Difference between revisions of "Links"
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− | + | == Artificial Cognitive Systems == | |
[[Artificial Cognitive Systems]] (a separate list of links) | [[Artificial Cognitive Systems]] (a separate list of links) | ||
− | + | == Artificial Intelligence == | |
− | + | === Origins === | |
[https://ojs.aaai.org//index.php/aimagazine/article/view/1904 A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence, August 31, 1955] <BR> | [https://ojs.aaai.org//index.php/aimagazine/article/view/1904 A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence, August 31, 1955] <BR> | ||
[https://ojs.aaai.org//index.php/aimagazine/article/view/950 Foundations and Grand Challenges of Artificial Intelligence: AAAI Presidential Address] Raj Reddy (1988) <BR> | [https://ojs.aaai.org//index.php/aimagazine/article/view/950 Foundations and Grand Challenges of Artificial Intelligence: AAAI Presidential Address] Raj Reddy (1988) <BR> | ||
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[[File:new.jpg]] [https://rintintin.colorado.edu/~vancecd/phil201/Searle.pdf The Chinese Room]<BR> | [[File:new.jpg]] [https://rintintin.colorado.edu/~vancecd/phil201/Searle.pdf The Chinese Room]<BR> | ||
− | + | === AI in Society === | |
[https://www.ai-fora.de/about/ AI FORA - AI for Assessment] <BR> | [https://www.ai-fora.de/about/ AI FORA - AI for Assessment] <BR> | ||
[https://ai4good.org/ AI for Good Foundation]<BR> | [https://ai4good.org/ AI for Good Foundation]<BR> | ||
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[https://ec.europa.eu/info/sites/info/files/commission-white-paper-artificial-intelligence-feb2020_en.pdf White Paper on Artificial Intelligence] from the European Commission <BR> | [https://ec.europa.eu/info/sites/info/files/commission-white-paper-artificial-intelligence-feb2020_en.pdf White Paper on Artificial Intelligence] from the European Commission <BR> | ||
− | + | === AI in Business === | |
[https://landing.ai/resources/ai-transformation-playbook/ AI Transformation Playbook] <BR> | [https://landing.ai/resources/ai-transformation-playbook/ AI Transformation Playbook] <BR> | ||
[https://hbr.org/2018/01/artificial-intelligence-for-the-real-world Artificial Intelligence for the Real World] A Harvard Business Review perspective on using artificial cognitive capabilities in business<BR> | [https://hbr.org/2018/01/artificial-intelligence-for-the-real-world Artificial Intelligence for the Real World] A Harvard Business Review perspective on using artificial cognitive capabilities in business<BR> | ||
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[https://www.pwc.com/gx/en/issues/analytics/assets/pwc-ai-analysis-sizing-the-prize-report.pdf Sizing the prize What's the real value of AI for your business and how can you capitalise?] PWC report <BR> | [https://www.pwc.com/gx/en/issues/analytics/assets/pwc-ai-analysis-sizing-the-prize-report.pdf Sizing the prize What's the real value of AI for your business and how can you capitalise?] PWC report <BR> | ||
− | + | === AI Education === | |
[https://ai-4-all.org/ AI4ALL]<BR> | [https://ai-4-all.org/ AI4ALL]<BR> | ||
[http://AI4K12.org AI4K12]<BR> | [http://AI4K12.org AI4K12]<BR> | ||
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[https://wiki.pathmind.com/ The Artificial Intelligence Wiki] A Beginner’s Guide to Important Topics in AI, Machine Learning, and Deep Learning. <BR> | [https://wiki.pathmind.com/ The Artificial Intelligence Wiki] A Beginner’s Guide to Important Topics in AI, Machine Learning, and Deep Learning. <BR> | ||
− | + | === Evolution of AI === | |
[https://www.muhai.org/blog/12-artificial-intelligence/12-ai-at-a-crossroads AI at a Crossroads]<BR> | [https://www.muhai.org/blog/12-artificial-intelligence/12-ai-at-a-crossroads AI at a Crossroads]<BR> | ||
[https://www.andrew.cmu.edu/user/ganeshm/GrandChallengesAIMagazineSpring2021.pdf Artificial Intelligence’s Grand Challenges: Past, Present, and Future] Ganesh Mani (2021). <BR> | [https://www.andrew.cmu.edu/user/ganeshm/GrandChallengesAIMagazineSpring2021.pdf Artificial Intelligence’s Grand Challenges: Past, Present, and Future] Ganesh Mani (2021). <BR> | ||
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[https://arxiv.org/pdf/2012.08630.pdf Cooperative AI] Open Problems <BR> | [https://arxiv.org/pdf/2012.08630.pdf Cooperative AI] Open Problems <BR> | ||
− | + | === Limitations of AI === | |
[https://www.theguardian.com/technology/2021/jun/06/microsofts-kate-crawford-ai-is-neither-artificial-nor-intelligent "AI is neither artificial nor intelligent"] Interview with Kate Crawford, author of [https://yalebooks.yale.edu/book/9780300209570/atlas-ai Atlas of AI] <BR> | [https://www.theguardian.com/technology/2021/jun/06/microsofts-kate-crawford-ai-is-neither-artificial-nor-intelligent "AI is neither artificial nor intelligent"] Interview with Kate Crawford, author of [https://yalebooks.yale.edu/book/9780300209570/atlas-ai Atlas of AI] <BR> | ||
[https://www.newyorker.com/tech/annals-of-technology/can-computers-learn-common-sense Can computers learn common sense?] <BR> | [https://www.newyorker.com/tech/annals-of-technology/can-computers-learn-common-sense Can computers learn common sense?] <BR> | ||
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[[File:new.jpg]] [https://www.lesswrong.com/posts/uKp6tBFStnsvrot5t/what-dall-e-2-can-and-cannot-do What DALL-E 2 can and cannot do] by LessWrong. Notice in the first image the physical implausibility of the mannequin fingers morphing into folds in the dress. | [[File:new.jpg]] [https://www.lesswrong.com/posts/uKp6tBFStnsvrot5t/what-dall-e-2-can-and-cannot-do What DALL-E 2 can and cannot do] by LessWrong. Notice in the first image the physical implausibility of the mannequin fingers morphing into folds in the dress. | ||
− | + | === Ethics in AI === | |
[https://www.ajl.org/ Algorithmic Justice League] <BR> | [https://www.ajl.org/ Algorithmic Justice League] <BR> | ||
[https://ec.europa.eu/digital-single-market/en/news/assessment-list-trustworthy-artificial-intelligence-altai-self-assessment Assessment List for Trustworthy Artificial Intelligence for self-assessment]<BR> | [https://ec.europa.eu/digital-single-market/en/news/assessment-list-trustworthy-artificial-intelligence-altai-self-assessment Assessment List for Trustworthy Artificial Intelligence for self-assessment]<BR> | ||
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[https://clawar.org/conference-proceedings/icres-conference/ International Conference on Robot Ethics and Standards ICRES]<BR> | [https://clawar.org/conference-proceedings/icres-conference/ International Conference on Robot Ethics and Standards ICRES]<BR> | ||
− | + | === AI Applications and Resources === | |
[https://colab.research.google.com/?utm_source=scs-index Colab] from Google <BR> | [https://colab.research.google.com/?utm_source=scs-index Colab] from Google <BR> | ||
[https://openai.com/dall-e-2/ DALL·E 2] Text to image conversion using deep neural networks <BR> | [https://openai.com/dall-e-2/ DALL·E 2] Text to image conversion using deep neural networks <BR> | ||
[https://cacm.acm.org/magazines/2021/12/256930-digital-agriculture-for-small-scale-producers/fulltext Digital Agriculture for Small-Scale Producers: Challenges and Opportunities] CACM (2021) <BR> | [https://cacm.acm.org/magazines/2021/12/256930-digital-agriculture-for-small-scale-producers/fulltext Digital Agriculture for Small-Scale Producers: Challenges and Opportunities] CACM (2021) <BR> | ||
− | + | === AI Science and Technology === | |
[http://agisi.org/Defs_intelligence.html Definitions of Artificial and Human Intelligence]<BR> | [http://agisi.org/Defs_intelligence.html Definitions of Artificial and Human Intelligence]<BR> | ||
