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    <title>InfoQ - AI, ML &amp; Data Engineering - News</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ AI, ML &amp; Data Engineering News feed</description>
    <item>
      <title>Anthropic Launches Claude Platform on AWS</title>
      <link>https://www.infoq.com/news/2026/05/anthropic-claude-aws/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/05/anthropic-claude-aws/en/headerimage/generatedHeaderImage-1778682420283.jpg"/&gt;&lt;p&gt;Anthropic has announced the general availability of Claude Platform on AWS, a new deployment option that gives AWS customers direct access to Anthropic’s native Claude platform using AWS authentication, billing, and monitoring services.&lt;/p&gt; &lt;i&gt;By Daniel Dominguez&lt;/i&gt;</description>
      <category>Anthropic</category>
      <category>AWS</category>
      <category>Software Development</category>
      <category>Claude</category>
      <category>Cloud Computing</category>
      <category>Artificial Intelligence</category>
      <category>Large language models</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Wed, 13 May 2026 19:20:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/anthropic-claude-aws/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</guid>
      <dc:creator>Daniel Dominguez</dc:creator>
      <dc:date>2026-05-13T19:20:00Z</dc:date>
      <dc:identifier>/news/2026/05/anthropic-claude-aws/en</dc:identifier>
    </item>
    <item>
      <title>AWS WorkSpaces Now Lets AI Agents Operate Legacy Desktop Applications Without APIs</title>
      <link>https://www.infoq.com/news/2026/05/aws-workspaces-ai-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/05/aws-workspaces-ai-agents/en/headerimage/generatedHeaderImage-1778485554177.jpg"/&gt;&lt;p&gt;AWS announced that Amazon WorkSpaces can now serve as managed virtual desktops for AI agents in public preview. Agents authenticate through IAM and operate legacy applications via computer vision and input simulation without APIs. Reflex benchmarks show vision agents consume 45x more tokens than API agents.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Automation</category>
      <category>Cloud Architecture</category>
      <category>AWS</category>
      <category>Amazon Web Services</category>
      <category>Amazon</category>
      <category>Agents</category>
      <category>AI Architecture</category>
      <category>Cloud</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Wed, 13 May 2026 07:31:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/aws-workspaces-ai-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-05-13T07:31:00Z</dc:date>
      <dc:identifier>/news/2026/05/aws-workspaces-ai-agents/en</dc:identifier>
    </item>
    <item>
      <title>Coder Agents Enable Running AI Coding Workflows on Self-Hosted Infrastructure</title>
      <link>https://www.infoq.com/news/2026/05/coder-agents-self-hosted-ai/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/05/coder-agents-self-hosted-ai/en/headerimage/coder-agents-self-hosted-ai-1778516884639.jpeg"/&gt;&lt;p&gt;Coder Agents is a model-agnostic platform designed to let organizations run AI coding agents on their own infrastructure, rather than relying on cloud-based services. This allows teams to maintain full control over code, data, and execution environments.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>AI Coding</category>
      <category>Agents</category>
      <category>Large language models</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Mon, 11 May 2026 17:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/coder-agents-self-hosted-ai/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</guid>
      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2026-05-11T17:00:00Z</dc:date>
      <dc:identifier>/news/2026/05/coder-agents-self-hosted-ai/en</dc:identifier>
    </item>
    <item>
      <title>Netflix Introduces ‘Model Lifecycle Graph’ to Scale Enterprise Machine Learning</title>
      <link>https://www.infoq.com/news/2026/05/netflix-ml-graph/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/05/netflix-ml-graph/en/headerimage/generatedHeaderImage-1778283879608.jpg"/&gt;&lt;p&gt;Netflix has developed a graph-based architecture for managing machine learning systems, called the Model Lifecycle Graph. This system maps interconnections between datasets, models, features, and workflows, addressing challenges in scaling ML operations. It enhances discoverability, governance, and component reuse while supporting a self-service approach for engineers and data scientists.&lt;/p&gt; &lt;i&gt;By Matt Foster&lt;/i&gt;</description>
      <category>Platform Engineering</category>
      <category>Machine Learning</category>
      <category>MLOps</category>
      <category>AI Architecture</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 11 May 2026 07:30:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/netflix-ml-graph/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</guid>
