques can help telescopes see fainter, more distant objects in space, revealing more about the early universe.
Researchers developed an AI system that can predict individual runs of quantum experiments, potentially extending quantum theory by explaining contextuality and causality at a local level. This could advance our understanding of the fundamental nature of reality.
Researchers developed a new AI system that can accurately predict the atomic structure of crystals, which is crucial for designing new materials with desired properties.
Researchers found that intelligent systems can adapt to multiple contexts using a fixed internal representation, which could enable more efficient and flexible machine learning. This could lead to more adaptable AI systems in the future.
Researchers developed a new hybrid quantum-classical system that can improve financial risk forecasting and implement secure post-quantum cryptography, potentially enhancing financial security and stability.
Researchers developed a technique to align microscope images taken from opposite scan directions, which could improve the speed and accuracy of photoacoustic imaging used for medical diagnosis and research.
A new AI model can improve the quality of low-resolution infrared images used in surveillance and self-driving cars, which could lead to better object detection and tracking.
Researchers developed a new approach to AI that can generate more creative and reproducible text by incorporating principles from quantum computing. This could lead to more advanced language models that can produce more novel and meaningful content.
NASA created a special camera that can capture images of invisible air flow, helping engineers design better, safer aircraft.
A new study found that certain neural networks, even with randomness in their makeup, can still propagate important signals reliably. This could lead to more interpretable and stable neural network models for scientific applications.
Researchers developed a new algorithm to efficiently estimate the properties of quantum states, which could aid in building practical quantum computers.
Researchers found that a certain type of mathematical domain allows for more diverse voter preferences in elections, which could lead to better representation of people's views.
Researchers developed a reinforcement learning method to efficiently design quantum circuits that can generate target quantum states. This could help make quantum computers more practical and useful for solving complex problems.
Researchers developed Qronos, a new algorithm that can correct errors in AI models during the final quantization stage, potentially improving model efficiency without sacrificing performance. This could lead to more compact and powerful AI models for real-world applications.
Researchers developed a more efficient way to simulate material properties using machine learning, which could lead to faster and more accurate predictions for applications like batteries and solar cells.
MerLean is a new tool that can automatically convert mathematical concepts described in research papers into verified computer code, making it easier for scientists to build on each other's work in quantum computing.
A new camera-agnostic AI system can analyze spectral images, enabling better use of this imaging technique in fields like medicine and urban planning, without needing to standardize cameras.