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Recent Research on Manifolds in Commonly Used Atomic Fingerprints and Failure...

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Atomic fingerprints are often employed in machine learning situations to characterize atoms' immediate environs. Encoding information such as link lengths to surrounding atoms or...

A Neural Network for Solving and Generating University Level Mathematics Problems...

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The AI research community widely believed that modern deep learning architectures were not "intelligent" enough to solve advanced mathematical problems. But, previous attempts to...

Latest Stanford Research Breaks World Record In DNA Sequencing Technique Using...

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Using NVIDIA Clara, Google DeepVariant, and Oxford Nanopore Technologies sequencing, the Stanford University School of Medicine has been able to identify genetic diseases in...

CMU Researchers Propose A Computer Vision-Based Approach With Data-Frugal Deep Learning...

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Materials processing is the process of turning raw materials into final items through a sequence of phases or "unit operations." The activities entail a...

New AI Research Study On The Accuracy Of Distortion Metrics For...

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With recent developments in machine learning models and their impressive performance in speech recognition tasks, human-computer interaction is becoming increasingly reliant on speech communication....

UC Sandiego Researchers Propose A Controllable Voice Cloning Method That Allows...

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Text-to-Speech (TTS) synthesis is achieved using current voice cloning methods for a new voice. They do not, however, manipulate the expressiveness of synthesized sounds....

Yale University and IBM Researchers Introduce Kernel Graph Neural Networks (KerGNNs)

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Graph kernel approaches have typically been the most popular strategy for graph classification tasks. Graph kernels can be thought of as functions that measure...

Researchers Use Machine Learning To Repair Genetic Damage

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DNA damage is constantly occurring in cells, either due to external sources or as a result of internal cellular metabolic reactions and physiological activities....

Efficient Large-scale Object Counting in Satellite Images with Importance Sampling

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Object counts provide insights into socioeconomic and environmental issues: for example, building counts reflect the level of urbanization. How can we estimate the total...

Meta AI and CMU Researchers Present ‘BANMo’: A New Neural Network-Based...

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Previous work on articulated 3D shape reconstruction has frequently relied on specialized sensors (e.g., synchronized multi-camera systems) or pre-built 3D deformable models (e.g., SMAL...
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