      <dc:creator>Matt Foster</dc:creator>
      <dc:date>2026-05-11T07:30:00Z</dc:date>
      <dc:identifier>/news/2026/05/netflix-ml-graph/en</dc:identifier>
    </item>
    <item>
      <title>MySQL 9.7: First Major LTS Since 8.4 Brings Enterprise Features to Community Edition</title>
      <link>https://www.infoq.com/news/2026/05/mysql-97-lts/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/05/mysql-97-lts/en/headerimage/generatedHeaderImage-1777530966582.jpg"/&gt;&lt;p&gt;Oracle has announced the general availability of MySQL 9.7.0, marking the start of a new 9.7 LTS release series and the first major one since MySQL 8.4. The release arrives amid community concerns about declining MySQL development activity and Oracle's long-term commitment to the project.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>MySQL</category>
      <category>Open Source</category>
      <category>Relational Databases</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sun, 10 May 2026 06:30:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/mysql-97-lts/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</guid>
      <dc:creator>Renato Losio</dc:creator>
      <dc:date>2026-05-10T06:30:00Z</dc:date>
      <dc:identifier>/news/2026/05/mysql-97-lts/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare Ships Dynamic Workflows, Bringing Durable Execution to Per-Tenant and Per-Agent Code</title>
      <link>https://www.infoq.com/news/2026/05/cloudflare-dynamic-workflows/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/05/cloudflare-dynamic-workflows/en/headerimage/generatedHeaderImage-1778146936420.jpg"/&gt;&lt;p&gt;Cloudflare released Dynamic Workflows, an MIT-licensed library that extends its durable execution engine so workflow code can differ per tenant, agent, or request at runtime. Built on Dynamic Workers, the library enables platforms to serve millions of unique durable workflows at near-zero idle cost. CI/CD and agent plan execution are the headline use cases.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Cloud Architecture</category>
      <category>Platform Engineering</category>
      <category>Cloudflare</category>
      <category>Cloud</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sat, 09 May 2026 09:31:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/cloudflare-dynamic-workflows/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-05-09T09:31:00Z</dc:date>
      <dc:identifier>/news/2026/05/cloudflare-dynamic-workflows/en</dc:identifier>
    </item>
    <item>
      <title>How GitHub Is Securing Agentic Workflows in Modern CI CD Systems</title>
      <link>https://www.infoq.com/news/2026/05/github-agentic-workflows/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/05/github-agentic-workflows/en/headerimage/generatedHeaderImage-1777009566990.jpg"/&gt;&lt;p&gt;GitHub detailed a defense-in-depth security architecture for agentic workflows in CI/CD pipelines, focusing on isolation, constrained execution, and auditability. The design aims to safely integrate autonomous AI agents while mitigating risks like prompt injection, privilege escalation, and unintended actions, using sandboxed environments, restricted permissions, and full execution traceability.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Cloud Security</category>
      <category>Continuous Improvement</category>
      <category>GitHub Actions</category>
      <category>Continuous Integration</category>
      <category>Logging</category>
      <category>Observability</category>
      <category>Security</category>
      <category>Agents</category>
      <category>AI Architecture</category>
      <category>Continuous Deployment</category>
      <category>Workflow / BPM</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Fri, 08 May 2026 14:38:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/github-agentic-workflows/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-05-08T14:38:00Z</dc:date>
      <dc:identifier>/news/2026/05/github-agentic-workflows/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare Launches “Artifacts” Beta, Introducing Git-Like Versioning for AI Agents</title>
      <link>https://www.infoq.com/news/2026/05/cloudflare-artifacts-ai-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/05/cloudflare-artifacts-ai-agents/en/headerimage/generatedHeaderImage-1777891963459.jpg"/&gt;&lt;p&gt;Cloudflare has announced the beta release of Artifacts, a new system designed to bring Git-style version control to AI agents, enabling developers to track, manage, and evolve agent-generated outputs with the same rigor as traditional code.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>git</category>
      <category>Agents</category>
      <category>Artificial Intelligence</category>
      <category>Cloudflare</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Fri, 08 May 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/cloudflare-artifacts-ai-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</guid>
