Microsoft's new vulnerability-scanning system, codenamed MDASH, scored 88.45% on the CyberGym benchmark, surpassing ...
Paulo Arruda discusses Shopify’s evolution in AI adoption, moving from simple chat tools to a sophisticated swarm of ...
Let's break down the approach I've found to be essential for scaling a multi-agentic foundation in the enterprise. ...
Multi-Agent Systems In Business: Evaluation, Governance And Optimization For Cost And Sustainability
Today, multi-agent systems (MAS) have emerged as transformative technologies, driving innovation and efficiency across various industries. Comprising multiple autonomous agents working collaboratively ...
Keycard for Multi-Agent Apps Lets Developers Build Secure Autonomous Applications Where Access is Delegated Between Agents, on a Per-Task Basis, Without Standing Privileges ...
Hermes Agent v2.0 introduces background computer use, multi-agent orchestration, and advanced AI model integrations for ...
Most agentic AI in lending today automates the loan officer's work. The harder problem — and the bigger prize — is automating the work above it: designing, configuring and shipping new lending ...
Discover why the Hermes Agent desktop app is becoming the preferred alternative to OpenClaw for developers needing 24/7 local ...
The biggest challenge to AI initiatives is the data they rely on. More powerful computing and higher-capacity storage at lower cost has created a flood of information, and not all of it is clean. It ...
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