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

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

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

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

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

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

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

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

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