      <dc:creator>Craig Risi</dc:creator>
      <dc:date>2026-05-08T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/05/cloudflare-artifacts-ai-agents/en</dc:identifier>
    </item>
    <item>
      <title>OpenAI Introduces Websocket-Based Execution Mode to Reduce Latency in Agentic Workflows</title>
      <link>https://www.infoq.com/news/2026/05/openai-websocket-responses-api/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/05/openai-websocket-responses-api/en/headerimage/generatedHeaderImage-1777845282531.jpg"/&gt;&lt;p&gt;OpenAI introduces a WebSocket-based execution mode for its Responses API to improve agentic workflow performance in coding agents and real-time AI systems. The update reduces latency by up to 40 percent by replacing HTTP request-response cycles with persistent connections, improving streaming, tool execution, and multi-step orchestration in production-scale AI systems.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>WebSocket</category>
      <category>Distributed Systems</category>
      <category>Low Latency</category>
      <category>Artificial Intelligence</category>
      <category>OpenAI</category>
      <category>API</category>
      <category>Workflow Foundation</category>
      <category>Orchestration</category>
      <category>SDK</category>
      <category>Realtime API</category>
      <category>Optimization</category>
      <category>Agents</category>
      <category>AI Architecture</category>
      <category>Large language models</category>
      <category>AI Assisted Coding</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Thu, 07 May 2026 14:48:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/openai-websocket-responses-api/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-05-07T14:48:00Z</dc:date>
      <dc:identifier>/news/2026/05/openai-websocket-responses-api/en</dc:identifier>
    </item>
    <item>
      <title>Google Announces GKE Agent Sandbox and Hypercluster at Next '26, Positioning Kubernetes as AI Agent</title>
      <link>https://www.infoq.com/news/2026/05/gke-agent-sandbox-hypercluster/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/05/gke-agent-sandbox-hypercluster/en/headerimage/generatedHeaderImage-1777875585040.jpg"/&gt;&lt;p&gt;Google announced GKE Agent Sandbox and hypercluster at Cloud Next '26. Agent Sandbox uses gVisor kernel isolation for secure agent code execution at 300 sandboxes per second, built as an open-source Kubernetes SIG Apps subproject. It is currently the only native agent sandbox among the three major hyperscalers. Hypercluster manages a million chips from a single control plane.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Cloud Native Computing Foundation</category>
      <category>Google Cloud Platform</category>
      <category>Google Cloud</category>
      <category>AI Architecture</category>
      <category>Containers</category>
      <category>Cloud</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Thu, 07 May 2026 10:06:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/gke-agent-sandbox-hypercluster/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-05-07T10:06:00Z</dc:date>
      <dc:identifier>/news/2026/05/gke-agent-sandbox-hypercluster/en</dc:identifier>
    </item>
    <item>
      <title>LinkedIn Consolidates Hiring Data Pipelines to Power AI Driven Talent Systems</title>
      <link>https://www.infoq.com/news/2026/05/linkedin-unified-hiring-platform/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/05/linkedin-unified-hiring-platform/en/headerimage/generatedHeaderImage-1776925266106.jpg"/&gt;&lt;p&gt;LinkedIn introduced a unified integrations platform to standardize and reconcile hiring data across systems. The platform reduces onboarding time by 72%, improves data consistency and completeness, and enables scalable AI-driven hiring features through standardized schemas, orchestration workflows, and centralized data processing.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Integration</category>
      <category>Unification</category>
      <category>Data Pipelines</category>
      <category>Data Analytics</category>
      <category>Platforms</category>
      <category>Evolutionary Architecture</category>
      <category>Hiring</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Wed, 06 May 2026 14:15:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/linkedin-unified-hiring-platform/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-05-06T14:15:00Z</dc:date>
      <dc:identifier>/news/2026/05/linkedin-unified-hiring-platform/en</dc:identifier>
    </item>
    <item>
      <title>Google New TPU Generation is Specifically Designed for Agents and SOTA Model Training</title>
      <link>https://www.infoq.com/news/2026/05/google-8th-tpu-generation/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/05/google-8th-tpu-generation/en/headerimage/google-8th-gen-tpus-1778060595193.jpeg"/&gt;&lt;p&gt;Google has unvelied a new generation of Tensor Processing Units (TPUs), featuring two specialized chips designed to accelerate model training and agent workflows, which require continuous, multi-step reasoning, and action loops distributed across multiple models. The new TPUs deliver better performance, memory, and energy efficiency, the company says.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Google</category>
