1<!doctype html><html lang=en><head><meta name=generator content="Hugo 0.100.0"><link rel=icon type=image/png sizes=32x32 href=https://cmlab.dev/favicon-32x32.png><link rel=icon type=image/png sizes=96x96 href=https://cmlab.dev/favicon-96x96.png><link rel=icon type=image/png sizes=16x16 href=https://cmlab.dev/favicon-16x16.png><meta charset=utf-8><meta http-equiv=x-ua-compatible content="IE=edge,chrome=1"><meta name=viewport content="width=device-width,initial-scale=1"><meta name=description content><meta name=author content="Computational Media Lab"><title>Computational Media Lab - https://cmlab.dev</title><link rel=canonical href=https://cmlab.dev/><link href=https://cmlab.dev/css/bootstrap.min.css rel=stylesheet><link href=https://cmlab.dev/css/font-awesome.css rel=stylesheet><link href=https://cmlab.dev/css/custom.css rel=stylesheet><link rel=stylesheet type=text/css href=//cdn.jsdelivr.net/npm/[email protected]/slick/slick.css><link rel=stylesheet type=text/css href=//cdn.jsdelivr.net/npm/[email protected]/slick/slick-theme.css><style type=text/css>code.has-jax{font:inherit;font-size:100%;background:inherit;border:inherit;color:#515151}</style></head><body><nav class="navbar navbar-default navbar-fixed-top" role=navigation><div class=container><div class=navbar-header><button type=button class=navbar-toggle data-toggle=collapse data-target=.navbar-ex1-collapse> 2<span class=sr-only>Toggle Navigation</span> 3<span class=icon-bar></span> 4<span class=icon-bar></span> 5<span class=icon-bar></span></button> 6<a class=navbar-brand href=https://cmlab.dev><div style="margin:-12px -15px;height:inherit"><img style=height:100% src=https://cmlab.dev/img/cmlab-logo.png></img> 7Computational Media Lab</div></a></div><div class="pull-right collapse navbar-collapse navbar-ex1-collapse"><ul class="nav navbar-nav text-uppercase"><li><a href=https://cmlab.dev/people/>people</a></li><li><a href=https://cmlab.dev/publications/>publications</a></li><li><a href=https://cmlab.dev/edu/>courses</a></li><li><a href=https://cmlab.dev/post>blog</a></li><li><a href=https://cmlab.dev/news/>news</a></li><li><a href=https://cmlab.dev/contact/>contact</a></li></ul></div></div></nav><div class=container><div class=row style=padding-bottom:25px><div class=col-md-12><p>The Computational Media Lab at the <a href=http://www.anu.edu.au/>ANU</a> focus on 8computational problems for understanding online media and their interactions with and among humans. 9We develop core methods in machine learning and optimization. 10We also formulate and solve problems in understanding online behavior, multimedia 11and the broader implications of machine intelligence.</p><p>You may be interested in sampling the recent blog posts below, look at our <a href=https://cmlab.dev/research>research summary</a>, <a href=https://cmlab.dev/publications>publications</a>, <a href=https://cmlab.dev/post>all past posts</a>, or navigate by categories and tags.<br></p><hr><h4><b>Recent updates</b></h4><ul class="list-unstyled li-menu"><li><span class=update-time>2024-01</span> 12<span class=update-content>Lexing gave a seminar titled 13<a href="https://www.youtube.com/watch?v=gos7Ab7b9iI">"Understanding Online Attention: from Items to Markets"</a> at 14Chinese University of Hong Kong Computational Social Science Lab. 15The talk was broadcast live and broke Lexing's personal record for attracting online attention.</span></li><li><span class=update-time>2023-05</span> 16<span class=update-content>The Web Conference and ICLR 2023 are taking place this month! Haiqing is presenting 17<a href=https://arxiv.org/abs/2302.06226>Stability and Efficiency of Personalised Cultural Markets</a> at the former, 18and Alasdair is presenting <a href="https://openreview.net/forum?id=tmIiMPl4IPa">Factorized Fourier Neural Operators</a> at the latter.</span></li><li><span class=update-time>2023-03</span> 19<span class=update-content><a href=https://cmlab.dev/post/influence_flower/>Influence flower</a> is 20<a href=https://blog.arxiv.org/2023/03/27/new-arxivlabs-integrations-provide-insights-into-the-academic-influence-of-researchers-and-enable-reproducibility-through-access-to-data-and-code/>integrated into arxiv.org</a>! 