Algorithms / Numerical Techniques

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 with 3 different colored squares labeled GPUs in a row.

Aug 04, 2023

ICYMI: Unlocking the Power of GPU-Accelerated DataFrames in Python

Read this tutorial on how to tap into GPUs by importing cuDF instead of pandas–with only a few code changes.

1 MIN READ

Jul 20, 2023

A Comprehensive Guide on Interaction Terms in Time Series Forecasting

Modeling time series data can be challenging (and fascinating) due to its inherent complexity and unpredictability. Long-term trends in time series can change...

8 MIN READ

Jul 19, 2023

Programming the Quantum-Classical Supercomputer

Heterogeneous computing architectures—those that incorporate a variety of processor types working in tandem—have proven extremely valuable in the continued...

9 MIN READ

Jul 11, 2023

Accelerated Data Analytics: Machine Learning with GPU-Accelerated Pandas and Scikit-learn

If you are looking to take your machine learning (ML) projects to new levels of speed and scalability, GPU-accelerated data analytics can help you deliver...

13 MIN READ

Several graph illustrations representing data science.

Jun 28, 2023

ICYMI: Exploring Challenges Posed by Biased Datasets Using RAPIDS cuDF

Read about an innovative GPU solution that solves limitations using small biased datasets with RAPIDS cuDF.

1 MIN READ

Jun 27, 2023

GPU-Accelerated Single-Cell RNA Analysis with RAPIDS-singlecell

Single-cell sequencing has become one of the most prominent technologies used in biomedical research. Its ability to decipher changes in the transcriptome and...

13 MIN READ

Jun 09, 2023

Recreate High-Fidelity Digital Twins with Neural Kernel Surface Reconstruction

Reconstructing a smooth surface from a point cloud is a fundamental step in creating digital twins of real-world objects and scenes. Algorithms for surface...

5 MIN READ

May 19, 2023

Limit Order Book Dataset Generation for Accelerated Short-Term Price Prediction with RAPIDS

In the high-frequency trading world, thousands of market participants interact daily. In fact, high-frequency trading accounts for more than half of the US...

9 MIN READ

May 18, 2023

QHack Results Highlight Quantum Computing Applications and Tools on GPUs

QHack is an educational conference and the world’s largest quantum machine learning (QML) hackathon. This year at QHack 2023, 2,850 individuals from 105...

9 MIN READ

Apr 26, 2023

A Comprehensive Guide to Interaction Terms in Linear Regression

Linear regression is a powerful statistical tool used to model the relationship between a dependent variable and one or more independent variables (features)....

13 MIN READ

Apr 20, 2023

A Comprehensive Overview of Regression Evaluation Metrics

As a data scientist, evaluating machine learning model performance is a crucial aspect of your work. To do so effectively, you have a wide range of statistical...

17 MIN READ

Photo by Ricardo Gomez Angel on Unsplash

Jul 20, 2022

Dealing with Outliers Using Three Robust Linear Regression Models

Linear regression is one of the simplest machine learning models out there. It is often the starting point not only for learning about data science but also for...

13 MIN READ

May 06, 2022

Accelerating High-Volume Manufacturing for Inverse Lithography Technology

Inverse lithography technology (ILT) was first implemented and demonstrated in early 2003. It was created by Danping Peng, while he worked as an engineer...

6 MIN READ

Mar 31, 2022

Merge Sort Explained: A Data Scientist’s Algorithm Guide

Data Scientists deal with algorithms daily. However, the data science discipline as a whole has developed into a role that does not involve implementation of...

8 MIN READ