Few direct matches — filled in with the latest updates.
Tag: #agentcore4 results
This post demonstrates building a Slack integration for Amazon Bedrock AgentCore using AWS CDK. It covers deploying three Lambda functions, configuring event subscriptions for Slack security, and implementing conversation management patterns.
Announces proxy configuration, browser profiles, and extensions for Amazon Bedrock AgentCore Browser. These enable fine-grained control over AI agent web interactions. Includes configuration examples and use cases.
Context messaging and async task framework for long-running MCP servers. Integrates Bedrock AgentCore with Strands Agents. Enables reliable complex operations.
Outlines building long-running MCP servers with Bedrock AgentCore and Strands Agents. Features context messaging for continuous communication and async task management. Supports production-ready complex operations.
KCD Hangzhou has opened its call for papers, inviting the community to discuss cloud native technologies, observability, and large-model inference in the Agent era. The announcement targets practitioners interested in sharing or learning about the infrastructure behind AI agents.
Wired AI argues that Silicon Valley technology leaders do not understand society’s growing frustrations with AI. The article criticizes their public messaging as disconnected from legitimate concerns about AI’s impact.
Alibaba’s profit plunged after it raised quarterly capital expenditure for AI to nearly $10 billion. The report also examines Meta’s growing role as a Microsoft AI customer and Castelion’s plans to scale hypersonic missile production.
Linkdaze is positioning its smart digital calendar as a tool for managing an entire household rather than simply tracking appointments. Its AI meal planner is included without requiring a paid subscription.
Mayfield has invested more than $3 billion in AI companies, often before founders have built products or formally incorporated. Managing Partner Navin Chaddha explains the firm’s belief in AI as a potential “100x opportunity” and its decision to remain focused on early-stage investing.
The discussion proposes treating a transformer’s KV cache as a high-dimensional, navigable vector space rather than a flat array. This could enable indexing and localized attention, reducing the need to scan all stored context at every inference step.