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...
Using NVIDIA Clara, Google DeepVariant, and Oxford Nanopore Technologies sequencing, the Stanford University School of Medicine has been able to identify genetic diseases in...
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...
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...
Data centers require incredibly rapid storage access, and as per the latest report by NVIDIA, Its BlueField-2 DPU is the fastest available.
NVIDIA's recent testing...
Standard machine learning methods involve storing training data on a single machine or in a data center. Federated learning is a privacy-preserving technique that...
NVIDIA unveils 'Modulus', a new framework for constructing Physics-Machine Learning (ML) Models for Digital Twins. NVIDIA's Modulus, formerly known as SimNet, is a platform...
Audio-visual (AV) learning is defined by delivering and applying instructional content that includes both sound and visual information. The natural relationship between visual observations...
Introduction
Deep learning neural networks, which are at the heart of modern artificial intelligence, are frequently characterized as "black boxes" with mysterious inner workings. However,...
Data augmentation
Data augmentation in machine learning is a technique that helps reduce overfitting. It increases the amount of data by adding slightly modified copies...
Robots that can perceive and understand the world around them are a crucial part of our future. Nvidia's AI-powered robotics tool, Isaac, is expanding...
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