Showing items from Modeling

Protein language model training with NVIDIA BioNeMo framework on AWS ParallelCluster

In this new post, we discuss pre-training ESM-1nv for protein language modeling with NVIDIA BioNeMo on AWS. Learn how you can efficiently deploy and customize generative models like ESM-1nv on GPU clusters with ParallelCluster. Whether …

Using large-language models for ESG sentiment analysis using Databricks on AWS

ESG is now a boardroom issue. See how Databricks’ AI solution helps understand emissions data and meet new regulations. Read the Post on the AWS Blog Channel

Accelerating agent-based simulation for autonomous driving

AWS is powering the future of self-driving cars. Check out this post to see how high performance computing is transforming agent-based models for the CARLA RAI Challenge. Read the Post on the AWS Blog Channel

Explainable AI using expressive Boolean formulas

ML models driving high-stakes decisions need interpretability. See how the Amazon QSL and Fidelity FCAT developed interpretable models based on Boolean logic. Read the Post on the AWS Blog Channel

How agent-based models powered by HPC are enabling large scale economic simulations

See how agent-based models, driven to scale by HPC in the cloud, are shedding new light on macroprudential policies with this post from Oxford’s Institute for New Economic Thinking. Read the Post on the AWS Blog Channel

How Visual Layer builds high quality datasets on Amazon S3

Companies from different industries use data to help their Artificial Intelligence (AI) and Machine Learning (ML) systems make intelligent decisions. For ML systems to work well, it is crucial to make sure that the massive datasets used for …

Leveraging Seqera Platform on AWS Batch for machine learning workflows – Part 1 of 2

Nextflow is popular workflow framework for genomics pipelines, but did you know you can also use it for machine-learning? ML is already being used for medical imaging, protein folding, drug discovery, and gene editing. In this post, we …

Announcing Amazon EC2 Capacity Blocks for ML to reserve GPU capacity for your machine learning workloads

Recent advancements in machine learning (ML) have unlocked opportunities for customers across organizations of all sizes and industries to reinvent new products and transform their businesses. However, the growth in demand for GPU capacity …