[https://researcher.watson.ibm.com/researcher/view_group.php?id=10897 IBM Neuro-Symbolic AI Workshop 2022] <BR> | [https://researcher.watson.ibm.com/researcher/view_group.php?id=10897 IBM Neuro-Symbolic AI Workshop 2022] <BR> | ||
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[https://medium.com/syncedreview/yann-lecun-cake-analogy-2-0-a361da560dae Yann LeCun Cake Analogy 2.0] <BR> | [https://medium.com/syncedreview/yann-lecun-cake-analogy-2-0-a361da560dae Yann LeCun Cake Analogy 2.0] <BR> | ||
− | + | == Cognitive Robotics == | |
[[Cognitive Robotics Resources]] (list of links) | [[Cognitive Robotics Resources]] (list of links) | ||
− | + | == Computer Vision == | |
[https://www.youtube.com/watch?v=1F5ICP9SYLU 2-Dimensional Motion Perception] in humans; seminal video from the 1970s. <BR> | [https://www.youtube.com/watch?v=1F5ICP9SYLU 2-Dimensional Motion Perception] in humans; seminal video from the 1970s. <BR> | ||
[http://cs231n.github.io/ Andrej Karpathy's course CS231n Convolutional Neural Networks for Visual Recognition] <BR> | [http://cs231n.github.io/ Andrej Karpathy's course CS231n Convolutional Neural Networks for Visual Recognition] <BR> | ||
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[https://pjreddie.com/darknet/yolo/ YOLO: Real-Time Object Detection] <BR> | [https://pjreddie.com/darknet/yolo/ YOLO: Real-Time Object Detection] <BR> | ||
− | + | == Control == | |
[https://en.wikipedia.org/wiki/PID_controller PID control] | [https://en.wikipedia.org/wiki/PID_controller PID control] | ||
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[https://softwareengineering.stackexchange.com/questions/214912/why-does-a-proportional-controller-have-a-steady-state-error Why does a proportional controller have a steady state error] | [https://softwareengineering.stackexchange.com/questions/214912/why-does-a-proportional-controller-have-a-steady-state-error Why does a proportional controller have a steady state error] | ||
− | + | == Copyright == | |
[[File:new.jpg]] [https://library.cmu.edu/services/copyright Copyright & Fair Use] Carnegie Mellon University Africa <BR> | [[File:new.jpg]] [https://library.cmu.edu/services/copyright Copyright & Fair Use] Carnegie Mellon University Africa <BR> | ||
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[[File:new.jpg]] [https://fairuse.stanford.edu/overview/academic-and-educational-permissions/non-coursepack/ Educational Uses of Non-coursepack Materials] Stanford University | [[File:new.jpg]] [https://fairuse.stanford.edu/overview/academic-and-educational-permissions/non-coursepack/ Educational Uses of Non-coursepack Materials] Stanford University | ||
− | + | == Cybernetics and System Dynamics == | |
[https://www.cadmusjournal.org/files/pdfreprints/vol2issue1/reprint-cj-v2-i1-complex-vs-complicated-systems-rpoli.pdf Complicated vs. Complex] A Note on the Difference Between Complicated and Complex Social Systems by Roberto Poli <BR> | [https://www.cadmusjournal.org/files/pdfreprints/vol2issue1/reprint-cj-v2-i1-complex-vs-complicated-systems-rpoli.pdf Complicated vs. Complex] A Note on the Difference Between Complicated and Complex Social Systems by Roberto Poli <BR> | ||
[https://davidwolpert.weebly.com/ David Wolpert's website]<BR> | [https://davidwolpert.weebly.com/ David Wolpert's website]<BR> | ||
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[http://www.rossashby.info/index.html W. Ross Ashby Digital Archive] <BR> | [http://www.rossashby.info/index.html W. Ross Ashby Digital Archive] <BR> | ||
− | + | == Cycling == | |
− | + | === Articles === | |
[https://www.cyclingabout.com/ Cycling About] with great articles <BR> | [https://www.cyclingabout.com/ Cycling About] with great articles <BR> | ||
[http://www.velominati.com/the-rules/ The Rules] <BR> | [http://www.velominati.com/the-rules/ The Rules] <BR> | ||
− | + | === Bikes === | |
[http://www.enigmabikes.com/ Enigma Bicycle Works] <BR> | [http://www.enigmabikes.com/ Enigma Bicycle Works] <BR> | ||
[https://www.storck-bikes.com/en Storck Bikes] <BR> | [https://www.storck-bikes.com/en Storck Bikes] <BR> | ||
− | + | === Bike Maintenance === | |
[https://www.youtube.com/watch?v=YDk9sp5xRkA Crank & Bearing Removal and Installation - Campagnolo® Ultra-Torque™]<BR> | [https://www.youtube.com/watch?v=YDk9sp5xRkA Crank & Bearing Removal and Installation - Campagnolo® Ultra-Torque™]<BR> | ||
[https://www.bikeradar.com/advice/buyers-guides/the-complete-guide-to-bottom-bracket-standards/ The complete guide to bottom bracket standards] <BR> | [https://www.bikeradar.com/advice/buyers-guides/the-complete-guide-to-bottom-bracket-standards/ The complete guide to bottom bracket standards] <BR> | ||
− | + | === Equipment and Kit === | |
[http://forum.ctc.org.uk/viewtopic.php?f=5&t=62500 Sturmey Archer S2C Duomatic] <BR> | [http://forum.ctc.org.uk/viewtopic.php?f=5&t=62500 Sturmey Archer S2C Duomatic] <BR> | ||
[http://www.musguard.com/#shop Musguard] <BR> | [http://www.musguard.com/#shop Musguard] <BR> | ||
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[[File:new.jpg]] [https://www.dcrainmaker.com/2019/08/how-to-install-free-maps-on-your-garmin-edge.html How to install OpenStreetMap on your Garmin] <BR> | [[File:new.jpg]] [https://www.dcrainmaker.com/2019/08/how-to-install-free-maps-on-your-garmin-edge.html How to install OpenStreetMap on your Garmin] <BR> | ||
− | + | === Events and Routes === | |
[https://outsider.ie/challenges/road-cycling-events-ireland/ 11 of the best cycling challenges in Ireland]<BR> | [https://outsider.ie/challenges/road-cycling-events-ireland/ 11 of the best cycling challenges in Ireland]<BR> | ||
[http://bit.ly/18aojnb Biking in Rwanda - Downloads and Interactive Maps] by Kaspar Kundert<BR> | [http://bit.ly/18aojnb Biking in Rwanda - Downloads and Interactive Maps] by Kaspar Kundert<BR> | ||
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[http://vatternrundan.se/ Vätternrundan in Sweden]<BR> | [http://vatternrundan.se/ Vätternrundan in Sweden]<BR> | ||
− | + | === Guides and Rentals === | |
[http://www.corkbikerental.com/best-touring-bike-rentals-in-cork-ireland.php Cork Bike Rental] Ireland <BR> | [http://www.corkbikerental.com/best-touring-bike-rentals-in-cork-ireland.php Cork Bike Rental] Ireland <BR> | ||
[[File:new.jpg]] [https://luccacyclingclub.com/ Lucca Cycling Club] Italy <BR> | [[File:new.jpg]] [https://luccacyclingclub.com/ Lucca Cycling Club] Italy <BR> | ||
− | + | === Nutrition === | |
[http://www.mendosa.com/gilistold.htm Glycemic Index Lists] <BR> | [http://www.mendosa.com/gilistold.htm Glycemic Index Lists] <BR> | ||
[https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3905295/ Regulation of Muscle Glycogen Repletion, Muscle Protein Synthesis and Repair Following Exercise] <BR> | [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3905295/ Regulation of Muscle Glycogen Repletion, Muscle Protein Synthesis and Repair Following Exercise] <BR> | ||
− | + | === Organizations === | |
[http://www.randonneurs.se/ Randonneurs Sverige] <BR> | [http://www.randonneurs.se/ Randonneurs Sverige] <BR> | ||
− | + | == Engineering Education == | |
[https://wholenewengineer.org/ A Whole New Engineer]: a different way to approach effective teaching and learning (watch the video) <BR> | [https://wholenewengineer.org/ A Whole New Engineer]: a different way to approach effective teaching and learning (watch the video) <BR> | ||
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[https://revisionesg.wordpress.com/ Standards and Guidelines for Quality Assurance in the European Higher Education Area] <BR> | [https://revisionesg.wordpress.com/ Standards and Guidelines for Quality Assurance in the European Higher Education Area] <BR> | ||
− | + | == Engineering Mathematics == | |
