machine learning

Quantum Mechanics is a fundamental theory in physics that explains phenomena at a microscopic scale (like atoms and subatomic particles). This “latest” (1900) field differs from Classical Physics, which describes nature at a macroscopic scale (like bodies and machines)...

first predictive model in healthcare looked like a house run. It answered the business query. The performance metrics were strong. The logic was clean. It also would have failed spectacularly in production. That lesson modified how...

an Edinburgh-trained PhD in Information Retrieval from Victor Lavrenko’s Multimedia Information Retrieval Lab at Edinburgh, where I trained within the late 2000s, I even have long viewed retrieval through the framework of traditional...

is an incredibly effective coding agent, which you should use to perform most cognitive tasks in your computer. Nonetheless, continual learning remains to be a task we’re struggling to show agents. Moreover, continual learning...

shipped a readmission-prediction model in early 2024. This can be a composite case drawn from patterns documented by Hernán & Robins in , but every detail maps to real deployment failures.  Accuracy on the held-out test...

, every metric looked perfect.RWSS = 1.000. Output probabilities unchanged. No labels moved.All the pieces said “all clear.” Then the alert fired anyway. Window 3: severity=warning RWSS=1.000 fired=True ← FIDI Z fires here The model’s predictions didn’t...

fails in predictable ways. Retrieval returns bad chunks; the model hallucinates. You fix your chunking and move on. The debugging surface is small since the architecture is straightforward: retrieve once, generate once, done. Agentic...

had spent nine days constructing something with Replit’s Artificial Intelligence (AI) coding agent. Not experimenting — constructing. A business contact database: 1,206 executives, 1,196 firms, sourced and structured over months of labor. He...