Written by Johannes Beekman
Key Takeaway: Domain-specific language models focus on one field or industry, rather than trying to cover everything at once. By learning the language, document structures, and norms of a specific … Continue reading “Domain-Specific Language Models: An Introduction”
Written by Johannes Beekman
AI, Guardrails, and the New Shape of Software Creation Abstract. AI has done more than speed up software work. It has shifted where stability comes from. In the past, discipline … Continue reading “How AI Is Reshaping Software Governance—Not Just Development”
Written by Johannes Beekman
Key Takeaway: Multi-agent systems describe an AI approach where multiple autonomous agents work together, each handling a specific role, to solve problems more effectively than a single system acting alone. … Continue reading “Multi-Agent Systems: How Autonomous Agents Work Together”
Written by Johannes Beekman
Key Takeaway: Confidential computing strengthens modern cloud security by protecting sensitive data while it is actively being processed, not just when it is stored or transmitted. By using hardware-based isolation … Continue reading “What Is Confidential Computing—and Its Role in Modern Cloud Security”
Written by Johannes Beekman
Rethinking Quality and Assurance in Adaptive Physical AI Systems Abstract “In control” used to mean something operational: the process was stable enough to predict, the measurement system was trustworthy, … Continue reading “When “In Control” Stops Meaning Stable”
Written by Johannes Beekman
Key Takeaway: AI supercomputing refers to the coordinated use of large-scale computing systems to train and run advanced AI models faster and more efficiently. It matters because it underpins many … Continue reading “AI Supercomputing: What It Is and Why It Matters”
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