21After years of hard-work, multiple iterations of both the frontend, backend, and the underlying data sources, <a href=https://shinminjeong.github.io/>Minjeong</a> has made this integration happen. 22We are very proud of this achievement!</span></li><li><span class=update-time>2022-02</span> 23<span class=update-content>We will be teaching Statistical Machine Learning again <a href=https://cmlab.dev/sml2022>this semester</a>, look forward to a semester of learning with 200+ students.</span></li><li><span class=update-time>
232021-10</span> 24<span class=update-content>Lexing gave a talk at University of Michigan <a href=https://www.si.umich.edu/about-umsi/news/data-science/computational-social-science-seminars-fall-roster-announced>Data Science/Computational Social Science Seminar</a>.</span></li><li><span class=update-time>2021-07</span> 25<span class=update-content>Lexing gave talks at on the measurement and machine learning for popularity (viral videos, how and why), 26at KAIST (<a href=https://ds.ibs.re.kr/event/2021-07-13/>info</a>), Monash University, 27and ANU AI+ML seminar series (<a href=https://youtu.be/Dc9UfGmFrXs>video</a>).</span></li><li><span class=update-time>2021-06</span> 28<span class=update-content>Lexing gave an invited talk at the <a href=https://fvc-workshop.github.io/>CVPR FVC workshop</a> on 29<a href="https://www.youtube.com/watch?v=RXHIWLTwdbo">"Captioning Images with Knowledge and Style"</a>, 30the video is <a href="https://www.youtube.com/watch?v=RXHIWLTwdbo">here</a>.</span></li><li><span class=update-time>2021-04</span> 31<span class=update-content>Check out our paper at TheWebConf 2021 <a href=https://arxiv.org/abs/2102.07289.pdf>Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series</a>. 32You can browse and search in the networks of time series for Vevo music videos and Wikipedia traffic at <a href=https://attentionflow.ml/#/overview/basic>AttentionFlow.ml</a>.</span></li></ul>See <a href=news>here</a> for archived news items.<h4><b>Recent talks and video demos</b></h4><div class=slider></div></div></div><div class=row><div class=col-md-9><div class="panel panel-default"><div class=panel-heading><h4><a class=panel-title href=https://cmlab.dev/post/ai4good_workshop_2025/>AI for Climate, Safety and Environment Workshop</a><span class=pull-right><small><i class="glyphicon glyphicon-time"></i> Posted on Aug 5, 2025</small></span></h4><p class=text-muted>We hosted a workshop to explore how AI can drive impactful solutions for climate resilience, environmental monitoring, public and industrial safety.</p></div><div class=panel-body><p>Posted by Yue Liu and Haojie Zhuang, with edits contributed by Lexing Xie. Event Information Hosted by the ANU Computational Media Lab in partnership with ANUâs Integrated AI Network, CSIRO NSF Project and Data61 Tech4HSE Research Program, this oneâday inâperson event brings together a distinguished group of researchers and practitioners to explore how artificial intelligence can address critical challenges in climate, environmental, and public and industrial safety. Detailed workshop Program is here https://events.</p><a class="btn-sm btn-readmore pull-right" href=https://cmlab.dev/post/ai4good_workshop_2025/>Read More <span class="glyphicon glyphicon-chevron-right"></span></a></div></div><div class="panel panel-default"><div class=panel-heading><h4><a class=panel-title href=https://cmlab.dev/post/smallset_timelines/>Smallset Timelines for Communicating Data Preprocessing Decisions</a><span class=pull-right><small><i class="glyphicon glyphicon-time"></i> Posted on Nov 18, 2024</small></span></h4><p class=text-muted>Data preprocessing is messy and nuanced but full of consequential decisions, a `preprocessing cartoon strip` can be generated to help illustrate these decisions.</p></div><div class=panel-body><p><h5 id=posted-by-_lexing-xie_-and-_lydia-lucchesi_>Posted by <em>Lexing Xie</em> and <em>Lydia Lucchesi</em>.