[[File:new.jpg]] [https://linearalgebras.com/ten-best-linear-algebra-books.html The ten best linear algebra books] | [[File:new.jpg]] [https://linearalgebras.com/ten-best-linear-algebra-books.html The ten best linear algebra books] | ||
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[http://tumic.wz.cz/fel/online/libICA/ FastICA C Implementation] | [http://tumic.wz.cz/fel/online/libICA/ FastICA C Implementation] | ||
− | + | == Emergence and Self-Organization == | |
[http://emergentpublications.com/ECO/about_eco.aspx Emergence: Complexity & Organization - An International Transdisciplinary Journal of Complex Social Systems] <BR> | [http://emergentpublications.com/ECO/about_eco.aspx Emergence: Complexity & Organization - An International Transdisciplinary Journal of Complex Social Systems] <BR> | ||
[https://www.quantamagazine.org/20151119-life-is-information-adami/ The Information Theory of Life] | [https://www.quantamagazine.org/20151119-life-is-information-adami/ The Information Theory of Life] | ||
− | + | == Fountain Pens == | |
[http://www.parker51.com The Parker 51] | [http://www.parker51.com The Parker 51] | ||
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[http://www.penhero.com/PenGallery/Sheaffer/SheafferInlaidNibs.htm The Evolution of the Sheaffer Inlaid Nib 1959-Present] | [http://www.penhero.com/PenGallery/Sheaffer/SheafferInlaidNibs.htm The Evolution of the Sheaffer Inlaid Nib 1959-Present] | ||
− | + | == Graphs and Networks == | |
[[File:New.jpg]] [http://networksciencebook.com/ Network Science] by Albert-Laszalo Barabasi <BR> | [[File:New.jpg]] [http://networksciencebook.com/ Network Science] by Albert-Laszalo Barabasi <BR> | ||
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[http://www.graphviz.org/ GraphViz graph visualization] | [http://www.graphviz.org/ GraphViz graph visualization] | ||
− | + | == Helping People in Need == | |
[https://mindleaps.org/ MindLeaps] | [https://mindleaps.org/ MindLeaps] | ||
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[http://www.vernon.eu/AfricanGLOTour2018.htm The GLO Africa Tour 2018] | [http://www.vernon.eu/AfricanGLOTour2018.htm The GLO Africa Tour 2018] | ||
− | + | == History of Technology == | |
[http://files.righto.com/calculator/sinclair_scientific_simulator.html Reverse Engineering Sinclair's amazing 1974 calculator] | [http://files.righto.com/calculator/sinclair_scientific_simulator.html Reverse Engineering Sinclair's amazing 1974 calculator] | ||
− | + | == Innovation and Entrepreneurship == | |
[http://eit.europa.eu/ European Institute of Innovation and Technology (EIT)] | [http://eit.europa.eu/ European Institute of Innovation and Technology (EIT)] | ||
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[http://ec.europa.eu/education/library/study/2013/eit-kics_en.pdf EIT Knowledge and Innovation Communities (KIC) Educational Activities Final Report] | [http://ec.europa.eu/education/library/study/2013/eit-kics_en.pdf EIT Knowledge and Innovation Communities (KIC) Educational Activities Final Report] | ||
− | + | == Languages: Irish and Swedish == | |
[https://www.futurelearn.com/courses/irish-language Irish 101: An Introduction to Irish Language and Culture] | [https://www.futurelearn.com/courses/irish-language Irish 101: An Introduction to Irish Language and Culture] | ||
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<BR> | <BR> | ||
[https://www.duolingo.com/course/sv/en/Learn-Swedish-Online DuoLingo] | [https://www.duolingo.com/course/sv/en/Learn-Swedish-Online DuoLingo] | ||
− | + | ||
+ | == LaTeX == | ||
[https://www.latex-project.org/get/ Get LaTeX here]<BR> | [https://www.latex-project.org/get/ Get LaTeX here]<BR> | ||
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[[File:New.jpg]] [http://users.ece.utexas.edu/~garg/dist/listings.pdf The Listings Package] | [[File:New.jpg]] [http://users.ece.utexas.edu/~garg/dist/listings.pdf The Listings Package] | ||
− | + | == Lisp == | |
[http://www.cs.cmu.edu/afs/cs.cmu.edu/user/dst/www/LispBook/index.html Common Lisp: A Gentle Introduction to Symbolic Computation] by David Touretzky | [http://www.cs.cmu.edu/afs/cs.cmu.edu/user/dst/www/LispBook/index.html Common Lisp: A Gentle Introduction to Symbolic Computation] by David Touretzky | ||
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[[File:new.jpg]] [https://bnmcgn.github.io/lisp-guide/lisp-exploration.html Common Lisp REPL Exploration Guide] | [[File:new.jpg]] [https://bnmcgn.github.io/lisp-guide/lisp-exploration.html Common Lisp REPL Exploration Guide] | ||
− | + | == Mac == | |
+ | |||
[https://www.macworld.co.uk/how-to/drive-not-showing-mac-3613422/ How to troubleshoot an external drive] | [https://www.macworld.co.uk/how-to/drive-not-showing-mac-3613422/ How to troubleshoot an external drive] | ||
<br> | <br> | ||
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[https://candid.technology/photoanalysisd/ Disable photoanalysisd] | [https://candid.technology/photoanalysisd/ Disable photoanalysisd] | ||
− | + | == Machine Learning == | |
− | + | === Bayesian Approaches === | |
[https://machinelearningmastery.com/introduction-to-bayesian-belief-networks/ A Gentle Introduction to Bayesian Belief Networks] <BR> | [https://machinelearningmastery.com/introduction-to-bayesian-belief-networks/ A Gentle Introduction to Bayesian Belief Networks] <BR> | ||
− | + | === Books and Resources === | |
[https://acems.org.au/data-science-machine-learning-book-download Data Science and Machine Learning]; free book to download <BR> | [https://acems.org.au/data-science-machine-learning-book-download Data Science and Machine Learning]; free book to download <BR> | ||
[http://www.deeplearningbook.org/ Deep Learning] by Ian Goodfellow, Yoshua Bengio, and Aaron Courville <BR> | [http://www.deeplearningbook.org/ Deep Learning] by Ian Goodfellow, Yoshua Bengio, and Aaron Courville <BR> | ||
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[https://www.pyimagesearch.com/deep-learning-computer-vision-python-book/ Deep Learning for Computer Vision with Python]; great book and software, including a fully-configured virtual machine. <BR> | [https://www.pyimagesearch.com/deep-learning-computer-vision-python-book/ Deep Learning for Computer Vision with Python]; great book and software, including a fully-configured virtual machine. <BR> | ||
− | + | === Comparisons === | |
[[File:new.jpg]] [https://scikit-learn.org/stable/auto_examples/classification/plot_classifier_comparison.html Classifier Comparison] with instructive visualization <BR> | [[File:new.jpg]] [https://scikit-learn.org/stable/auto_examples/classification/plot_classifier_comparison.html Classifier Comparison] with instructive visualization <BR> | ||
[[File:new.jpg]] [https://www.wired.com/video/watch/5-levels-machine-learning Computer Scientist Explains Machine Learning in 5 Levels of Difficulty] <BR> | [[File:new.jpg]] [https://www.wired.com/video/watch/5-levels-machine-learning Computer Scientist Explains Machine Learning in 5 Levels of Difficulty] <BR> | ||
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[https://www.asimovinstitute.org/neural-network-zoo-prequel-cells-layers/ Neural Network Zoo Prequel: Cells and Layers] with more detail on how each cell type works <BR> | [https://www.asimovinstitute.org/neural-network-zoo-prequel-cells-layers/ Neural Network Zoo Prequel: Cells and Layers] with more detail on how each cell type works <BR> | ||
− | + | === Datasets === | |
[https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge/data Kaggle Facial Expression Recognition dataset FER13] <BR> | [https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge/data Kaggle Facial Expression Recognition dataset FER13] <BR> | ||
− | + | === Deep Learning === | |
[https://machinelearningmastery.com/what-is-deep-learning/ Deep Learning] overview <BR> | [https://machinelearningmastery.com/what-is-deep-learning/ Deep Learning] overview <BR> | ||
