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Epigenetic clocks are important tools in modern aging research. Typically, they use characteristic DNA methylation patterns ...
One of the major challenges facing businesses using AI is understanding exactly how these models make decisions. Traditionally, AI has been treated like a black box: Inputs go in, outputs come out, ...
The field of interpretability investigates what machine learning (ML) models are learning from training datasets, the causes and effects of changes within a model, and the justifications behind its ...
This talk will attempt to demystify, for a non-technical audience, the current state of neural network explainability and interpretability, as well as trace the boundaries of what is in principle ...
Neural networks are famously incomprehensible — a computer can come up with a good answer, but not be able to explain what led to the conclusion. Been Kim is developing a “translator for humans” so ...
Large language models can write essays, solve math problems, and generate computer code, but it’s not fully understood how ...