Come Partner with Us

Improving simulations of clouds and their effects on climate

Favorite Posted by Tapio Schneider, Visiting Researcher, and Yi-fan Chen, Engineering Lead, Google Research Today’s climate models successfully capture broad global warming trends. However, because of uncertainties about processes that are small in scale yet globally important, such as clouds and ocean turbulence, these models’ predictions of upcoming climate changes

Read More
Shared by Google AI Technology November 22, 2023

Amazon Textract’s new Layout feature introduces efficiencies in general purpose and generative AI document processing tasks

Favorite Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, and data from any document or image. AnalyzeDocument Layout is a new feature that allows customers to automatically extract layout elements such as paragraphs, titles, subtitles, headers, footers, and more from documents. Layout extends Amazon Textract’s

Read More
Shared by AWS Machine Learning November 22, 2023

Text embedding and sentence similarity retrieval at scale with Amazon SageMaker JumpStart

Favorite Text vectors or embeddings are numerical vector representations of text that are generated by large language models (LLMs). After LLMs are fully pre-trained on a large dataset or fine-tuned from different tasks, including text completion, question answering, and translations, text embeddings capture semantic information of the input text. Different

Read More
Shared by AWS Machine Learning November 22, 2023

Machine Learning with MATLAB and Amazon SageMaker

Favorite This post is written in collaboration with Brad Duncan, Rachel Johnson and Richard Alcock from MathWorks. MATLAB  is a popular programming tool for a wide range of applications, such as data processing, parallel computing, automation, simulation, machine learning, and artificial intelligence. It’s heavily used in many industries such as

Read More
Shared by AWS Machine Learning November 22, 2023