Z-Score Thresholds vs. Isolation Forest: What Each Catches in Expense Fraud
A synthetic expense-fraud test: z-score thresholds catch 98% of obvious spikes but only 4% of contextual fraud; Isolation Forest catches 46% of the same cases.
-
-
INT8 Quantization Keeps Accuracy Intact, But Doesn’t Automatically Save Energy
A 10-seed benchmark shows INT8 weight quantization cuts memory 8x with zero accuracy loss, but current GPU studies show it often doesn’t cut energy use.
-
Can an LLM Predict Crop Disease from Farmer Descriptions?
This piece looks at an LLM for crop diseases and pests: how well a language model can reason about crop problems from a plain-language description alone, with no photo required. A farmer may not describe a crop problem using the language of plant pathology. They may say: “The lower leaves have started turning yellow and…
-
AI in Healthcare: What’s Actually Working
A grounded look at where machine learning is delivering real clinical value today.