[http://neuralnetworksanddeeplearning.com/ Neural Networks and Deep Learning] <BR> | [http://neuralnetworksanddeeplearning.com/ Neural Networks and Deep Learning] <BR> | ||
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[http://yann.lecun.com/exdb/publis/pdf/lecun-98.pdf The original paper on the CNN] by Yann LeCun, Leon Bottio, Yoshua Bengio, and Patrick Haffner <BR> | [http://yann.lecun.com/exdb/publis/pdf/lecun-98.pdf The original paper on the CNN] by Yann LeCun, Leon Bottio, Yoshua Bengio, and Patrick Haffner <BR> | ||
− | + | === Environments === | |
[https://colab.research.google.com/?utm_source=scs-index Colab] from Google <BR> | [https://colab.research.google.com/?utm_source=scs-index Colab] from Google <BR> | ||
[https://developer.ibm.com/tutorials/iot-deep-learning-anomaly-detection-5/ Using Keras and TensorFlow for Anomaly Detection] (including the use of LSTM)<BR> | [https://developer.ibm.com/tutorials/iot-deep-learning-anomaly-detection-5/ Using Keras and TensorFlow for Anomaly Detection] (including the use of LSTM)<BR> | ||
− | + | === Ethical Issues === | |
[https://www.theguardian.com/technology/2018/nov/12/deep-fakes-fake-news-truth Deep fakes: one element of the dark side of AI and ML] <BR> | [https://www.theguardian.com/technology/2018/nov/12/deep-fakes-fake-news-truth Deep fakes: one element of the dark side of AI and ML] <BR> | ||
[https://www.theguardian.com/technology/ng-interactive/2019/jun/22/the-rise-of-the-deepfake-and-the-threat-to-democracy The rise of the deepfake and the threat to democracy]<BR> | [https://www.theguardian.com/technology/ng-interactive/2019/jun/22/the-rise-of-the-deepfake-and-the-threat-to-democracy The rise of the deepfake and the threat to democracy]<BR> | ||
[https://www.gwern.net/Tanks#should-we-tell-stories-we-know-arent-true The Tank Story] <BR> | [https://www.gwern.net/Tanks#should-we-tell-stories-we-know-arent-true The Tank Story] <BR> | ||
− | + | === Gaussian Processes === | |
[[File:new.jpg]] [https://distill.pub/2019/visual-exploration-gaussian-processes/ Gaussian processes] - Visual exploration of Gaussian processes<BR> | [[File:new.jpg]] [https://distill.pub/2019/visual-exploration-gaussian-processes/ Gaussian processes] - Visual exploration of Gaussian processes<BR> | ||
[[File:new.jpg]] [http://www.infinitecuriosity.org/vizgp/ Gaussian processes] - Interactive Gaussian process visualization <BR> | [[File:new.jpg]] [http://www.infinitecuriosity.org/vizgp/ Gaussian processes] - Interactive Gaussian process visualization <BR> | ||
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[[File:new.jpg]] [https://www.youtube.com/watch?v=4vGiHC35j9s Gaussian processes] - Introduction to Gaussian Processes Video Lecture (Nando de Freitas, 2013) <BR> | [[File:new.jpg]] [https://www.youtube.com/watch?v=4vGiHC35j9s Gaussian processes] - Introduction to Gaussian Processes Video Lecture (Nando de Freitas, 2013) <BR> | ||
− | + | === Generative Adversarial Networks === | |
[https://medium.com/@jonathan_hui/gan-gan-series-2d279f906e7b GAN Series]; comprehensive overview of Generative Adversarial Networks<BR> | [https://medium.com/@jonathan_hui/gan-gan-series-2d279f906e7b GAN Series]; comprehensive overview of Generative Adversarial Networks<BR> | ||
− | + | === Large Language Models === | |
[https://www.theguardian.com/commentisfree/2020/sep/08/robot-wrote-this-article-gpt-3 A robot wrote this entire article. Are you scared yet, human?] GPT-3 <BR> | [https://www.theguardian.com/commentisfree/2020/sep/08/robot-wrote-this-article-gpt-3 A robot wrote this entire article. Are you scared yet, human?] GPT-3 <BR> | ||
[https://www.theguardian.com/technology/2022/jun/15/techscape-google-chatbot-lamda-sentient-artificial-intelligence TechScape: why you shouldn’t worry about sentient AI … yet] <BR> | [https://www.theguardian.com/technology/2022/jun/15/techscape-google-chatbot-lamda-sentient-artificial-intelligence TechScape: why you shouldn’t worry about sentient AI … yet] <BR> | ||
− | + | === Recurrent Neural Networks === | |
[https://towardsdatascience.com/illustrated-guide-to-lstms-and-gru-s-a-step-by-step-explanation-44e9eb85bf21 Illustrated guide to LSTMs and GRUs: a step by step explanation]<BR> | [https://towardsdatascience.com/illustrated-guide-to-lstms-and-gru-s-a-step-by-step-explanation-44e9eb85bf21 Illustrated guide to LSTMs and GRUs: a step by step explanation]<BR> | ||
[https://developer.ibm.com/tutorials/iot-deep-learning-anomaly-detection-1/ Introducing Deep Learning and Long Short-Term Memory Networks]<BR> | [https://developer.ibm.com/tutorials/iot-deep-learning-anomaly-detection-1/ Introducing Deep Learning and Long Short-Term Memory Networks]<BR> | ||
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[http://colah.github.io/posts/2015-08-Understanding-LSTMs/ Understanding LSTMs]<BR> | [http://colah.github.io/posts/2015-08-Understanding-LSTMs/ Understanding LSTMs]<BR> | ||
− | + | === Reinforcement Learning === | |
[https://lilianweng.github.io/posts/2018-02-19-rl-overview/ A (Long) Peek into Reinforcement Learning] <BR> | [https://lilianweng.github.io/posts/2018-02-19-rl-overview/ A (Long) Peek into Reinforcement Learning] <BR> | ||
[https://bair.berkeley.edu/blog/2017/09/12/learning-to-optimize-with-rl/ Learning to Optimize with Reinforcement Learning] and learning to learn <BR> | [https://bair.berkeley.edu/blog/2017/09/12/learning-to-optimize-with-rl/ Learning to Optimize with Reinforcement Learning] and learning to learn <BR> | ||
[https://arxiv.org/abs/1606.01885 Learning to Optimize] <BR> | [https://arxiv.org/abs/1606.01885 Learning to Optimize] <BR> | ||
− | + | === Self-Supervised Learning === | |
[https://project.inria.fr/paiss/files/2018/07/zisserman-self-supervised.pdf Self-supervised Learning] Andrew Zisserman <BR> | [https://project.inria.fr/paiss/files/2018/07/zisserman-self-supervised.pdf Self-supervised Learning] Andrew Zisserman <BR> | ||
[https://medium.com/syncedreview/yann-lecun-cake-analogy-2-0-a361da560dae Yann LeCun Cake Analogy 2.0]; the slides from his ISCC talk are | [https://medium.com/syncedreview/yann-lecun-cake-analogy-2-0-a361da560dae Yann LeCun Cake Analogy 2.0]; the slides from his ISCC talk are | ||
[https://twitter.com/ylecun/status/1097532314614034433 here] and the video of the talk is [http://isscc.org/2019-videos/ here]<BR> | [https://twitter.com/ylecun/status/1097532314614034433 here] and the video of the talk is [http://isscc.org/2019-videos/ here]<BR> | ||
− | + | === Transformers === | |
[[File:new.jpg]] [https://www.ai4europe.eu/research/research-bundles/multimodal-perception-and-interaction-transformers Multimodal Perception and Interaction with Transformers] HumanE-AI-Net Micro Project <BR> | [[File:new.jpg]] [https://www.ai4europe.eu/research/research-bundles/multimodal-perception-and-interaction-transformers Multimodal Perception and Interaction with Transformers] HumanE-AI-Net Micro Project <BR> | ||
[[File:new.jpg]] [http://crowley-coutaz.fr/jlc/Courses/ACAI2021/Multimodal-Transformer-Tutorial.html Multimodal Perception and Interaction with Transformers] Tutorial Presented at ACAI 2021 <BR> | [[File:new.jpg]] [http://crowley-coutaz.fr/jlc/Courses/ACAI2021/Multimodal-Transformer-Tutorial.html Multimodal Perception and Interaction with Transformers] Tutorial Presented at ACAI 2021 <BR> | ||
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[https://jalammar.github.io/illustrated-transformer/ The Illustrated Transformer] by Jay Alammar <BR> | [https://jalammar.github.io/illustrated-transformer/ The Illustrated Transformer] by Jay Alammar <BR> | ||
− | + | == Neuroscience == | |
