Topic desk
Models, explainability, measurement and human decisions
17
context-rich bilingual stories
AI & Data
6 minThe score rises when confidence in the most likely known class falls; it is not proof of malice, only a review priority. This guide opens the subject through context, evidence, Bangladesh relevance and practical verification.
AI & Data
5 minRaising a threshold may reduce false alerts while missing real events, so operational cost and harm need an explicit trade-off. This guide opens the subject through context, evidence, Bangladesh relevance and practical verification.
AI & Data
5 minAn explanation reveals one aspect of model behaviour; it is not automatic proof of causal truth, fairness or overall correctness. This guide opens the subject through context, evidence, Bangladesh relevance and practical verification.
AI & Data
5 minGrad-CAM weights convolutional feature maps with class-score gradients to produce a coarse map of influential regions. This guide opens the subject through context, evidence, Bangladesh relevance and practical verification.
AI & Data
5 minWith imbalanced classes, predicting the common class can yield high accuracy; without error types and costs, the number is hollow. This guide opens the subject through context, evidence, Bangladesh relevance and practical verification.
AI & Data
5 minBoth ecosystems support training and deployment; team skill, target hardware, tooling, reproducibility and maintenance should drive the choice. This guide opens the subject through context, evidence, Bangladesh relevance and practical verification.
AI & Data
5 minCapture, colour conversion, resizing, inference, post-processing and display each add latency; throughput is not the same as responsiveness. This guide opens the subject through context, evidence, Bangladesh relevance and practical verification.
AI & Data
5 minDetection locates faces in an image; recognition compares a face with a template or identity, creating much greater stakes when wrong. This guide opens the subject through context, evidence, Bangladesh relevance and practical verification.
AI & Data
5 minFacial movement does not reveal inner emotion with certainty; culture, context, performance and labelling assumptions are major limits. This guide opens the subject through context, evidence, Bangladesh relevance and practical verification.
AI & Data
5 minWho appears in data, how labels were made and which examples are absent pre-edit what a model can learn. This guide opens the subject through context, evidence, Bangladesh relevance and practical verification.
AI & Data
6 minQuantisation and hardware-aware design can improve latency, bandwidth and privacy, while memory, energy and updateability impose limits. This guide opens the subject through context, evidence, Bangladesh relevance and practical verification.
AI & Data
5 minFeatures translate domain knowledge into values a model can learn; leakage, unstable proxies or future information can make validation look falsely strong. This guide opens the subject through context, evidence, Bangladesh relevance and practical verification.