      <category>Agents</category>
      <category>GPU</category>
      <category>Large language models</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Wed, 06 May 2026 10:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/google-8th-tpu-generation/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</guid>
      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2026-05-06T10:00:00Z</dc:date>
      <dc:identifier>/news/2026/05/google-8th-tpu-generation/en</dc:identifier>
    </item>
    <item>
      <title>Inside Claude Code Auto Mode: Anthropic’s Autonomous Coding System with Human Approval Gates</title>
      <link>https://www.infoq.com/news/2026/05/anthropic-claude-code-auto-mode/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/05/anthropic-claude-code-auto-mode/en/headerimage/generatedHeaderImage-1777787075311.jpg"/&gt;&lt;p&gt;Anthropic has introduced auto mode in Claude Code, enabling multi-step software development workflows with reduced manual intervention. The feature combines automated execution with layered safety mechanisms, including input filtering, action evaluation, and two-stage classification, while maintaining human approval checkpoints for sensitive operations.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>AI Coding</category>
      <category>Anthropic</category>
      <category>Orchestration</category>
      <category>Claude</category>
      <category>Developer Experience</category>
      <category>AI Architecture</category>
      <category>AI Assisted Coding</category>
      <category>AI Development</category>
      <category>autonomous</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Tue, 05 May 2026 14:38:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/anthropic-claude-code-auto-mode/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-05-05T14:38:00Z</dc:date>
      <dc:identifier>/news/2026/05/anthropic-claude-code-auto-mode/en</dc:identifier>
    </item>
    <item>
      <title>Mistral Adds Remote Agents and Work Mode to Le Chat</title>
      <link>https://www.infoq.com/news/2026/05/mistral-agents-lechat/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/05/mistral-agents-lechat/en/headerimage/generatedHeaderImage-1777663082615.jpg"/&gt;&lt;p&gt;Mistral has released Mistral Medium 3.5, a 128-billion parameter model designed to handle instruction following, reasoning, and coding within a single system, and introduced new cloud-based agent capabilities in its Vibe and Le Chat products.&lt;/p&gt; &lt;i&gt;By Daniel Dominguez&lt;/i&gt;</description>
      <category>OpenAI</category>
      <category>Mistral AI</category>
      <category>Agents</category>
      <category>Artificial Intelligence</category>
      <category>Large language models</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Tue, 05 May 2026 10:08:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/mistral-agents-lechat/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</guid>
      <dc:creator>Daniel Dominguez</dc:creator>
      <dc:date>2026-05-05T10:08:00Z</dc:date>
      <dc:identifier>/news/2026/05/mistral-agents-lechat/en</dc:identifier>
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      <title>Cloudflare Processes 10M+ Daily Insights with New Security Overview Dashboard</title>
      <link>https://www.infoq.com/news/2026/05/cloudflare-security-dashboard/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/05/cloudflare-security-dashboard/en/headerimage/cloudflaredashboard-1776822044625.jpeg"/&gt;&lt;p&gt;Cloudflare has launched a Security Overview dashboard that consolidates security signals into prioritized action items. It surfaces millions of daily insights, helping teams identify and remediate critical risks faster. Built on distributed checkers and real-time event processing, it integrates analytics workflows to reduce investigation overhead and improve response efficiency.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Threat detection</category>
      <category>Security Assessment</category>
      <category>Incident Response</category>
      <category>Threats</category>
      <category>Security</category>
      <category>Observability</category>
      <category>Security Vulnerabilities</category>
      <category>Cloudflare</category>
      <category>Real Time</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 04 May 2026 14:33:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/cloudflare-security-dashboard/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-news</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-05-04T14:33:00Z</dc:date>
      <dc:identifier>/news/2026/05/cloudflare-security-dashboard/en</dc:identifier>
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