Data Science

An illustration of an Undocumented Orphaned Well.
Jan 16, 2025

AI Uncovers Potentially Hazardous, Forgotten Oil and Gas Wells

With as many as 800,000 forgotten oil and gas wells scattered across the US, researchers from Lawrence Berkeley National Laboratory (LBNL), have developed an AI...
5 MIN READ
Jan 16, 2025

Accelerating Time Series Forecasting with RAPIDS cuML

Time series forecasting is a powerful data science technique used to predict future values based on data points from the past Open source Python libraries like...
4 MIN READ
Jan 13, 2025

Upcoming Webinar: Inside the RAPIDS-Accelerated Polars GPU Engine

In the webinar on January 28th, you'll get an inside look of the new GPU engine to learn how Polars' declarative API and query optimizer enable seamless GPU...
1 MIN READ
NVIDIA NeMo Curator icon on a purple background.
Jan 13, 2025

Enhancing Generative AI Model Accuracy with NVIDIA NeMo Curator

In the rapidly evolving landscape of artificial intelligence, the quality of the data used for training models is paramount. High-quality data ensures that...
5 MIN READ
Jan 13, 2025

Evaluating GenMol as a Generalist Foundation Model for Molecular Generation

Traditional computational drug discovery relies almost exclusively on highly task-specific computational models for hit identification and lead optimization....
8 MIN READ
Jan 13, 2025

Accelerate Protein Engineering with the NVIDIA BioNeMo Blueprint for Generative Protein Binder Design

Designing a therapeutic protein that specifically binds its target in drug discovery is a staggering challenge. Traditional workflows are often a painstaking...
4 MIN READ
Dec 20, 2024

Accelerating GPU Analytics Using RAPIDS and Ray

RAPIDS is a suite of open-source GPU-accelerated data science and AI libraries that are well supported for scale-out with distributed engines like Spark and...
4 MIN READ
Dec 20, 2024

NVIDIA Hackathon Winners Share Strategies for RAPIDS-Accelerated ML Workflows

Approximately 220 teams gathered at the Open Data Science Conference (ODSC) West this year to compete in the NVIDIA hackathon, a 24-hour machine learning (ML)...
8 MIN READ
Dec 19, 2024

Enhance Your Training Data with New NVIDIA NeMo Curator Classifier Models

Classifier models are specialized in categorizing data into predefined groups or classes, playing a crucial role in optimizing data processing pipelines for...
11 MIN READ
Dec 19, 2024

RAPIDS 24.12 Introduces cuDF on PyPI, CUDA Unified Memory for Polars, and Faster GNNs

RAPIDS 24.12 introduces cuDF packages to PyPI, speeds up groupby aggregations and reading files from AWS S3, enables larger-than-GPU memory queries in the...
8 MIN READ
Dec 18, 2024

Security for Data Privacy in Federated Learning with CUDA-Accelerated Homomorphic Encryption in XGBoost

XGBoost is a machine learning algorithm widely used for tabular data modeling. To expand the XGBoost model from single-site learning to multisite collaborative...
10 MIN READ
Dec 16, 2024

Top Posts of 2024 Highlight NVIDIA NIM, LLM Breakthroughs, and Data Science Optimization

2024 was another landmark year for developers, researchers, and innovators working with NVIDIA technologies. From groundbreaking developments in AI inference to...
4 MIN READ
NVIDIA Data Science Teaching Kit
Dec 12, 2024

NVIDIA Deep Learning Institute Releases New Data Science Teaching Kit for Educators

As data grows in volume, velocity, and complexity, the data science field is booming.  There’s an ever-increasing demand for talent and skill sets to...
3 MIN READ
Dec 12, 2024

Harnessing GPU Acceleration for Multi-Label Classification with RAPIDS cuML

Modern classification workflows often require classifying individual records and data points into multiple categories instead of just assigning a single label....
4 MIN READ
Dec 05, 2024

Unified Virtual Memory Supercharges pandas with RAPIDS cuDF

cuDF-pandas, introduced in a previous post, is a GPU-accelerated library that accelerates pandas to deliver significant performance improvements—up to 50x...
5 MIN READ
Image shows a 3D molecular structure of a protein, most likely an antibody, visualized using a ribbon diagram, with the classic Y-shaped configuration characteristic of antibodies.
Dec 03, 2024

In-Silico Antibody Development with AlphaBind Using NVIDIA BioNeMo and AWS HealthOmics

Antibodies have become the most prevalent class of therapeutics, primarily due to their ability to target specific antigens, enabling them to treat a wide range...
6 MIN READ