A new update for Age of Empires II: Definitive Edition brings new achievements to the game, which arrives on Xbox consoles today!
Can I be Frank with You?Win any Medal in any Art of War Challenge.Win a Skirmish or Multiplayer Game with a Human or AI Teammate.Create a Trade Route with another Market.Will you be returning to Age of Empires II: Definitive Edition for these new achievements? Let us know down in the comments!.
Can I be Frank with You?Win any Medal in any Art of War Challenge.Win a Skirmish or Multiplayer Game with a Human or AI Teammate.Create a Trade Route with another Market.Will you be returning to Age of Empires II: Definitive Edition for these new achievements? Let us know down in the comments!South Africa Latest News, South Africa Headlines
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Using transfer learning and dimensionality reduction techniques to improve generalisability of machine-learning predictions of mosquito ages from mid-infrared spectra - BMC BioinformaticsBackground Old mosquitoes are more likely to transmit malaria than young ones. Therefore, accurate prediction of mosquito population age can drastically improve the evaluation of mosquito-targeted interventions. However, standard methods for age-grading mosquitoes are laborious and costly. We have shown that Mid-infrared spectroscopy (MIRS) can be used to detect age-specific patterns in mosquito cuticles and thus can be used to train age-grading machine learning models. However, these models tend to transfer poorly across populations. Here, we investigate whether applying dimensionality reduction and transfer learning to MIRS data can improve the transferability of MIRS-based predictions for mosquito ages. Methods We reared adults of the malaria vector Anopheles arabiensis in two insectaries. The heads and thoraces of female mosquitoes were scanned using an attenuated total reflection-Fourier transform infrared spectrometer, which were grouped into two different age classes. The dimensionality of the spectra data was reduced using unsupervised principal component analysis or t-distributed stochastic neighbour embedding, and then used to train deep learning and standard machine learning classifiers. Transfer learning was also evaluated to improve transferability of the models when predicting mosquito age classes from new populations. Results Model accuracies for predicting the age of mosquitoes from the same population as the training samples reached 99% for deep learning and 92% for standard machine learning. However, these models did not generalise to a different population, achieving only 46% and 48% accuracy for deep learning and standard machine learning, respectively. Dimensionality reduction did not improve model generalizability but reduced computational time. Transfer learning by updating pre-trained models with 2% of mosquitoes from the alternate population improved performance to ~ 98% accuracy for predicting mosquito age classes in the alternative populat
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Sam Smith's 'raunchy' new music video sparks debate over age restrictions following releaseSam Smith has sparked a fierce online debate over music video age restrictions after the release of their new single, I'm Not Here To Make Friends, divided the internet.
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