AI governance is rapidly evolving — Here’s how government agencies must prepare

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

The global AI governance landscape is complex and rapidly evolving. Key themes and concerns are emerging, however government agencies must get ahead of the game by evaluating their agency-specific priorities and processes. Compliance with official policies through auditing tools and other measures is merely the final step. The groundwork for effectively operationalizing governance is human-centered, …

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Cost-effective document classification using the Amazon Titan Multimodal Embeddings Model

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Organizations across industries want to categorize and extract insights from high volumes of documents of different formats. Manually processing these documents to classify and extract information remains expensive, error prone, and difficult to scale. Advances in generative artificial intelligence (AI) have given rise to intelligent document processing (IDP) solutions that can automate the document classification, …

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Introducing multimodal and structured data embedding support in BigQuery

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Embeddings represent real-world objects, like entities, text, images, or videos as an array of numbers (a.k.a vectors) that machine learning models can easily process. Embeddings are the building blocks of many ML applications such as semantic search, recommendations, clustering, outlier detection, named entity extraction, and more. Last year, we introduced support for text embeddings in …

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New computer vision tool can count damaged buildings in crisis zones and accurately estimate bird flock sizes

by AI Generated Robotic ContentAI/ML NewsPosted on Comments are Disabled

A team of computer scientists at the University of Massachusetts Amherst working on two different problems—how to quickly detect damaged buildings in crisis zones and how to accurately estimate the size of bird flocks—recently announced an AI framework that can do both. The framework, called DISCount, blends the speed and massive data-crunching power of artificial …

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ELLA SDXL weights confirmed to NEVER be released

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They confirmed that the SDXL weights won’t be released, and they’re probably going to do the same for the training code as well: https://github.com/TencentQQGYLab/ELLA/issues/16#issuecomment-2046795891 I’m not being a cynic, but I’ve been in academia long enough to know how people (usually early in career) tend to (heavy stress on “tend to”) value the publication itself …

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The future of application delivery starts with modernization

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IDC estimates that 750 million cloud native will be built by 2025. Where and how these applications are deployed will impact time to market and value realization. The reality is that application landscapes are complex, and they challenge enterprises to maintain and modernize existing infrastructure, while delivering new cloud-native features. Three in four executives reported …

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Build an active learning pipeline for automatic annotation of images with AWS services

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This blog post is co-written with Caroline Chung from Veoneer. Veoneer is a global automotive electronics company and a world leader in automotive electronic safety systems. They offer best-in-class restraint control systems and have delivered over 1 billion electronic control units and crash sensors to car manufacturers globally. The company continues to build on a …

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Performance deep dive of Gemma on Google Cloud

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Earlier this year we announced Gemma, an open weights model family built to enable developers to rapidly experiment with, adapt, and productionize on Google Cloud. Gemma models can run on your laptop, workstation, or on Google Cloud through either Vertex AI or Google Kubernetes Engine (GKE) using your choice of Cloud GPUs or Cloud TPUs. …

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