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Quick! To the Sheds!
Linkedin They say a man’s home is his castle but in days of olde was...October 16, 2026Blog Post
When Microwave AI Leaves the Lab
Linkedin For microwave imaging, a machine learning model can perform extremely well in the laboratory....October 15, 2026Blog Post
Data Migration Testing Series – Part 3 of 10: Data Transformation Testing
Linkedin Introduction In the previous chapter, we explored Data Integrity Testing, which focused on ensuring...October 14, 2026Blog Post
An AI can be brilliant and harmful in the same breath
Linkedin 5 connected essays on judging AI systems before trusting them publicly Our author, Antoine...October 13, 2026Blog Post
The Digital Tumor Board: Resolving Conflicts of Interest in Multi-Agent Diagnostic Networks
Linkedin Introduction In modern medicine, the most critical decisions are rarely made by a single...October 12, 2026Blog Post
Prompt Injection: The Security Problem Every Agentic AI Program Needs to Solve
Linkedin Image generated using Claude. Over the last year, I have spent a lot of...October 9, 2026Blog Post
What Counts as Ground Truth in Microwave Breast Imaging
Linkedin A machine learning model can only be as certain as the answer it was...October 8, 2026Blog Post
Data Migration Testing Series – Part 2: Data Integrity Testing
Linkedin Introduction In the first chapter of this series, we explored the importance of planning,...October 7, 2026Blog Post
Inference is the new training: Why HPC’s job isn’t done when the model ships
Linkedin For years, the High-Performance Computing (HPC) conversation around AI has centered on training: bigger...October 6, 2026Blog Post
The failure you fear is the loud one; the failure that ruins you whispers
Linkedin 5 connected essays on judging AI systems before trusting them publicly Our author, Antoine...October 5, 2026
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