Fleet-wide computer vision model lifecycle management is a problem that shows up the moment a quality inspection proof of concept succeeds. One camera and one model work fine. Then the plant asks for the same result on 40 lines, each with several cameras, and every camera sees the world differently. Each has a different angle, …
Read more “Fleet-wide computer vision lifecycle at the edge with SageMaker SDK v3”
Every day, countless financial transactions are interrupted by slow, expensive, and inflexible conventional payment systems. As a result, public commercial stablecoins like Tether, USDC, and PayPal USD have become increasingly popular by making it easy to move money efficiently with instant, 24/7 blockchain settlement. Yet major regulated banks have largely kept such transactions at arm’s …
Scientists have discovered a way to operate multiple silicon qubits simultaneously with remarkable accuracy, overcoming a major challenge in scaling up quantum computers. Their new technique maintained accuracy of approximately 99.9% even when all five qubits were running at once, opening the door to larger and more powerful quantum processors.
By Roberto Perez Alcolea, Java Platform Team Quasar connects a proposed API change with observed references in consumer repositories, giving the producer evidence for a release decision At Netflix, shared Java libraries support applications developed across a large, independently evolving repository ecosystem. A library change begins in one repository, but its impact can reach many others. Producers …
Read more “Beyond API Compatibility: Building a Tool to Measure the Blast Radius of Library Changes”
Most fine-tuning teaches a model to produce a better answer to a single prompt. Agentic tasks are different. An agent that files an expense report or triages a support ticket takes a sequence of actions, and each step depends on what came before. There’s rarely one correct sequence to imitate, and the only reliable feedback …
Read more “Multi-Turn Reinforcement Learning on Amazon SageMaker AI: A hands-on guide”
Samartha Chandrashekar & Nick Parker You click play on a Friday night, and in the second that follows, dozens of services answer in milliseconds. Most of them run on Titus, our internal container platform. Titus is, in essence, a Kubernetes-based container hosting platform: we keep both the control plane and the data plane (the container hosts …
Read more “Single-tenant Titus: VM-level isolation on a multi-tenant container platform”
Amazon Polly Generative engine now offers more natural and accurate speech output. We’re introducing an upgrade to the Amazon Polly Generative engine that delivers more expressive, more accurate speech output with low latency. The upgrade adds 14 new voices across 9 locales, including general availability of Generative voices in Hindi and Finnish for the first …
Read more “Amazon Polly delivers a major upgrade to its Generative engine”
Every organization has unique requirements for building and scaling generative AI. At Google Cloud, we are committed to giving developers model choice and architectural flexibility to run workloads however they need. Today, we’re announcing the general availability of an Anthropic-managed deployment option for Claude Models on Google Cloud. This gives teams more choice in how …
Read more “Expanding Claude availability and deployment choice on Google Cloud”
When enterprise data sits behind a corporate firewall or in a private on-premises data center, there’s no direct network path from AWS, even though the AI agents and dashboards in Amazon Quick can query virtually any data source. Administrators must make sure their sensitive enterprise data isn’t exposed to the public internet while being accessible …
Read more “Securing Quick access from corporate networks with AWS PrivateLink”
Google Cloud has always been defined by choice, enterprise-grade governance, and market-leading price-performance. Key to the foundation of openness and choice is giving customers flexibility to run agentic workloads across their choice of models and infrastructure to achieve the right balance of cost, capability, and performance. Today, we are expanding that foundation by launching OpenAI …
Read more “Google Cloud expands model choice and flexibility, bringing OpenAI models to customers”