An IA is working on the route
Artificial Intelligence is sometimes working (or not)https://hardware.slashdot.org/story/21/11/29/229210/worlds-first-living-robots-can-now-reproduce-scientists-say robots reproducing: what could possibly go wrong?
https://hardware.slashdot.org/story/21/11/19/2135251/alphabet-puts-prototype-robots-to-work-cleaning-up-googles-offices cleaning robots
https://www.theguardian.com/technology/2021/mar/08/typographic-attack-pen-paper-fool-ai-thinking-apple-ipod-clip
https://yro.slashdot.org/story/19/09/08/1347225/one-of-americas-biggest-markets-for-ai-powered-security-cameras-schools
https://tech.slashdot.org/story/19/04/02/1928231/can-we-stop-ai-outsmarting-humanity
https://tech.slashdot.org/story/19/04/02/1942221/google-employees-are-lining-up-to-trash-googles-ai-ethics-council
https://tech.slashdot.org/story/19/04/02/0347232/researchers-trick-tesla-autopilot-into-steering-into-oncoming-traffic
https://tech.slashdot.org/story/19/03/07/1935238/researchers-are-training-image-generating-ai-with-fewer-labels
https://news.slashdot.org/story/19/03/05/2119250/google-open-sources-gpipe-a-library-for-training-large-deep-neural-networks
https://www.technologyreview.com/s/530276/hidden-obstacles-for-googles-self-driving-cars/
https://tech.slashdot.org/story/19/03/06/2157221/self-driving-cars-may-hit-people-with-darker-skin-more-often-study-finds
https://tech.slashdot.org/story/19/03/05/1711217/volvo-to-test-full-size-driverless-bus-in-singapore
https://tech.slashdot.org/story/19/03/03/0037251/tesla-angers-autonomous-vehicle-experts-by-promising-full-self-driving-model-3
https://news.slashdot.org/story/19/03/04/1811231/thousands-in-london-face-incorrect-benefit-cuts-from-automated-fraud-detector quels sont les risques que cela ne fonctionne pas de manière optimale ?
https://developers.slashdot.org/story/19/02/12/1756206/ibm-says-watson-ai-services-will-now-work-on-any-cloud
https://cdn.technologyreview.com/i/images/timeline-ai-now_1.jpg?sw=2000&cx=0&cy=0&cw=2000&ch=1125 a timeline showing AI controversies (sept 2017 to oct 2018)
https://tech.slashdot.org/story/19/01/05/1928205/linux-for-cars-tesla-isnt-the-only-automaker-running-linux-under-the-hood of course cars will be running Linux
Machine Learning can be challenging
https://tech.slashdot.org/story/19/03/06/172204/google-tool-lets-any-ai-app-learn-without-taking-all-your-datahttps://science.slashdot.org/story/19/02/16/2028229/misleading-results-from-widely-used-machine-learning-data-analysis-techniques wrong or incomplete/biased data leads to bad assumptions/results
https://yro.slashdot.org/story/19/02/16/1936219/report-that-tesla-autopilot-cuts-crashes-by-40-called-bogus interpretation of insuficient data
https://yro.slashdot.org/story/19/02/16/0613252/academics-confirm-major-predictive-policing-algorithm-is-fundamentally-flawed biased data provides biased results
https://tech.slashdot.org/story/19/02/14/199200/this-person-does-not-exist-website-uses-ai-to-create-realistic-yet-horrifying-faces
https://developers.slashdot.org/story/19/02/12/1930210/ubisoft-and-mozilla-announce-ai-coding-assistant-clever-commit
https://slashdot.org/story/19/02/12/145208/ibms-ai-loses-to-a-human-debater deep blue losing when debating
alphago for the game of Go
https://linuxfr.org/users/wilk/journaux/alphago-remporte-le-premier-match-contre-lee-sedolhttp://developers.slashdot.org/story/16/03/13/1346215/gnu-project-introduces-gneural-network-ai-package
http://www.gnu.org/software/gneuralnetwork/ GPL-3+ - written in C
Theano: http://deeplearning.net/software/theano/ BSD - widely used Python deep learning framework: Theano is a Python library that allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays. It is built on top of NumPy_.
Caffe: http://caffe.berkeleyvision.org/ BSD 2-clause - widely used C+ + deep learning framework: Caffe is a deep learning framework made with expression, speed, and modularity in mind Torch: http://torch.ch/ used by Google, AlphaGo and Facebook: Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first. It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation. https://www.tensorflow.org/ Google's large scale machine learning framework.
https://github.com/Microsoft/CNTK Microsoft's deep learning toolkit.
FOSS neural network libraries, such as the ones in Weka or the 13 year old FANN library.
Weka: http://www.cs.waikato.ac.nz/~ml/weka/ GPL-2+ - Java: Waikato Environment for Knowledge Analysis (Weka) is a popular suite of machine learning software written in Java,
- Doc: http://www.cs.waikato.ac.nz/~ml/weka/documentation.html
- Code: http://www.cs.waikato.ac.nz/~ml/weka/downloading.html (at sourceforge :/)
http://www.lorienpratt.com/amazon-announces-machine-learning-for-aws/
https://www.journaldunet.com/solutions/dsi/1487532-ces-ia-offertes-par-les-gafam-en-open-source/ frameworks
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