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Episode 2: The impact of machines that "learn" and produce fossandcrafts.org/episodes/2-m

Discussion about recent developments in machine learning and the impact they could have on FOSS, programming in general, art production, and civic society

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New episode of @fossandcrafts out! @mlemweb and I break down some ways we could see machine learning advancements impacting our work, also seen through a historical lens of other automation/technical advancements fossandcrafts.org/episodes/2-m

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AutoCount: Unsupervised Segmentation and Counting of Organs in Field Images. (arXiv:2007.09178v1 [cs.CV]) arxiv.org/abs/2007.09178

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Can we Estimate Truck Accident Risk from Telemetric Data using Machine Learning?. (arXiv:2007.09167v1 [cs.LG]) arxiv.org/abs/2007.09167

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Improving Object Detection with Selective Self-supervised Self-training. (arXiv:2007.09162v1 [cs.CV]) arxiv.org/abs/2007.09162

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Wonderful article by @jakob talking about some of the differences between various lisps (especially lisps), and then exploring them by building a raytracer in each jakob.space/blog/thoughts-on-l

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Privacy Preserving Text Recognition with Gradient-Boosting for Federated Learning. (arXiv:2007.07296v1 [cs.CV]) arxiv.org/abs/2007.07296

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Adversarial learning for product recommendation. (arXiv:2007.07269v1 [cs.IR]) arxiv.org/abs/2007.07269

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Image De-Quantization Using Generative Models as Priors. (arXiv:2007.07923v1 [cs.CV]) arxiv.org/abs/2007.07923

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