Category: FAANG

Amazon SageMaker is a fully managed machine learning (ML) service. With SageMaker, data scientists and developers can quickly and easily build and train ML models, and then directly deploy them into a production-ready hosted environment. Sagemaker provides an integrated Jupyter authoring notebook instance for easy access to your data sources for exploration and analysis, so …

Read more “Use Snowflake as a data source to train ML models with Amazon SageMaker”

Whether it’s to improve the customer experience, support climate resilience, or accelerate research discoveries, government and industry leaders are turning to data analytics and artificial intelligence (AI) to support mission outcomes at scale. Today we’re sharing tips from organizations who joined us at last year’s Google Government Summit (with many sessions now available on-demand). FEMA: Unifying the …

Read more “How data analytics and AI are helping achieve mission outcomes”

(An English-language version of this post can be read here.) Palantir jest często określany jako “tajemnicza firma”. Jest w tym określeniu ziarno prawdy. Od dwóch dekad współpracujemy z instytucjami o najwyższych standardach poufności, nie wyłączając dziedzin takich jak obronność i bezpieczeństwo narodowe. Charakter tej współpracy często wymuszał na nas zachowanie milczenia, również wtedy, gdy w mediach …

Read more “Palantir nie jest brokerem danych (Palantir Explained, #1)”

Posted by Shangbang Long, Software Engineer, Google Research The last few decades have witnessed the rapid development of Optical Character Recognition (OCR) technology, which has evolved from an academic benchmark task used in early breakthroughs of deep learning research to tangible products available in consumer devices and to third party developers for daily use. These …

Read more “Announcing the ICDAR 2023 Competition on Hierarchical Text Detection and Recognition”

Deploying models at scale can be a cumbersome task for many data scientists and machine learning engineers. However, Amazon SageMaker endpoints provide a simple solution for deploying and scaling your machine learning (ML) model inferences. Our last blog post and GitHub repo on hosting a YOLOv5 TensorFlowModel on Amazon SageMaker Endpoints sparked a lot of interest …

Read more “Hosting YOLOv8 PyTorch models on Amazon SageMaker Endpoints”

Preparing a retailer’s online catalog once required expensive physical photoshoots to capture products from every angle. A Tel Aviv startup is saving brands time and money by transforming these camera clicks into mouse clicks. Hexa uses GPU-accelerated computing to help companies turn their online inventory into 3D renders that shoppers can view in 360 degrees, …

Read more “AI Before You Buy: Israeli Startup Renders 3D Product Models for Top Retailers”

Posted by Yu Zhang, Research Scientist, and James Qin, Software Engineer, Google Research Last November, we announced the 1,000 Languages Initiative, an ambitious commitment to build a machine learning (ML) model that would support the world’s one thousand most-spoken languages, bringing greater inclusion to billions of people around the globe. However, some of these languages …

Read more “Universal Speech Model (USM): State-of-the-art speech AI for 100+ languages”

Language models are statistical methods predicting the succession of tokens in sequences, using natural text. Large language models (LLMs) are neural network-based language models with hundreds of millions (BERT) to over a trillion parameters (MiCS), and whose size makes single-GPU training impractical. LLMs’ generative abilities make them popular for text synthesis, summarization, machine translation, and …

Read more “Training large language models on Amazon SageMaker: Best practices”