</h5><br><figure class="asn-fig asn-left" style=max-width:165px><img src=https://cmlab.dev/img/smallset/hex_sticker.png></figure>Smallset Timelines, and the associated <a href=https://cloud.r-project.org/web/packages/smallsets/index.html>R package</a> <a href=https://lydialucchesi.github.io/smallsets/>smallsets</a>, faciliate visual documentation of data preprocessing.<p></p><a class="btn-sm btn-readmore pull-right" href=https://cmlab.dev/post/smallset_timelines/>Read More <span class="glyphicon glyphicon-chevron-right"></span></a></div></div><div class="panel panel-default"><div class=panel-heading><h4><a class=panel-title href=https://cmlab.dev/post/aita_overview/>Data-driven Understanding of 100,000 Everyday Moral Dilemmas</a><span class=pull-right><small><i class="glyphicon glyphicon-time"></i> Posted on Feb 13, 2024</small></span></h4><p class=text-muted>We analysed the 7-year history of /r/AmITheAsshole, asked two questions and got two surprising answers.</p></div><div class=panel-body><p><h5 id=posted-by-_lexing-xie_-and-_ziyu-chen_>Posted by <em>Lexing Xie</em> and <em>Ziyu Chen</em>
32.</h5><p>Thanks to Eric Byler for a <a href=https://comp.anu.edu.au/news/2022/07/01/algorithms-reveal-human-nature-100k-moral-dilemmas/>2022 profile article</a> in college news!<br></p><p><br><p>We identify Redditâs Am I the Asshole (AITA) forum as a rich source of data to investigate the moral sphere using AI and machine learning. 33This work is done with Josh Nguyen and Alasdair Tran, and ANU philosophers Colin Klein, Nick Carroll, and most recently Nick Schuster.</p></p><a class="btn-sm btn-readmore pull-right" href=https://cmlab.dev/post/aita_overview/>Read More <span class="glyphicon glyphicon-chevron-right"></span></a></div></div><div class="panel panel-default"><div class=panel-heading><h4><a class=panel-title href=https://cmlab.dev/post/transform_and_tell/>Transform and Tell: Entity-Aware News Image Captioning</a><span class=pull-right><small><i class="glyphicon glyphicon-time"></i> Posted on May 29, 2020</small></span></h4><p class=text-muted>We develop a fully end-to-end news image captioning system that can generate entity names.</p></div><div class=panel-body><p><h5 id=posted-by-_alasdair-tran_-with-edits-from-_lexing-xie_-thanks-to-_ingrid-fadelli_-for-sending-us-interview-questions-br-p->Posted by <em>Alasdair Tran</em>, with edits from <em>Lexing Xie</em>. Thanks to <em>Ingrid Fadelli</em> for sending us interview questions.<br><p></h5><br><p align=center><iframe width=560 height=315 src=https://www.youtube.com/embed/lei1VOJbf40 frameborder=0 allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe></p><p>In our recent <a href=https://arxiv.org/abs/2004.08070>paper</a> published in CVPR 2020,
34we propose an end-to-end model that can generate linguistically-rich captions 35for news images. We also build a <a href=https://transform-and-tell.ml/>live demo</a> 36where people can generate a caption for any New York Times article.</p></p><a class="btn-sm btn-readmore pull-right" href=https://cmlab.dev/post/transform_and_tell/>Read More <span class="glyphicon glyphicon-chevron-right"></span></a></div></div><div class="panel panel-default"><div class=panel-heading><h4><a class=panel-title href=https://cmlab.dev/post/influence_flower/>Influence Flowers of Academic Entities</a><span class=pull-right><small><i class="glyphicon glyphicon-time"></i> Posted on Dec 31, 2019</small></span></h4><p class=text-muted>We present a new interactive webapp for exploring the rich intellectual heritage of academic entities.</p></div><div class=panel-body><p><h5 id=posted-by-_minjeong-shin_-with-edits-and-additions-by-_lexing-xie_-br-p->Posted by <em>Minjeong Shin</em>, with edits and additions by <em>Lexing Xie</em><br><p></h5><p><img style=float:left src=https://cmlab.dev/img/influence_flower/vast_flowers.png hspace=5 vspace=10><p></p><p>In our recent paper in <a href=https://arxiv.org/abs/1907.12748>IEEE VISâ19</a>, we introduced a new visual metaphor, called the Influence Flowers to represent flow influence between academic entities including people, publication venues, institutions, and topics.