Data Science

Sep 28, 2023

Preventing Health Data Leaks with Federated Learning Using NVIDIA FLARE

More than 40 million people had their health data leaked in 2021, and the trend is not optimistic. The key goal of federated learning and analytics is to...
10 MIN READ
Sep 28, 2023

NVIDIA H100 System for HPC and Generative AI Sets Record for Financial Risk Calculations

Generative AI is taking the world by storm, from large language models (LLMs) to generative pretrained transformer (GPT) models to diffusion models. NVIDIA is...
7 MIN READ
Class learning with laptops
Sep 25, 2023

New Video Series: CUDA Developer Tools Tutorials

GPU acceleration is enabling faster and more intelligent applications than ever before, and the CUDA Toolkit is key to harnessing acceleration on NVIDIA GPUs....
3 MIN READ
Sep 20, 2023

New Video: Representing Data with OpenUSD Custom Schemas

Custom schemas in Universal Scene Description, known as OpenUSD or USD, are pivotal for developers seeking to represent and encode sophisticated virtual worlds....
2 MIN READ
An illustration representing Apache Spark.
Sep 14, 2023

ICYMI: Run RAPIDS-Accelerated Apache Spark on Amazon EMR

Streamline and accelerate deployment by integrating ETL and ML training into a single Apache Spark script on Amazon EMR.
1 MIN READ
Sep 12, 2023

Generative AI and Accelerated Computing for Spear Phishing Detection

Spear phishing is the largest and most costly form of cyber threat, with an estimated 300,000 reported victims in 2021 representing $44 million in reported...
5 MIN READ
An illustration showing different scenes with recommender systems in action.
Sep 12, 2023

Event: RecSys at Work: Best Practices and Insights

On Sept. 27, join us to learn recommender systems best practices for building, training, and deploying at any scale.
1 MIN READ
Sep 11, 2023

Accelerating Vector Search: Fine-Tuning GPU Index Algorithms

The first post in this series introduced vector search indexes, explained the role they play in enabling a widespread range of important applications, and...
11 MIN READ
Sep 11, 2023

Accelerating Vector Search: Using GPU-Powered Indexes with RAPIDS RAFT

In the AI landscape of 2023, vector search is one of the hottest topics due to its applications in large language models (LLM) and generative AI. Semantic...
11 MIN READ
An illustration of computer monitors showing data science models.
Sep 08, 2023

Workshop: Fundamentals of Deep Learning

Learn key techniques and tools required to train a deep learning model in this virtual hands-on workshop.
1 MIN READ
Decorative image of two boxes with libcuda.sym labels.
Sep 07, 2023

NVIDIA CUDA Toolkit Symbol Server

NVIDIA has already made available a GPU driver binary symbols server for Windows. Now, NVIDIA is making available a repository of CUDA Toolkit symbols for...
3 MIN READ
A diagram representing multi-GPU training.
Sep 07, 2023

Unlocking Multi-GPU Model Training with Dask XGBoost

As data scientists, we often face the challenging task of training large models on huge datasets. One commonly used tool, XGBoost, is a robust and efficient...
11 MIN READ
Illustration of a person in a living room on a sofa watching TV.
Sep 07, 2023

Ask Me Anything: Winning Formula for the Best Multilingual Recommender Systems

On Sept. 13, connect with the winning multilingual recommender systems Kaggle Grandmaster team of KDD’23.
1 MIN READ
Cybersecurity abstract image
Sep 06, 2023

Supercharge Ransomware Detection with AI-Enhanced Cybersecurity Solutions

Ransomware attacks have become increasingly popular, more sophisticated, and harder to detect. For example, in 2022, a destructive ransomware attack took 233...
5 MIN READ
Sep 06, 2023

GPUs for ETL? Optimizing ETL Architecture for Apache Spark SQL Operations

Extract-transform-load (ETL) operations with GPUs using the NVIDIA RAPIDS Accelerator for Apache Spark running on large-scale data can produce both cost savings...
8 MIN READ
Aug 31, 2023

Introduction to Graph Neural Networks with NVIDIA cuGraph-DGL

Graph neural networks (GNNs) have emerged as a powerful tool for a variety of machine learning tasks on graph-structured data. These tasks range from node...
7 MIN READ