[https://www.ncbi.nlm.nih.gov/books/NBK92864/#ch18_sec1 Did you know that multisensory integration develops late in humans], including [https://www.frontiersin.org/articles/10.3389/fnint.2012.00077/full visuo-auditory integration] and [https://pubmed.ncbi.nlm.nih.gov/18450446/ visuo-haptic integration]? <BR> | [https://www.ncbi.nlm.nih.gov/books/NBK92864/#ch18_sec1 Did you know that multisensory integration develops late in humans], including [https://www.frontiersin.org/articles/10.3389/fnint.2012.00077/full visuo-auditory integration] and [https://pubmed.ncbi.nlm.nih.gov/18450446/ visuo-haptic integration]? <BR> | ||
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[https://www.youtube.com/watch?v=HZh0A-lWSmY The Neuron] A video of Paul Anderson explaining the anatomy (structure) of the neuron <BR> | [https://www.youtube.com/watch?v=HZh0A-lWSmY The Neuron] A video of Paul Anderson explaining the anatomy (structure) of the neuron <BR> | ||
− | + | == Robotics == | |
− | + | ||
− | + | ||
− | + | ||
− | + | ||
[https://www.redblobgames.com/pathfinding/a-star/introduction.html A* Algorithm]: a great place to begin <BR> | [https://www.redblobgames.com/pathfinding/a-star/introduction.html A* Algorithm]: a great place to begin <BR> | ||
[http://theory.stanford.edu/~amitp/GameProgramming/ A* Pages]: super place to learn more <BR> | [http://theory.stanford.edu/~amitp/GameProgramming/ A* Pages]: super place to learn more <BR> | ||
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[[File:new.jpg]] [https://www.technologyreview.com/2018/12/19/138508/mighty-mouse/ Theseus] Claude E. Shannon's 1950 maze-learning mouse robot <BR> | [[File:new.jpg]] [https://www.technologyreview.com/2018/12/19/138508/mighty-mouse/ Theseus] Claude E. Shannon's 1950 maze-learning mouse robot <BR> | ||
− | + | == Robotics in STEM Education == | |
[https://meetedison.com/ Edison] <BR> | [https://meetedison.com/ Edison] <BR> | ||
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[[File:new.jpg]] [https://www.steamconnection.org/ The Steam Connection] building the future, one robot at a time <BR> | [[File:new.jpg]] [https://www.steamconnection.org/ The Steam Connection] building the future, one robot at a time <BR> | ||
− | + | == Software Engineering == | |
[http://paulgraham.com/index.html Paul Graham's website] ... go here if you want to challenge and change your views on programming, Lisp, and life (start with the [http://paulgraham.com/articles.html essays]). | [http://paulgraham.com/index.html Paul Graham's website] ... go here if you want to challenge and change your views on programming, Lisp, and life (start with the [http://paulgraham.com/articles.html essays]). | ||
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<BR> | <BR> | ||
− | + | == Trinity College Dublin == | |
[https://scss.tcd.ie/news/item.php?id=143 Computer Science: Then and Now] in honour of Professor John Byrne. | [https://scss.tcd.ie/news/item.php?id=143 Computer Science: Then and Now] in honour of Professor John Byrne. | ||
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[https://scss.tcd.ie/SCSSTreasuresCatalog/ The John Gabriel Byrne Computer Science Collection] | [https://scss.tcd.ie/SCSSTreasuresCatalog/ The John Gabriel Byrne Computer Science Collection] | ||
− | + | == Tutorials == | |
− | + | ||
[[File:new.jpg]] [https://towardsdatascience.com/how-to-create-mathematical-animations-like-3blue1brown-using-python-f571fb9da3d1 How to create mathematical animations like 3blue1brown using Python]<BR> | [[File:new.jpg]] [https://towardsdatascience.com/how-to-create-mathematical-animations-like-3blue1brown-using-python-f571fb9da3d1 How to create mathematical animations like 3blue1brown using Python]<BR> | ||
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[[File:new.jpg]] [https://jalammar.github.io/illustrated-transformer/ The Illustrated Transformer] by Jay Alammar | [[File:new.jpg]] [https://jalammar.github.io/illustrated-transformer/ The Illustrated Transformer] by Jay Alammar | ||
− | + | == Women in Science, Engineering, and Technology == | |
[[File:new.jpg]] [https://www.asme.org/topics-resources/content/10-influential-women-in-engineering 10 Influential Women in Engineering] <BR> | [[File:new.jpg]] [https://www.asme.org/topics-resources/content/10-influential-women-in-engineering 10 Influential Women in Engineering] <BR> | ||
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[[File:new.jpg]] [https://sites.google.com/andrew.cmu.edu/the-no-excuses-list/home The No Excuses List] Women Faculty in Robotics <BR> | [[File:new.jpg]] [https://sites.google.com/andrew.cmu.edu/the-no-excuses-list/home The No Excuses List] Women Faculty in Robotics <BR> | ||
− | + | == Writing - Grammar, Composition, Style == | |
[[File:new.jpg]] [https://helenlewis.substack.com/p/the-bluestocking-on-writing The Bluestocking: On Writing] <BR> | [[File:new.jpg]] [https://helenlewis.substack.com/p/the-bluestocking-on-writing The Bluestocking: On Writing] <BR> | ||
[https://blog.apastyle.org/apastyle/2012/03/title-case-and-sentence-case-capitalization-in-apa-style.HTML Title Case and Sentence Case Capitalization in APA Style] <BR> | [https://blog.apastyle.org/apastyle/2012/03/title-case-and-sentence-case-capitalization-in-apa-style.HTML Title Case and Sentence Case Capitalization in APA Style] <BR> | ||
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<BR> | <BR> | ||
− | + | == Writing - The Benefits of Taking Handwritten Notes == | |
[[File:new.jpg]] [https://journals.sagepub.com/doi/abs/10.1177/0956797614524581 The Pen Is Mightier Than the Keyboard: Advantages of Longhand Over Laptop Note Taking] | [[File:new.jpg]] [https://journals.sagepub.com/doi/abs/10.1177/0956797614524581 The Pen Is Mightier Than the Keyboard: Advantages of Longhand Over Laptop Note Taking] | ||
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[https://www.psychologytoday.com/intl/blog/memory-medic/201303/why-writing-hand-could-make-you-smarter Why Writing by Hand Could Make You Smarter] | [https://www.psychologytoday.com/intl/blog/memory-medic/201303/why-writing-hand-could-make-you-smarter Why Writing by Hand Could Make You Smarter] | ||
− | + | == Odds and Ends == | |
[https://www.boredpanda.com/top-100-world-photos-influential-all-time/ 100 Photos - The most influential images of all time]. The [http://100photos.time.com/ link to the original Time website] is broken<BR> | [https://www.boredpanda.com/top-100-world-photos-influential-all-time/ 100 Photos - The most influential images of all time]. The [http://100photos.time.com/ link to the original Time website] is broken<BR> | ||
[[File:new.jpg]] [https://docs.google.com/document/d/1IBtw-VZfhlWDYCcj8o00PP8bJQNxo6IARa4hYf5bASc/edit A Short Guide to Sharing Pronouns for Trans Allies] <BR> | [[File:new.jpg]] [https://docs.google.com/document/d/1IBtw-VZfhlWDYCcj8o00PP8bJQNxo6IARa4hYf5bASc/edit A Short Guide to Sharing Pronouns for Trans Allies] <BR> | ||
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[[File:new.jpg]] [https://commonslibrary.org/the-intertwine-charter-going-beyond-anti-discrimination-and-towards-pro-active-change-to-welcome-others/ The Intertwine Charter: Going beyond anti-discrimination and towards pro-active change to welcome others] <BR> | [[File:new.jpg]] [https://commonslibrary.org/the-intertwine-charter-going-beyond-anti-discrimination-and-towards-pro-active-change-to-welcome-others/ The Intertwine Charter: Going beyond anti-discrimination and towards pro-active change to welcome others] <BR> | ||
[https://uxdesign.cc/the-knowns-and-unknowns-framework-for-design-thinking-6537787de2c5 The knowns and unknowns framework for design thinking] <BR> | [https://uxdesign.cc/the-knowns-and-unknowns-framework-for-design-thinking-6537787de2c5 The knowns and unknowns framework for design thinking] <BR> | ||
+ | [https://www.cs.virginia.edu/~robins/The_Limits_of_Quantum_Computers.pdf The Limits of Quantum Computers] | ||
