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How Cohere Health digitizes clinical policies using Amazon Bedrock AgentCore

In this post, you learn how Cohere Health built a multi-tenant agentic architecture on AgentCore using AgentCore Runtime’s secure MicroVM isolation, unified tool access through AgentCore Gateway, AgentCore Memory, and the Agent Skills open standard to rapidly scale policy digitization capabilities, while preserving transparency, version control, and human oversight.

How TReNDS automates root-cause analysis with Amazon Bedrock

TReNDS, a research center at Georgia State University, built an agentic AI pipeline on Amazon Bedrock and the open-source Strands Agents SDK that automatically investigates production errors in real time, reducing root-cause analysis from 15 to 30 minutes of manual work to under 60 seconds.

Determining playoff clinching scenarios in the NHL using constraint programming

The AWS Generative AI Innovation Center built an automated system that uses constraint programming and custom tree search to determine, with mathematical certainty, when and how an NHL team clinches a playoff spot. The approach was validated against four full NHL seasons of officially published results.

Sony could release a cheaper version of its WH-1000XM4 headphones, according to leaks

Following the release of its premium and very expensive $650 The Collexion headphones in May, Sony could be taking its 1000X line of wireless noise-canceling headphones in a cheaper direction next month. The company is reportedly planning a refreshed and more affordable version of its six-year-old WH-1000XM4 headphones that will feature similar performance and specs as the original but at a lower price point, according to reliable leaker billbil-kun. The WH-1000XM4C are expected to launch in ear

How and Why Netflix Built a Real-Time Distributed Graph: Part 3 — Querying the graph with gRPC…

How We Cut PyFlink Pipeline p99 Latency from 3-5 Seconds to ~500ms

The Problem: Our p99 Was 3-5 Seconds Our PyFlink pipeline was missing its latency SLO by seconds. The pipeline itself was straightforward: consume events from Kafka, transform them, serialize them as Protobuf, and write the results to downstream systems. Yet under production load, p99 end-to-end latency was consistently in the 3-5 second range. Profiling pointed us to an unexpected bottleneck: we were deserializing Protobuf messages in Python, even though the Flink runtime processing our stream

How Google Cloud detects, contains, and protects against emerging threats

At Google Cloud, securing your data and business systems is our foundational commitment. We empower our customers with the tools, governance, and infrastructure needed to securely deploy workloads and maintain long-term trust. We approach security from a shared fate model, and we continuously work to proactively identify and mitigate potential threats before they can compromise your data and misuse your infrastructure. Understanding the risk: How bad actors attempt to exploit cloud workloads Hyp