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Built with Google AI: Achieve better observability for ML models with Fiddler AI

Artificial Intelligence (AI) is increasingly playing an integral role in determining our day-to-day experiences. The applications of AI are rapidly expanding beyond search and recommendation systems to encompass high-stakes domains such as hiring, lending, criminal justice, healthcare, and education. The potential impact of AI on individuals, businesses, and society is vast, and it is essential …

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Improve prediction quality in custom classification models with Amazon Comprehend

Artificial intelligence (AI) and machine learning (ML) have seen widespread adoption across enterprise and government organizations. Processing unstructured data has become easier with the advancements in natural language processing (NLP) and user-friendly AI/ML services like Amazon Textract, Amazon Transcribe, and Amazon Comprehend. Organizations have started to use AI/ML services like Amazon Comprehend to build classification …

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Scalable spherical CNNs for scientific applications

Posted by Carlos Esteves and Ameesh Makadia, Research Scientists, Google Research, Athena Team Typical deep learning models for computer vision, like convolutional neural networks (CNNs) and vision transformers (ViT), process signals assuming planar (flat) spaces. For example, digital images are represented as a grid of pixels on a plane. However, this type of data makes …

Seven key insights on GraphQL trends

GraphQL has emerged as a key technology in the API space, with a growing number of organizations adopting this new API structure into their ecosystems. GraphQL is often seen as an alternative to REST APIs, which have been around for a long time. Compared to REST APIs (or other traditional API specifications), GraphQL provides more …

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Scalable spherical CNNs for scientific applications

Posted by Carlos Esteves and Ameesh Makadia, Research Scientists, Google Research, Athena Team Typical deep learning models for computer vision, like convolutional neural networks (CNNs) and vision transformers (ViT), process signals assuming planar (flat) spaces. For example, digital images are represented as a grid of pixels on a plane. However, this type of data makes …

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Simplify medical image classification using Amazon SageMaker Canvas

Analyzing medical images plays a crucial role in diagnosing and treating diseases. The ability to automate this process using machine learning (ML) techniques allows healthcare professionals to more quickly diagnose certain cancers, coronary diseases, and ophthalmologic conditions. However, one of the key challenges faced by clinicians and researchers in this field is the time-consuming and …

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Generative AI for retail: how to keep pace and get ahead

Generative AI marks a significant technological shift. Like the internet or the mobile phone, its potential impact on individual and business productivity is extraordinary. Indeed, 82% of organizations considering or currently using generative AI believe it will either significantly change or transform their industry (Google Cloud Gen AI Benchmarking Study, July 2023). In retail, the …

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Only 1 Month To Go: The Chatbot Conference Awaits!

The countdown has officially begun! We’re just one month away from the highly anticipated Chatbot Conference, and the excitement is palpable. As we gear up for what promises to be an enlightening and engaging day, here’s a quick refresher on what to expect: LLMs Uncovered: Delve deep into Large Language Models and get a grasp of …

Scaling up learning across many different robot types

We are launching a new set of resources for general-purpose robotics learning across different robot types, or embodiments. Together with partners from 34 academic labs we have pooled data from 22 different robot types to create the Open X-Embodiment dataset. We also release RT-1-X, a robotics transformer (RT) model derived from RT-1 and trained on …