[http://thepointmag.com/ The Point Magazine] <BR> | [http://thepointmag.com/ The Point Magazine] <BR> | ||
[https://solarsystem.nasa.gov/resources/2234/the-story-behind-apollo-8s-famous-earthrise-photo/ The story behind the Apollo 8 Earthrise photo] <BR> | [https://solarsystem.nasa.gov/resources/2234/the-story-behind-apollo-8s-famous-earthrise-photo/ The story behind the Apollo 8 Earthrise photo] <BR> |
Revision as of 05:21, 19 April 2023
Contents
- 1 Artificial Cognitive Systems
- 2 Artificial Intelligence
- 3 Cognitive Robotics
- 4 Computer Vision
- 5 Control
- 6 Copyright
- 7 Cybernetics and System Dynamics
- 8 Cycling
- 9 Engineering Education
- 10 Engineering Mathematics
- 11 Emergence and Self-Organization
- 12 Fountain Pens
- 13 Graphs and Networks
- 14 Helping People in Need
- 15 History of Technology
- 16 Innovation and Entrepreneurship
- 17 Languages: Irish and Swedish
- 18 LaTeX
- 19 Lisp
- 20 Mac
- 21 Machine Learning
- 21.1 Bayesian Approaches
- 21.2 Books and Resources
- 21.3 Comparisons
- 21.4 Datasets
- 21.5 Deep Learning
- 21.6 Environments
- 21.7 Ethical Issues
- 21.8 Gaussian Processes
- 21.9 Generative Adversarial Networks
- 21.10 Large Language Models
- 21.11 Recurrent Neural Networks
- 21.12 Reinforcement Learning
- 21.13 Self-Supervised Learning
- 21.14 Transformers
- 22 Neuroscience
- 23 Robotics
- 24 Robotics in STEM Education
- 25 Software Engineering
- 26 Trinity College Dublin
- 27 Tutorials
- 28 Women in Science, Engineering, and Technology
- 29 Writing - Grammar, Composition, Style
- 30 Writing - The Benefits of Taking Handwritten Notes
- 31 Odds and Ends
signifies a recently added item
Artificial Cognitive Systems
Artificial Cognitive Systems (a separate list of links)
Artificial Intelligence
Origins
A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence, August 31, 1955
Foundations and Grand Challenges of Artificial Intelligence: AAAI Presidential Address Raj Reddy (1988)
MYCIN expert system for infectious disease therapy A milestone in AI
MYCIN Book
Natural selection and the emergence of mind Speech by Karl Popper about Charles Darwin
The Chinese Room
AI in Society
AI FORA - AI for Assessment
AI for Good Foundation
AI for Good Global Summit
AI in Europe
Artificial Intelligence and Machine Learning in Africa
Artificial Intelligence, Robotics, and Machine Learning in Africa
Black in AI
Cooperative AI Foundation
OECD National AI policies & strategies
The Fourth Industrial Revolution - what it means and how to respond
The rise of the deepfake and the threat to democracy
The role of artificial intelligence in achieving the Sustainable Development Goals Nature Communications (2020)
White Paper on Artificial Intelligence from the European Commission
AI in Business
AI Transformation Playbook
Artificial Intelligence for the Real World A Harvard Business Review perspective on using artificial cognitive capabilities in business
How to choose your first AI project Andrew Ng in Harvard Business Review 2019
Sizing the prize What's the real value of AI for your business and how can you capitalise? PWC report
AI Education
AI4ALL
AI4K12
FIRST: A global robotics community preparing young people for the future
MinnaLearn Three popular courses: Elements of AI, Building AI, and AI for Built Environment
Teaching AI to young people
The Artificial Intelligence Wiki A Beginner’s Guide to Important Topics in AI, Machine Learning, and Deep Learning.
Evolution of AI
AI at a Crossroads
Artificial Intelligence’s Grand Challenges: Past, Present, and Future Ganesh Mani (2021).
Artificial Intelligence - Past, Present, and Future
Artificial Intelligence — The Revolution Hasn’t Happened Yet by Michael I. Jordan, with commentaries.
Cooperative AI Open Problems
Limitations of AI
"AI is neither artificial nor intelligent" Interview with Kate Crawford, author of Atlas of AI
Can computers learn common sense?
Review of John Haugland's "Artificial Intelligence: The Very Idea" by John McCarthy
TechScape: why you shouldn’t worry about sentient AI … yet
The Stupidity of AI
What DALL-E 2 can and cannot do by LessWrong. Notice in the first image the physical implausibility of the mannequin fingers morphing into folds in the dress.
Ethics in AI
Algorithmic Justice League
Assessment List for Trustworthy Artificial Intelligence for self-assessment
Deep fakes: one element of the dark side of AI and ML
Ethics Guidelines for Trustworthy AI from the European Commission
Ethical issues in AI
Governing artificial intelligence: ethical, legal and technical opportunities and challenges
International Conference on Robot Ethics and Standards ICRES
AI Applications and Resources
Colab from Google
DALL·E 2 Text to image conversion using deep neural networks
Digital Agriculture for Small-Scale Producers: Challenges and Opportunities CACM (2021)
AI Science and Technology
Definitions of Artificial and Human Intelligence
IBM Neuro-Symbolic AI Workshop 2022
IBM Neuro-Symbolic AI Summer School
LaMDA, Google natural language foundation model
Neurosymbolic AI: The Third Wave
Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp open-source repository for the book by Peter Norvig (1992)
The AI behind Watson
What Is ChatGPT Doing … and Why Does It Work?
XAI Explainable Artificial Intelligence
Yann LeCun Cake Analogy 2.0
Cognitive Robotics
Cognitive Robotics Resources (list of links)
Computer Vision
2-Dimensional Motion Perception in humans; seminal video from the 1970s.
Andrej Karpathy's course CS231n Convolutional Neural Networks for Visual Recognition
Attention: SALICON eye-tracking dataset
Attention: scan-path prediction
Autonomous Road Following Application, Use case demo (its the second last video in the right sidebar)
Bag of Features Descriptor
Biological Motion clip from Vilayanur S. Ramachandran
Biological Motion II
Deep Learning for Computer Vision with Python; great book and software, including a fully-configured virtual machine.
Egocentric vision resources
Head Eye Tracking
How to install OpenCV with pip
Install OpenCV 3.4.4 on Ubuntu 16.04 (C++ and Python)
OpenCV Python example of contour features
OpenMV camera
Cartographer SLAM software from Google
The Affective Growth of Computer Vision
The Ancient Secrets of Computer Vision J. C. Redmon's cool computer vision course at the University of Washington, Spring 2018
Understanding NDVI (Normalized Difference Vegitation Index) and other indices in remote sensing for assessing plant health
YOLO: Real-Time Object Detection
Control
PID control
Why does a proportional controller have a steady state error
Copyright
Copyright & Fair Use Carnegie Mellon University Africa
Fair Use Policy Carnegie Mellon University Africa
Fair Use in the Copyright Act
Fair Use and Other Educational Uses The University of Chicago
Educational Uses of Non-coursepack Materials Stanford University
Cybernetics and System Dynamics
Complicated vs. Complex A Note on the Difference Between Complicated and Complex Social Systems by Roberto Poli
David Wolpert's website
Gordon Pask Archive
Karl Popper Natural selection and the emergence of mind
Paul Pangaro
System Dynamics Society
W. Ross Ashby Digital Archive
Cycling
Articles
Cycling About with great articles
The Rules
Bikes
Enigma Bicycle Works
Storck Bikes
Bike Maintenance
Crank & Bearing Removal and Installation - Campagnolo® Ultra-Torque™
The complete guide to bottom bracket standards
Equipment and Kit
Sturmey Archer S2C Duomatic
Musguard
Carbonfibre-like Insoles
Thermosoles
Assos Factory Outlet
Guide to studded bike tyres
How to install OpenStreetMap on your Garmin
Events and Routes
11 of the best cycling challenges in Ireland
Biking in Rwanda - Downloads and Interactive Maps by Kaspar Kundert
Cyclo Calendar
Donegal Cycle Route
EuroVelo 1 - Atlantic Coast Route
GPSies Routes including file format conversion, e.g. GPS to TCX.
