Deep Learning

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...

Increased Data Security Using ‘EzPC’ In The Machine Learning Model Validation...

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Artificial intelligence (AI) has revolutionized various industries in the last decade, from manufacturing and logistics to agriculture and transportation—examples include improving predictive analytics on...

Uber Releases V1.1 of Orbit: A Python Package to Perform Bayesian...

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Last year, the Uber team introduced Orbit, a Bayesian time series modeling user interface which is simple to use, adaptable, interoperable, and high-performing (fast...

Researchers From NVIDIA & Vanderbilt University Propose ‘Swin UNETR’: A Novel...

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The human brain is affected by about 120 different forms of brain tumors. AI-based intervention for tumor identification and surgical pre-assessment is on the...

Top Emerging Deep Learning Trends For 2022

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In today's industry, AI and machine learning are regarded as the cornerstones of technological transformation. Enterprises have become more intelligent and efficient as a...

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...

Researchers From Stanford and NVIDIA Introduce A Tri-Plane-Based 3D GAN Framework...

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Generative Adversarial Networks (GANs) have been one of the main hypes of recent years. Based on the famous generator-discriminator mechanism, their very simple functioning...

Avalanche Introduces hAIsten AI: A Low-Code SaaS Solution That Speeds Up...

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Developing artificial intelligence applications is a time-consuming process that takes years to complete. Data scientists, engineers, domain specialists, and many experts must be involved...
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