Celebrating Open Science and Enterprise AI Innovation on MONAI’s 5th Anniversary
As MONAI celebrates its fifth anniversary, we're witnessing the convergence of our vision for open medical AI with production-ready enterprise solutions. ...
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...
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...
Supercharging Deduplication in pandas Using RAPIDS cuDF
A common operation in data analytics is to drop duplicate rows. Deduplication is critical in Extract, Transform, Load (ETL) workflows, where you might want to...
Best Practices for Multi-GPU Data Analysis Using RAPIDS with Dask
As we move towards a more dense computing infrastructure, with more compute, more GPUs, accelerated networking, and so forth—multi-gpu training and analysis...
Spotlight: Advancing Autonomous Operations with AVEVA Dynamic Simulation and NVIDIA Raptor
Industrial engineers are turning to AI to build advanced process simulation solutions and accelerate progress toward fully autonomous operations in the energy,...
Processing High-Quality Vietnamese Language Data with NVIDIA NeMo Curator
Open-source large language models (LLMs) excel in English but struggle with other languages, especially the languages of Southeast Asia. This is primarily due...
Accelerate Drug and Material Discovery with New Math Library NVIDIA cuEquivariance
AI models for science are often trained to make predictions about the workings of nature, such as predicting the structure of a biomolecule or the properties of...
Revolutionizing AI-Driven Material Discovery Using NVIDIA ALCHEMI
AI has proven to be a force multiplier, helping to create a future where scientists can design entirely new materials, while engineers seamlessly transform...
Effortlessly Scale NumPy from Laptops to Supercomputers with NVIDIA cuPyNumeric
Python is the most common programming language for data science, machine learning, and numerical computing. It continues to grow in popularity among scientists...
Deep Learning Model Boosts Accuracy in Long-Range Weather and Climate Forecasting
Dale Durran, a professor in the Atmospheric Sciences Department at the University of Washington, introduces a breakthrough deep learning model that combines...
Faster Causal Inference on Large Datasets with NVIDIA RAPIDS
As consumer applications generate more data than ever before, enterprises are turning to causal inference methods for observational data to help shed light on...
NVIDIA RAPIDS 24.10 Introduces Accelerated NetworkX with Zero Code Change, Updates for UMAP and cuDF-Pandas
The RAPIDS v24.10 release takes another step forward in bringing accelerated computing to data scientists and developers with a seamless user experience. This...
The advent of large language models (LLMs) marks a significant shift in how industries leverage AI to enhance operations and services. By automating routine...
Boost Alphafold2 Protein Structure Prediction with GPU-Accelerated MMseqs2
The ability to compare the sequences of multiple related proteins is a foundational task for many life science researchers. This is often done in the form of a...
AI That ‘Hears’ Heart Disease May Help Vets Diagnose Dogs
A new machine-learning algorithm that listens to digital heartbeat data could help veterinarians diagnose murmurs and early-stage heart disease in dogs....