Grand Trophee Cycling Events
Race around Rwanda with an alternative non-competitive Journey around Rwanda
The Congo Nile Trail
Tre Berg Sportive in Sweden & Map
Vätternrundan in Sweden
Guides and Rentals
Cork Bike Rental Ireland
Lucca Cycling Club Italy
Nutrition
Glycemic Index Lists
Regulation of Muscle Glycogen Repletion, Muscle Protein Synthesis and Repair Following Exercise
Organizations
Engineering Education
A Whole New Engineer: a different way to approach effective teaching and learning (watch the video)
Bloom's Taxonomy
Open-book assessments: dos and don’ts that foster good practice
Project Management for PhDs
Standards and Guidelines for Quality Assurance in the European Higher Education Area
Engineering Mathematics
The ten best linear algebra books
Introduction to Independent Component Analysis - Barnabás Póczos, University of Alberta
Blind Source Separation and Independent Component Analysis
Subspace Methods for Visual Learning and Recognition ECCV 2002 Tutorial (short version) - Horst Bischof and Ales Leonardis
Subspace Methods for Visual Learning and Recognition ECCV 2002 Tutorial (full version) - Horst Bischof and Ales Leonardis
Fast ICA
FastICA C Implementation
Emergence and Self-Organization
Emergence: Complexity & Organization - An International Transdisciplinary Journal of Complex Social Systems
The Information Theory of Life
Fountain Pens
The Parker 51
Parker 51 History
The Evolution of the Sheaffer Inlaid Nib 1959-Present
Graphs and Networks
Network Science by Albert-Laszalo Barabasi
Other Books by Albert-Laszalo Barabasi
GraphViz graph visualization
Helping People in Need
MindLeaps
The GLO Africa Tour 2018
History of Technology
Reverse Engineering Sinclair's amazing 1974 calculator
Innovation and Entrepreneurship
European Institute of Innovation and Technology (EIT)
EIT ICT Labs
EIT Knowledge and Innovation Communities (KIC) Educational Activities Final Report
Languages: Irish and Swedish
Irish 101: An Introduction to Irish Language and Culture
Basic phrases in Swedish
Folkets Lexikon
DuoLingo
LaTeX
Get LaTeX here
MacTeX for MacOS
Plotneuralnet Latex code for making neural networks diagrams
TeXworks is a lightweight GUI front-end (MacTeX doesn't come with a GUI). Note: you'll have to set TeXworks Preferences > Typesetting to specify where the MacTeX binaries have been installed, e.g. /usr/local/texlive/2016/bin/x86_64-darwin.
Tufte-Latex Classes for producing books in the style of Edward R. Tufte (this is how I typeset my book Artificial Cognitive Systems - A Primer, published by MIT Press)
Drawing in LaTeX using TikZ
TikZ examples
The 3D Plot package for TikZ
The Listings Package
Lisp
Common Lisp: A Gentle Introduction to Symbolic Computation by David Touretzky
Land of Lisp
On Lisp by Paul Graham
ANSI Common Lisp by Paul Graham
Lisp Tutorial (Chapter 2 of ANSI Common Lisp by Paul Graham)
Practical Common Lisp
Functional programming for the rest of us
Paul Graham's website ... go here if you want to challenge and change your views on programming, Lisp, and life (start with the essays)
Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp open-source repository for the book by Peter Norvig (1992)
Common Lisp REPL Exploration Guide
Mac
How to troubleshoot an external drive
Common MacOS Catalina problems and how to fix them
SVN is deprecated in MacOS Catalina; here are ways to fix it
Taking Screenshots in OS X
OS X keyboard shortcuts
Open Source Mac Software
HyperJuice Batteries
HyperJuice Batteries in Europe
How to access files from an Ubuntu virtual machine in VirtualBox
How to access a web cam from an Ubuntu virtual machine in VirtualBox
You may need to first install the VirtualBox Extension Pack which provides support for USB 2.0 and USB 3.0 devices
Emacs or Mac OS X
Disable photoanalysisd
Machine Learning
Bayesian Approaches
A Gentle Introduction to Bayesian Belief Networks
Books and Resources
Data Science and Machine Learning; free book to download
Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
Model-based Machine Learning, co-authored by Chris Bishop, and the related Infer.NET framework running Bayesian inference in graphical models
Model-based Machine Learning Companion Paper, C. M. Bishop, Phil. Trans. R. Soc. A 2013 371: 20120222; see Section 4. for an overview of probabilistic graphical models.
Deep Learning for Computer Vision with Python; great book and software, including a fully-configured virtual machine.
Comparisons
Classifier Comparison with instructive visualization
Computer Scientist Explains Machine Learning in 5 Levels of Difficulty
Neural Network Zoo from Fjodor van Veen, The Asimov Institute
Neural Network Zoo Prequel: Cells and Layers with more detail on how each cell type works
Datasets
Kaggle Facial Expression Recognition dataset FER13
Deep Learning
Deep Learning overview
Neural Networks and Deep Learning
On the Origin of Deep Learning Haohan Wang and Bhiksha Raj
The original paper on the CNN by Yann LeCun, Leon Bottio, Yoshua Bengio, and Patrick Haffner
Environments
Colab from Google
Using Keras and TensorFlow for Anomaly Detection (including the use of LSTM)
Ethical Issues
Deep fakes: one element of the dark side of AI and ML
The rise of the deepfake and the threat to democracy
The Tank Story
Gaussian Processes
Gaussian processes - Visual exploration of Gaussian processes
Gaussian processes - Interactive Gaussian process visualization
Gaussian processes - Gaussian Processes for Machine Learning (Rasmussen and Williams, 2006)
Gaussian processes - The Kernel Cookbook: Advice on Covariance functions
Gaussian processes - An intuitive guide to Gaussian processes
Gaussian processes - An Intuitive Tutorial to Gaussian Processes Regression (Wang, 2022)
Gaussian processes - Introduction to Gaussian Processes Video Lecture (Nando de Freitas, 2013)
Generative Adversarial Networks
GAN Series; comprehensive overview of Generative Adversarial Networks
Large Language Models
A robot wrote this entire article. Are you scared yet, human? GPT-3
TechScape: why you shouldn’t worry about sentient AI … yet
Recurrent Neural Networks
Illustrated guide to LSTMs and GRUs: a step by step explanation
Introducing Deep Learning and Long Short-Term Memory Networks
The original paper on the LSTM by Sepp Hochreiter and Jurgen Schmidhuber
The Unreasonable Effectiveness of Recurrent Neural Networks
Andrej Karpathy's Blog
Understanding LSTMs
Reinforcement Learning
A (Long) Peek into Reinforcement Learning
Learning to Optimize with Reinforcement Learning and learning to learn
Learning to Optimize
Self-Supervised Learning
Self-supervised Learning Andrew Zisserman
Yann LeCun Cake Analogy 2.0; the slides from his ISCC talk are
here and the video of the talk is here
Transformers
Multimodal Perception and Interaction with Transformers HumanE-AI-Net Micro Project
Multimodal Perception and Interaction with Transformers Tutorial Presented at ACAI 2021
Multimodal Perception and Interaction with Transformers Research Tools
Multimodal Perception with Transformers Research Challenges and Data Sets
The Illustrated Transformer by Jay Alammar
Neuroscience
Did you know that multisensory integration develops late in humans, including visuo-auditory integration and visuo-haptic integration?
Has dopamine got us hooked on technology?
How a synapse works, part of an online course on the fundamentals of neuroscience
Human memory may be unreliable after just a few seconds
The Brain A video of Paul Anderson explaining the anatomy (structure) and physiology (function) of the brain
The Neuron A video of Paul Anderson explaining the anatomy (structure) of the neuron
Robotics
A* Algorithm: a great place to begin
A* Pages: super place to learn more
A* algorithm graphic interactive demo
A Gentle Introduction to ROS
Active Robots online shop
Anki, Jibo, and Kuri: what we can learn from social robots that didn't make it
Awarri "Our mission is to enable the development and adoption of advanced AI & Robotics technology on the African continent"
Awesome Robotics: a list of various books, courses and other resources for robotics
Beatbots, including Keepon Pro
Best Practices in Robotics Education IEEE RAS Women in Robotics Panel Discussion
Black in Robotics Building Community, Advocating for Diversity, Encouraging Accountability
Bullet Real-Time Physics Simulation
Black in Robotics Special Series at IROS 2020
Chess robot grabs and breaks finger of seven year old opponent
Cognitive Robotics Resources separate list of links
EASE - Everyday Activity Science & Engineering: how human-scale manipulation tasks can be mastered by robotic agents
Elegoo robot car
Elegoo Tumbller
Franka Emika Robot
Haru: An Experimental Social Robot From Honda Research
Here’s why robots are actually going to increase human employment
Human-Robot Interaction - An Introduction An online textbook by C. Bartneck, T. Belpaeme, F. Eyssel, T. Kanda, M. Keijsers, and S. Šabanović
IEEE guide to the world of robots
International Conference Series on Robot Ethics and Standards
Intrinsic a new Alphabet company dedicated to facilitating widespread deployment of robotics
iRobot Create 2
iRobot Create 3
Lynxmotion AL5D 4DOF Robot Arm
Makeblock robot kits
Maria Petrou's Ironing Robot Challenge
Meca500 robot arm
PARC - Pan-African Robotics Competition
Pathfinding in maps: graphic interactive demo of
Path planning with A* and RRT & RRT*
Principles of Robotics
RoboHub All the latest news about robotics
Quanser QArm 4 dof
ROSA ONE Brain: a robotic platform to assist surgeons in planning and performing complex neurosurgical procedures in a minimally invasive manner
The Construct A Platform to Learn/Teach Robotics from Zero. Everything from robotics theory to ROS based robot programming
The No Excuses List Women Faculty in Robotics
The real cost of robotics
The Robotics Primer Workbook
Theseus Claude E. Shannon's 1950 maze-learning mouse robot
Robotics in STEM Education
Edison
Promoting Innovation in Rwanda through Robotics Education
STEM Robotics
Robotics in STEM Education: Redesigning the Learning Experience
Nine dimensions of STEM learning that can be supported by digital technologies PDF Report (2019)
Using Robotics and Game Design to Enhance Children’s Self-Efficacy, STEM Attitudes, and Computational Thinking Skills (2016)
Experiential learning of electronics subject matter in middle school robotics courses (2015)
Shape Robotics Fable robot
5 Ways Robotics Can Boost STEM Learning
Robotics in Australian Schools with extensive list of robot resources, including Sphero, Edison, Ozobot, Makeblock, Bee-bot, Tetrix, Botley, Blue-bot, Cozmo, Strawbees
Tech-Labs STEM Robotics Education
The Steam Connection building the future, one robot at a time
Software Engineering
Paul Graham's website ... go here if you want to challenge and change your views on programming, Lisp, and life (start with the essays).
