How NVIDIA Uses Keras

The article discusses an innovative edge computing and video analytics solution developed to detect plastic bag contamination in waste collection trucks.

The article discusses the significance of robust scene text detection and recognition (STDR) in various applications, emphasizing the challenges faced in recognizing text from natural scenes.

This article provides a comprehensive guide on deploying various AI model categories using the NVIDIA Triton Inference Server.

The article discusses an AIoT solution for visual blockage detection at culverts, emphasizing the importance of addressing culvert blockages to prevent flooding.

The article introduces Transformers4Rec, a library from NVIDIA Merlin designed for building session-based recommendation systems using state-of-the-art Transformer architectures.

The article discusses the rapid advancements in computer vision technology and its applications across various industries.

The article discusses LiveChess2FEN, a framework developed to provide real-time game analysis by digitizing chessboard configurations using an NVIDIA Jetson Nano.

The article discusses NVIDIA Sionna, a GPU-accelerated open-source library designed for link-level simulations, particularly in the context of emerging 6G technologies.

This article discusses the optimization of T5 and GPT-2 models for real-time inference using NVIDIA TensorRT.

The article emphasizes the importance of writing as a crucial skill for Data Scientists and Machine Learning practitioners, highlighting various writing forms such as short-form content, emails, bl...

The article emphasizes the importance of writing for Data Scientists, highlighting how it cultivates critical soft skills such as communication and critical thinking.

The article provides insights from NVIDIA's Kaggle Grandmaster team regarding strategies for participating in Kaggle competitions, including model selection, feature engineering, and the importance...

The article discusses how to simplify model development and scale model training using PyTorch Lightning and NVIDIA's NGC.

This article discusses how to speed up deep learning inference using a workflow that integrates TensorFlow, ONNX, and NVIDIA TensorRT.

The article discusses the use of NVIDIA PhysicsNeMo, a simulation toolkit that integrates AI and physics to model flow and transport in porous media.

The article discusses the challenges faced in data science development and introduces the NVIDIA Data Science Client (DSC) along with Windows Subsystem for Linux 2 (WSL2) as solutions.

The article highlights the DeepWay project, an AI-based navigation aid designed for visually impaired individuals, developed by Satinder Singh.

The article discusses the Samsung SDS Brightics AI Accelerator, a Kubernetes-based application designed to automate and accelerate deep learning model training.

The article discusses how to prepare state-of-the-art models for classification and object detection using the NVIDIA TAO Toolkit.

The article discusses how to accelerate deep learning applications using Apache Spark and NVIDIA GPUs on AWS. It highlights the integration of GPU scheduling in Apache Spark 3.

The article discusses the transformative impact of AI on the automotive industry, particularly through the development of autonomous driving technology.

The article discusses NVIDIA NeMo, an open-source toolkit designed to accelerate the development of speech and language models using PyTorch.

The article discusses the enhancements in Apache Spark 3. 0, particularly focusing on GPU acceleration and performance optimizations.

The article discusses the implementation of a real-time AI-based face mask detection application to enhance public safety during the COVID-19 pandemic.

Google researchers have developed a new AI model that enhances 3D image synthesis of outdoor scenes using unstructured collections of photographs.

This article discusses the acceleration of medical image segmentation using NVIDIA Tensor Cores and TensorFlow 2.

NVIDIA's Deep Learning Institute is now offering instructor-led workshops remotely, providing hands-on training in AI, accelerated computing, and data science.

NVIDIA has launched the latest version of its Clara Train and Deploy application frameworks, introducing advanced features that enhance AI development and deployment in medical imaging.

The article discusses NVIDIA's participation at TensorFlow World 2019, highlighting advancements in TensorFlow 2.

The article discusses the release of TensorFlow 2. 0, highlighting its enhanced performance and integration with TensorRT for machine learning applications.

The article discusses the Neural Modules Toolkit, an open-source framework designed to facilitate the rapid development of speech and language models.

ArchiGAN is a framework that leverages Generative Adversarial Networks (GANs) to assist architects in designing apartment buildings.

The article discusses the public release of the nvtx-plugins-tf library, which allows users to integrate performance logging nodes into TensorFlow graphs using NVIDIA's Tools Extension (NVTX).

The article discusses how AI can assist pathologists in detecting and grading prostate cancer, addressing the challenges posed by the shortage of pathologists and the high variability in diagnoses.

Researchers from the University of California, San Francisco have developed a deep learning method that decodes brain signals into speech, aiming to assist individuals who have lost their ability t...

The article discusses the NVIDIA Jetson Nano Developer Kit, a compact and affordable platform for AI computing, designed for embedded designers, researchers, and DIY makers.

Researchers from the University of Michigan have developed a deep learning-based algorithm capable of predicting pedestrian movement, including their pose and gait, up to 45 meters away from camera...

The article discusses a study revealing that smoking accelerates biological aging, using deep learning to analyze blood biochemistry data.

Researchers from IBM and New York University have developed a deep learning framework that detects glaucoma with 94 percent accuracy using raw optical coherence tomographic (OCT) imaging.

The article discusses the development of a deep learning system called Neural Beatboxer by a Japanese AI startup, which allows users to convert everyday sounds into custom drum kits.

The article discusses the HomeCourt app, an AI-driven basketball training tool that leverages deep learning to help players improve their jump shots. Developed by NEX Team Inc.

Startup Octi has raised $7. 5 million to develop a deep learning-based augmented reality system that interprets human movement.

Researchers from Loughborough University, Western General Hospital, the University of Edinburgh, and the Edinburgh Cancer Centre have developed a deep learning-based method to analyze compounds in ...

A team of researchers has developed a fully automatic deep learning-based system to detect multiple sclerosis (MS) lesions in the spinal cord using conventional MRI data.

Researchers from Georgia Tech developed a deep learning-equipped robot named PR2 to assist over 1 million people in the U. S. who require help getting dressed.

Researchers in Japan have developed a deep learning system to identify and track individual coconut crabs, which are endangered and declining in population.

A new study published in the Astrophysical Journal reveals how researchers developed a deep learning system to classify galaxies using images from the Hubble Space Telescope.

Cornea AI utilizes deep learning to predict the popularity of photos shared on social media platforms like Facebook and Instagram.

The article discusses the development of autonomous RACECARs by NVIDIA Jetson interns to assist in emergency evacuations.

Microsoft has released version 2.