Atlassian now runs nearly one AI agent per employee. I met with SVP Tal Saraf to discuss what's working, who's building them, and why the gaps matter.
Quality engineering must evolve faster than code; otherwise, agentic AI will move quickly, learn rapidly and fail expensively.
Spirent Luma uses a multi-agent architecture and deterministic rule sets to automate root cause analysis in multi-technology network environments.
Recently launched in technical preview, GitHub Agentic Workflows introduce a way to automate complex, repetitive repository ...
Abstract: The growing complexity of software systems and the need for more rapid, high-quality software releases have created the need for intelligent and automated testing mechanisms. Drawing on ...
The dataset utilized in this paper is introduced in https://doi.org/10.1007/s10664-022-10247-x. It includes performance measurements from 500+ JMH microbenchmarks ...
Unified integration of OpenCog core components as a single monorepo, designed for ease of deployment, automation, and interactive neural-symbolic exploration. All components are directly included (no ...
DynPen: Automated Penetration Testing in Dynamic Network Scenarios Using Deep Reinforcement Learning
Abstract: Penetration testing, a crucial industrial practice for securing networked systems and infrastructures, has traditionally depended on the extensive expertise of human professionals.
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