Journal of Software Engineering for Robotics
10 Quotes from David Parnas
How to write unmaintainable code
Absolute Beginners Guide to Emacs
ACM Code of Ethics and Professional Conduct
ACM Code of Ethics and Professional Conduct Official Repository
ACM/IEEE Software Engineering Code of Ethics and Professional Practice Version 5.2, 2016
IEEE-CS/ACM Code of Ethics
Why don't people use formal methods?
Version control with Subversion (SNV)
Oliver Steele's explanation of the Git data transport commands (nice if your used to Subversion)
BSD vs. GPL
Trinity College Dublin
Computer Science: Then and Now in honour of Professor John Byrne.
The John Gabriel Byrne Computer Science Collection
Tutorials
How to create mathematical animations like 3blue1brown using Python
3Blue1Brown: The Essence of Calculus
3Blue1Brown: But what is a neural network? | Chapter 1, Deep learning
3Blue1Brown: Gradient descent, how neural networks learn | Chapter 2, Deep learning
3Blue1Brown: What is backpropagation really doing? | Chapter 3, Deep learning
3Blue1Brown: Backpropagation calculus | Chapter 4, Deep learning
A (Long) Peek into Reinforcement Learning
Lisp Tutorial (Chapter 2 of ANSI Common Lisp by Paul Graham)
Automate the Boring Stuff: introduction to Python
Information Theory Primer
POMDPs for Dummies
What does a data scientist do?
Why Model?
Feynman on the Scientific Method
A brief introduction to graphical models and Bayesian networks
Visual attention: new directions in saliency research
The Poisson distribution and Poisson distribution problems
A Beginner's Guide to Artificial Intelligence, Machine Learning, and Cognitive Computing
Introducing Deep Learning and Long Short-Term Memory Networks
Using Keras and TensorFlow for Anomaly Detection (including the use of LSTM)
Illustrated guide to LSTMs and GRUs: a step by step explanation
Understanding LSTMs
The Unreasonable Effectiveness of Recurrent Neural Networks
Neural Network Zoo from Fjodor van Veen, The Asimov Institute
Neural Network Zoo Prequel: Cells and Layers with more detail on how each cell type works
The Illustrated Transformer by Jay Alammar
Women in Science, Engineering, and Technology
10 Influential Women in Engineering
An object lesson on how not to think about women in science: Science: It's a Girl Thing ... so many stereotypes, so much bias, so very sad.
Barbie Robotics Engineer: inspiring girls to learn how to write software
Gender diversity in technology in Rwanda
IEEE Robotics & Automation Society Women in Engineering (WiE) web page
IEEE Robotics & Automation Society - Women in Engineering (WiE) Dedicated website
IEEE Robotics & Automation Society - Women in Engineering (WiE) LinkedIn
International Women in Engineering Day
Levers in Heels Bringing visibility to African women in STEM
On the gender gap in technology (read the last four paragraphs if you're short of time)
The SHE++ website is gone, but you can still watch the video, check it on Facebook, or go to SHE++ London
Timeline of Women in Computing
The No Excuses List Women Faculty in Robotics
Writing - Grammar, Composition, Style
The Bluestocking: On Writing
Title Case and Sentence Case Capitalization in APA Style
On dangling prepositions and rules "up with which I will not put" (here is the Benjamin G. Zimmer article on the quotation)
Henry Kissinger: "Is this the best you can do?"
The Elements of Style
Link Grammar a syntactic parser for the Link grammar of English, with a neat interactive sentence parser that identifies the parts of speech.
Thinking in Threes: The Power of Three in Writing
The Rule of Three in Writing
Seven tips from Ernest Hemingway on how to write fiction (also useful for writing theses)
Writing Numbers
SI Unit rules and style conventions
Punctuation rules: commas; also see Section 2 in The Elements of Style
Footnote markers are placed after the punctuation mark
Clear explanation of the difference between the gerund and the present participle, i.e. words ending in "-ing"
Rules of English Style by Drew McDermott
Example of good technical writing: Scientific Background: The Brain’s Navigational Place and Grid Cell System (pdf)
"I have made this longer than usual because I have not had time to make it shorter", Blaise Pascal, Lettres Provinciales, Lettre XVI; also see here and here for details, and here for variations on the theme.
Oxford Spelling and why using "-ize" rather than "-ise" is correct, even in British English.
Example of Inspirational Writing: the text of J. K. Rowling's "Very Good Lives" - the book and the Video.
To Beg the question explained (and why one should avoid phrases with esoteric or ambiguous meanings, even when used correctly)
Writing - The Benefits of Taking Handwritten Notes
The Pen Is Mightier Than the Keyboard: Advantages of Longhand Over Laptop Note Taking
The Benefits of No-Tech Note Taking
Why Writing by Hand Could Make You Smarter
Odds and Ends
100 Photos - The most influential images of all time. The link to the original Time website is broken
A Short Guide to Sharing Pronouns for Trans Allies
Administratium
Apophenia
Battery University
Bing Crosby & David Bowie Peace on Earth / Little Drummer Boy duet
Breaking waves audio
Bubble-sort folk dance
Claude E. Shannon Founder of Information Theory
Complicated vs. Complex A Note on the Difference Between Complicated and Complex Social Systems by Roberto Poli
Covid-19 pandemic: Tracking the global coronavirus outbreak
Diversity, Equity, and Inclusion
Dilbert - The Knack
Divination by Program Committee
Emojipedia
Filing Rules for listing names beginning with Mc and Mac
Heilmeier's catechism for researchers
In Defense of J.K. Rowling (and read a full account of the controversy by Rhona Shennan in the Scotsman)
Ineffective Sorts
Ireland: a history of British colonial rule in Ireland
Julia Gillard's Misogyny Speech
Kigali Master Plan 2020
Less Wrong A website dedicated to rationality.
MakerBeam very neat kits that use 1 cm and 1.5 cm extruded aluminium for building mechanical frames for any purpose
MediaWiki Formatting Guide
Merge-sort folk dance
Meta-analysis
Motion-triggered figure-ground segmentation
Opinion is the lowest form of knowledge ... the correct attribution of this aphorism to Bill Bullard, not Plato, and attribution to George Eliot of the highest form of knowledge: empathy
Slide Hunter Free PowerPoint Presentation Templates
Presentation Go Free PowerPoint Presentation Templates
Program in C The Little Mermaid
Reduce PDF File Size
Robert Frost: The Road Not Taken and how it is almost universally misunderstood
Rwenzori Trekking
PC2Paper Send Letters from the Internet
Revisiting Rwanda by Murray Shanahan
Tactile Sensing
Teamwork: The four stages of team development
Ten words and phrases you should never use in IP contracts
The Golden Ratio
The Grant Cycle
The Guardian Optical Illusions
The incredible ibex defies gravity and climbs a dam | Forces of Nature with Brian Cox - BBC
The Intertwine Charter: Going beyond anti-discrimination and towards pro-active change to welcome others
The knowns and unknowns framework for design thinking
The Limits of Quantum Computers
The Point Magazine
The story behind the Apollo 8 Earthrise photo
There are known knowns
Video of Donald Rumsfeld's famous use of the knowns and unknowns framework in 2002
Toys and Child Development one quote, in an article full of quotable quotes: "The best toys are 90% the kid, 10% the toy”, Kathy Hirsh-Pasek
Visual explanations
What / Where is the Global South?
You Don't Get To Be Racist and Irish Imelda May's brilliant poem