Introducing ChatGPT and Whisper APIs
Developers can now integrate ChatGPT and Whisper models into their apps and products through our API.
Innocens BV leverages IBM Technology to Develop an AI Solution to help detect potential sepsis events in high-risk newborns
From the moment of birth to discharge, healthcare professionals can collect so much data about an infant’s vitals—for instance, heartbeat frequency or every rise and drop in blood oxygen level. Although medicine continues to advance further, there’s still much to be done to help reduce the number of premature births and infant mortality. The worldwide …
Use Snowflake as a data source to train ML models with Amazon SageMaker
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 …
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How data analytics and AI are helping achieve mission outcomes
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 …
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Palantir nie jest brokerem danych (Palantir Explained, #1)
(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 …
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Data ingestion pipeline with Operation Management
by Varun Sekhri, Meenakshi Jindal, Burak Bacioglu Introduction At Netflix, to promote and recommend the content to users in the best possible way there are many Media Algorithm teams which work hand in hand with content creators and editors. Several of these algorithms aim to improve different manual workflows so that we show the personalized promotional …
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Announcing the ICDAR 2023 Competition on Hierarchical Text Detection and Recognition
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 …
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Hosting YOLOv8 PyTorch models on Amazon SageMaker Endpoints
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 …
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AI Before You Buy: Israeli Startup Renders 3D Product Models for Top Retailers
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, …
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Improvements to Embedding-Matching Acoustic-to-Word ASR Using Multiple-Hypothesis Pronunciation-Based Embeddings
In embedding-matching acoustic-to-word (A2W) ASR, every word in the vocabulary is represented by a fixed-dimension embedding vector that can be added or removed independently of the rest of the system. The approach is potentially an elegant solution for the dynamic out-of-vocabulary (OOV) words problem, where speaker- and context-dependent named entities like contact names must be …