Google said this week that its research on a new compression method could reduce the amount of memory required to run large language models by six times. SK Hynix, Samsung and Micron shares fell as ...

If Google’s AI researchers had a sense of humor, they would have called TurboQuant, the new, ultra-efficient AI memory compression algorithm announced Tuesday, “Pied Piper” — or, at least that’s what ...

A comprehensive collection of counterfactual explanation algorithms for time series classification with PyTorch implementations. This library provides state-of-the-art methods for generating and ...

To make the tool more educational, we should display a brief explanation of the algorithm that is currently selected in the dropdown. This helps users understand what they are visualizing. Task: Use ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...

Abstract: For the interpretability of deep neural networks (DNNs) in visual-related tasks, existing explanation methods commonly generate a saliency map based on the linear relation between output ...

If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle the easiest pieces first. But this kind of sorting has a cost.

Abstract: Customer churn prediction is critical for businesses to retain customers and maintain revenue. In this paper, we compare three counterfactual explanation methods: Watcher's Method, Sphere ...