===== Service =====

  * https://build.nvidia.com/deepseek-ai/deepseek-r1#
  * https://hn.algolia.com/?&query=ai
  * https://github.com/dtnewman/zev

===== Learn =====

  * https://github.com/BrainJS/brain.js
  * https://youtu.be/M4YsClyTMzg#
  * https://github.com/karpathy/convnetjs# JavaScript
  * https://00f.net/2011/03/10/redis-as-a-recommendation-engine/

  * scikit-learn: learning process (py)
  * and deep learning  neural  network  using  Keras  with  TensorFlow backend
  * http://paulbourke.net/miscellaneous/correlate/
  * https://arxiv.org/pdf/1705.05988.pdf
  * https://arxiv.org/pdf/1708.03854.pdf
  * https://github.com/scampion/multimedia-machine-learning-tutorials
  * https://fr.coursera.org/learn/machine-learning
  * https://gitlab.inria.fr/sed-rennes/formations/deep-learning-intro#
  * https://github.com/adap/flower# FederatedLearning
  * https://fosdem.org/2021/schedule/event/tee_veracruz/#
  * https://news.ycombinator.com/item?id=42137527# TechDept


===== TensorFlow: =====

  * http://playground.tensorflow.org/# NeuraL NetworK
  * https://github.com/tensorflow/tensorflow# LearN
  * https://github.com/astorfi/TensorFlow-World# LearN
  * https://medium.com/towards-data-science/lstm-by-example-using-tensorflow-feb0c1968537#
  * https://sebastianraschka.com/pdf/books/dlb/appendix_g_tensorflow.pdf
  * https://deepdetect.com/# Fr
  * https://01.org/blogs/astojilj/2018/background-removal-tensorflow.js# JavaScript
  * https://towardsdatascience.com/why-machine-learning-on-the-edge-92fac32105e6# McU
  * https://youtu.be/Qt3ZABW5lD0# TensorFlowJs
  * https://morioh.com/p/6fa3b22e60ec?f=5c21fb01c16e2556b555ab32#


===== SOFTWARE =====

  * https://mycroft.ai/
  * https://scikit-learn.org/stable/tutorial/machine_learning_map/index.html
  * https://github.com/tensorflow/tfjs-examples#
  * https://github.com/brainjs/brain.js#readme
  * https://github.com/floe/deepbacksub#
  * https://github.com/copilot-emacs/copilot.el


===== HARDWARE =====

  * https://aiyprojects.withgoogle.com/edge-tpu/# HardWare
  * https://youtu.be/grgNXdkmzzQ# McU StM
  * https://www.st.com/stm32cubeai#
  * https://github.com/araobp/stm32-mcu/tree/master/NUCLEO-F401RE/AI#
  * https://www.st.com/content/st_com/en/stm32-ann.html#


===== TimeSeries =====

  * https://towardsdatascience.com/how-not-to-use-machine-learning-for-time-series-forecasting-avoiding-the-pitfalls-19f9d7adf424# TimeSeries
  * https://machinelearningmastery.com/category/deep-learning-time-series/# LearN
  * https://machinelearningmastery.com/how-to-get-started-with-deep-learning-for-time-series-forecasting-7-day-mini-course/#
  * https://medium.com/open-machine-learning-course/open-machine-learning-course-topic-9-time-series-analysis-in-python-a270cb05e0b3#
  * https://www.influxdata.com/time-series-database/
  * http://druid.io/use-cases# IoT and device metrics
  * https://www.influxdata.com/time-series-platform/#
  * http://opentsdb.net/overview.html
  * https://facebook.github.io/prophet/docs/quick_start.html#r-api
  * https://www.npmjs.com/package/time-series-collection
  * https://www.npmjs.com/package/tensorscript#
  * https://www.npmjs.com/package/uts

===== ETHIC =====

  * https://www.futura-sciences.com/sciences/actualites/aeronautique-voici-ressemblera-combat-aerien-futur-80181/# EthiC
  * https://www.ai4eu.eu/ai4eu-observatory#
  * https://pytorch.org/docs/stable/notes/randomness.html# ReproductibilitY
  * https://www.eetimes.com/nxp-launches-ai-ethics-initiative/# NxP
  * https://thelibre.news/foss-infrastructure-is-under-attack-by-ai-companies/# FlosS
  * https://lucianonooijen.com/blog/why-i-stopped-using-ai-code-editors
  * https://news.ycombinator.com/item?id=43565438


===== Cons =====

  * https://news.ycombinator.com/item?id=43600192#


===== LINKS =====

  * https://botengine.ai/# ServicE
  * http://www.fast.ai/2017/07/28/killer-robots/#
  * http://www.youtube.com/watch?v=P21MQJ5xjnc# ObsoletE
  * https://venturebeat.com/2015/11/14/deep-learning-frameworks/# OpenSource
  * https://devblogs.nvidia.com/parallelforall/malware-detection-neural-networks/# SecuritY
  * http://propelml.org
  * https://gitlab.com/nicolaspanel/TrainingSpeech# VoicE
  * https://en.wikipedia.org/wiki/CIFAR-10
  * https://github.com/snipsco/snips-nlu#
  * https://www.sigdial.org/files/workshops/conference18/proceedings/pdf/SIGDIAL22.pdf
  * https://labs.ovh.com/machine-learning-platform# ClouD
  * https://www.youtube.com/watch?v=p1b5aiTrGzY# VideO
  * https://community.ibm.com/community/user/datascience/blogs/christina-howell/2020/02/25/nathalie-baracaldo-ibm-research-ai-a# FederatedLearning
  * https://community.ibm.com/community/user/datascience/blogs/nathalie-baracaldo1/2020/01/03/federated-learning-part-2#
  * https://deepmind.com/learning-resources/-introduction-reinforcement-learning-david-silver# LearN
  * https://www.economist.com/technology-quarterly/2020/06/11/an-understanding-of-ais-limitations-is-starting-to-sink-in# PredictioN
  * https://openai.com/blog/dall-e/# SearcH
  * https://trac.wildfiregames.com/wiki/GettingStartedReinforcementLearning#
  * https://voice2json.org/
  * https://github.com/jomjol/AI-on-the-edge-device#
  * https://www.schneier.com/academic/archives/2021/04/the-coming-ai-hackers.html AIs Hacking UsIn 2016, The Georgia Institute of Technology published a research study on human trust in robots.14
  * https://delve.a9.io/
  * https://aider.chat/# AgenT
  * https://limitesnumeriques.fr/travaux-productions/ai-forcing#
  * https://cartography-of-generative-ai.net/
  * https://savethe.ai/about/


===== MORE =====

@TaG: MathS

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