Applications

NVIDIA Omniverse is Now Available to Millions of Individual NVIDIA Studio...

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Projects on modeling 3D scenes can get complicated quickly, and many of them require cross-platform support and seamless collaboration opportunities to deliver the best...

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....

Apple ML Researchers Introduce ARKitScenes: A Diverse Real-World Dataset For 3D...

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Understanding indoor 3D scenes are becoming increasingly important in augmented reality, robotics, photography, games, and real estate. Many state-of-the-art scene interpretation algorithms have lately...

Coqui Introduces ‘YourTTS’: A Zero-Sample Text-to-Speech Model With State-of-The-Art (SOTA) Results

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Recent advancements in end-to-end deep learning models have enabled new and intriguing Text-to-Speech (TTS) use-cases with excellent natural-sounding outcomes. However, the majority of these...

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...

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...
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