Unleashing Terraform for Kubernetes secret management with IBM Cloud Kubernetes Service and Secrets Manager

In this blog post, we explore the practical implementation of utilizing Terraform on IBM Cloud to create and manage secrets by seamlessly integrating your IBM Cloud Kubernetes Service with IBM Cloud Secrets Manager. Previously, this functionality to manage TLS and non-TLS certificates and secrets was primarily accessed through the CLI using the namespace ibmcloud ks …

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SimPer: Simple self-supervised learning of periodic targets

Posted by Daniel McDuff, Staff Research Scientist, and Yuzhe Yang, Student Researcher, Google Learning from periodic data (signals that repeat, such as a heart beat or the daily temperature changes on Earth’s surface) is crucial for many real-world applications, from monitoring weather systems to detecting vital signs. For example, in the environmental remote sensing domain, …

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Enhance Amazon Lex with conversational FAQ features using LLMs

Amazon Lex is a service that allows you to quickly and easily build conversational bots (“chatbots”), virtual agents, and interactive voice response (IVR) systems for applications such as Amazon Connect. Artificial intelligence (AI) and machine learning (ML) have been a focus for Amazon for over 20 years, and many of the capabilities that customers use …

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Document AI introduces powerful new Custom Document Splitter to automate document processing

Businesses rely on processing an inflow of documents to drive processes and make decisions. Many such documents are combined into a single file. For example, a loan application may have a driver’s license, paystub, W2, bank statement, and other document types within a single file. The complexity of handling many document types within a single …

Developing reliable AI tools for healthcare

We’ve published our joint paper with Google Research in Nature Medicine, which proposes CoDoC (Complementarity-driven Deferral-to-Clinical Workflow), an AI system that learns when to rely on predictive AI tools or defer to a clinician for the most accurate interpretation of medical images.

NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion

Novel view synthesis from a single image requires inferring occluded regions of objects and scenes while simultaneously maintaining semantic and physical consistency with the input. Existing approaches condition neural radiance fields (NeRF) on local image features, projecting points to the input image plane, and aggregating 2D features to perform volume rendering. However, under severe occlusion, …

Transforming customer service: How generative AI is changing the game

Whether placing an order, requesting a product exchange or asking about a billing concern, today’s customer demands an exceptional experience that includes quick, thorough answers to their inquiries. They also expect service to be delivered 24/7 across multiple channels. While traditional AI approaches provide customers with quick service, they have their limitations. Currently chat bots …

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Configure cross-account access of Amazon Redshift clusters in Amazon SageMaker Studio using VPC peering

With cloud computing, as compute power and data became more available, machine learning (ML) is now making an impact across every industry and is a core part of every business and industry. Amazon SageMaker Studio is the first fully integrated ML development environment (IDE) with a web-based visual interface. You can perform all ML development …

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Vodafone: A DevOps approach to AI/ML through cloud-native CI/CD pipelines

Vodafone is one of the largest telecommunications companies in the world, and committed to building next-generation connectivity and a sustainable digital future. Last year, we discussed AI Booster, an AI/ML platform that we built that runs on Google Cloud, and how we use it to optimize customer service, improve customer loyalty, and provide better product …