</p></p><a class="btn-sm btn-readmore pull-right" href=https://cmlab.dev/post/influence_flower/>Read More <span class="glyphicon glyphicon-chevron-right"></span></a></div></div><div class="panel panel-default"><div class=panel-heading><h4><a class=panel-title href=https://cmlab.dev/post/ai_cars/>AI and Cars - a Historical Analogy</a><span class=pull-right><small><i class="glyphicon glyphicon-time"></i> Posted on Jul 17, 2019</small></span></h4><p class=text-muted>Three timelines in developing and adopting cars may shed light on what humanity would do with machine intelligence.</p></div><div class=panel-body><p><h5 id=posted-by-_lexing-xie_-thanks-to-_mario-günther_httpswwwmario-guenthercom-_ignacio-ojea-quintana_httpwwwignacioojeanet-_swapnil-mishrahttpss-mishragithubio_-and-_atoosa-kasirzadehhttpkasirzadehorg_-for-many-great-suggestionsbr-p->Posted by <em>Lexing Xie</em>. Thanks to <a href=https://www.mario-guenther.com/><em>Mario Günther</em></a>, <a href=http://www.ignacioojea.net/><em>Ignacio Ojea Quintana</em></a>, <em><a href=https://s-mishra.github.io/>Swapnil Mishra</a></em> and <em><a href=http://kasirzadeh.org/>Atoosa Kasirzadeh</a></em> for many great suggestions.<br><p></h5><p><img style=float:left src=https://cmlab.dev/img/AI_cars/overview.png hspace=5 vspace=10><p><small>Fig. 1: Overview of three concurrently evolving timelines in the development of cars<sup>2</sup>. Top (green) - key events in engine and early system developments. Middle (red) - key events in car and road-safety related legislations. Bottom (blue) - rough separation of eras in car styling. Key events selected from Wikipedia narratives on <a href=https://en.wikipedia.org/wiki/Car>cars</a> and <a href=https://en.wikipedia.org/wiki/History_of_the_automobile>history of the automobile</a><sup>3</sup>. See article for discussion. For readability, time scales are not uniform.</small></p></p><a class="btn-sm btn-readmore pull-right" href=https://cmlab.dev/post/ai_cars/>Read More <span class="glyphicon glyphicon-chevron-right"></span></a></div></div><div class="panel panel-default"><div class=panel-heading><h4><a class=panel-title href=https://cmlab.dev/post/semstyle/>SemStyle: Learning to Caption Images like Romantic Novels</a><span class=pull-right><small><i class="glyphicon glyphicon-time"></i> Posted on Jun 10, 2018</small></span></h4><p class=text-muted>A new machine learning system that styles your caption like master story-tellers do.</p></div><div class=panel-body><p><h5 id=posted-by-_lexing-xie_-and-_alex-mathews_-br->posted by <em>Lexing Xie</em> and <em>Alex Mathews</em><br></h5><figure class="asn-fig asn-left" style=max-width:550px><img src=https://cmlab.dev/img/semstyle/3results.png><figcaption>
36Fig. 1: Descriptive (blue) and story-like (dark red) image captions created by the SemStyle system. The story-like captions in example (a) is written as a sequence of actions, rather than a static scene description; (b) introduces a new adjective and uses a poetic sentence structure. Styled caption (c) is my favorite failure case -- it violates commonsense but triggers readers' imagination!</figcaption></figure></p><a class="btn-sm btn-readmore pull-right" href=https://cmlab.dev/post/semstyle/>Read More <span class="glyphicon glyphicon-chevron-right"></span></a></div></div><div class="panel panel-default"><div class=panel-heading><h4><a class=panel-title href=https://cmlab.dev/post/four_layers/>The Layered Cake Structure of a Paper</a><span class=pull-right><small><i class="glyphicon glyphicon-time"></i> Posted on Mar 25, 2018</small></span></h4><p class=text-muted>The craft of paper writing can be mastered using recipes.</p></div><div class=panel-body><p><h5 id=posted-by-_lexing-xie_-additions-and-edits-by-_aditya-menon_-br-p->posted by <em>Lexing Xie</em>, additions and edits by <em>Aditya Menon</em><br><p></h5><p><img style=float:left src="https://i1.wp.com/alyonascooking.com/wp-content/uploads/2016/03/IMG_8489.jpg?w=160" width=100 hspace=10 vspace=5> 37I like cakes, and I enjoy reading logically lucid research articles. 