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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...

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...

Meta AI Introduces AV-HuBERT: A State-Of-The-Art Self-Supervised Framework For Understanding Speech...

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AI is used for various speech recognition and understanding activities, ranging from enabling smart speakers to designing aids for persons who are deaf or...

Google AI Introduces V-MoE: A New Architecture For Computer Vision Based...

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Throughout the previous few decades, deep learning advances have contributed to outstanding outcomes on a wide range of tasks, including image classification, machine translation,...

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...

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....
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