Vision processing unitA vision processing unit (VPU) is (as of 2023) an emerging class of microprocessor; it is a specific type of AI accelerator, designed to accelerate machine vision tasks. Vision processing units are distinct from video processing units (which are specialised for video encoding and decoding) in their suitability for running machine vision algorithms such as CNN (convolutional neural networks), SIFT (scale-invariant feature transform) and similar.
Robust measures of scaleIn statistics, robust measures of scale are methods that quantify the statistical dispersion in a sample of numerical data while resisting outliers. The most common such robust statistics are the interquartile range (IQR) and the median absolute deviation (MAD). These are contrasted with conventional or non-robust measures of scale, such as sample standard deviation, which are greatly influenced by outliers.
Vote à second tour instantanévignette|upright=1.5|Fonctionnement d'un vote à second tour instantané Le vote à second tour instantané, aussi appelé vote alternatif, est un système électoral par classement utilisé pour choisir un gagnant. Il est notamment utilisé en Australie, à Nauru, en Papouasie-Nouvelle-Guinée et jusqu'en 2014 aux Fidji pour l'élection des membres du parlement, ainsi qu'en Irlande, en Inde et au Sri-Lanka pour l'élection du président. Ce système est notamment utilisé lors de référendums pour départager plusieurs options, par exemple en 2015 en Nouvelle Zélande ou encore en 2018 à Guernesey.
Hyperparameter optimizationIn machine learning, hyperparameter optimization or tuning is the problem of choosing a set of optimal hyperparameters for a learning algorithm. A hyperparameter is a parameter whose value is used to control the learning process. By contrast, the values of other parameters (typically node weights) are learned. The same kind of machine learning model can require different constraints, weights or learning rates to generalize different data patterns.
