InfoQ (59 minutes ago)
Agentic AI architecture extends microservices and cloud-native architectures with AI agents that work with context, memory, and protocols such as MCP and A2A. The article covers bounded-context integration, task-dependent coordination strategies, new security risks, and observability needs.
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In this episode, Edoardo Vacchi discusses the evolving landscape of WebAssembly on the backend, running Java workloads on GPUs using TornadoVM, and optimizing distributed AI inference using llm-d and vLLM on Kubernetes.
At the recent PyTorch Conference North America 2026, Amazon introduced TorchNeuron, a native PyTorch backend that enables developers to run existing PyTorch code on AWS Trainium AI chips with virtually no code modifications. By Sergio De Simone
As the publishing industry wrestles with paranoia over the provenance of manuscripts, writers are caught in an impossible bind.
AI ROI should measure quality, workflow improvements and cost efficiency, not token consumption.
Music fan from Wales lets listeners pit AI-generated songs against human bops – including toilet operas and HR protest songs
The AI detector will now check your incoming emails for machine-generated text.
Pinterest has moved its user-journey inference system from a multi-stage clustering pipeline to a fine-tuned 4-billion-parameter language model, reporting a 1.1% improvement in email click-through and 1.3% higher push opens. By Matt Foster
Topcoat is an open-source, server-rendered full-stack web framework for Rust from the Tokio team, now public at version 0.9. It uses Rust expressions translated to JavaScript for reactivity instead of WebAssembly. It targets typical database-driven apps.
Entire is a Git forge designed specifically for collaboration between human developers and AI coding agents.
Google Cloud has made a self-managed VMware solution generally available, running VMware Cloud Foundation 9.x on dedicated Z3 bare metal with root access across ESXi, vCenter and NSX in 22 regions.
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