38This post argues that research papers can benefit from explicitly thinking about and planning its <em>four</em> logical layers, just like a multi-layered 39<a href=https://en.wikipedia.org/wiki/Mille-feuille>Mille-feuille</a>, or Napoleon cake (image credit: <a href=http://alyonascooking.com/2016/03/easy-napoleon-cake/>alyonascooking</a>).</p></p><a class="btn-sm btn-readmore pull-right" href=https://cmlab.dev/post/four_layers/>Read More <span class="glyphicon glyphicon-chevron-right"></span></a></div></div><div class="panel panel-default"><div class=panel-heading><h4><a class=panel-title href=https://cmlab.dev/post/asnets/>Quick Planning with Action Schema Networks</a><span class=pull-right><small><i class="glyphicon glyphicon-time"></i> Posted on Feb 26, 2018</small></span></h4><p class=text-muted>How tricks from computer vision and deep learning can be used to accelerate planning algorithms</p></div><div class=panel-body><p><style>.asn-left{float:left}.asn-right{float:right}.asn-fig{margin:15px}.asn-fig.asn-results{text-align:center;width:100%;clear:both}.asn-fig.asn-results img{display:inline-block;max-width:350px}</style><h5 id=posted-by-_sam-toyer_-and-_sylvie-thiébaux_-br->posted by <em>Sam Toyer</em> and <em>Sylvie Thiébaux</em><br></h5><figure class="asn-fig asn-left" style=max-width:200px><img src=https://cmlab.dev/img/asnets/mit-blockbot.jpg><figcaption>Fig.1: A robot stacking blocks.</figcaption></figure><p>Planning algorithms try to find series of actions which enable an intelligent 40agent to achieve some goal.</p><p>Such algorithms are used everywhere from manufacturing to robotics to power 41distribution.</p><p>In our <a href=https://arxiv.org/abs/1709.04271>recent paper at AAAI ‘18</a>, we showed how 42to use deep learning techniques from vision and natural language processing to 43teach a planning system to solve entire classes of sophisticated problems by 44training on a few simple examples.</p></p><a class="btn-sm btn-readmore pull-right" href=https://cmlab.dev/post/asnets/>Read More <span class="glyphicon glyphicon-chevron-right"></span></a></div></div><div class="panel panel-default"><div class=panel-heading><h4><a class=panel-title href=https://cmlab.dev/post/2017_group_acticities/>Life Outside of Research in 2017</a><span class=pull-right><small><i class="glyphicon glyphicon-time"></i> Posted on Dec 21, 2017</small></span></h4><p class=text-muted>Siqi and Alex received sports and community accolades, respectively. The lab enjoyed two outings in town.</p></div><div class=panel-body><p><h5 id=posted-by-_quyu-kong_-with-edits-from-_lexing-xie_br->posted by <em>Quyu Kong</em>, with edits from <em>Lexing Xie</em><br></h5><p>Sports is a prominent theme in Canberra. This post celebrates two of our competitive athletes, and looks back at two out
44ings when the whole lab flexed our muscles and got a little bit wet.</p></p><a class="btn-sm btn-readmore pull-right" href=https://cmlab.dev/post/2017_group_acticities/>Read More <span class="glyphicon glyphicon-chevron-right"></span></a></div></div><div class="panel panel-default"><div class=panel-heading><h4><a class=panel-title href=https://cmlab.dev/post/hipsters_unite/>Expecting to be HIP (IV) - HIPsters Unite!</a><span class=pull-right><small><i class="glyphicon glyphicon-time"></i> Posted on Jul 24, 2017</small></span></h4><p class=text-muted>The Hawkes Intensity Process (HIP) inspired a small cascade of puns, and a research-team-in-uniform</p></div><div class=panel-body><p><h5 id=posted-by-_lexing-xie_-br->posted by <em>Lexing Xie</em><br></h5><p><img src=https://cmlab.dev/img/expecting_to_be_HIP/hipsters_all.png height=167><br></p></p><a class="btn-sm btn-readmore pull-right" href=https://cmlab.dev/post/hipsters_unite/>Read More <span class="glyphicon glyphicon-chevron-right"></span></a></div></div><div class="panel panel-default"><div class=panel-heading><h4><a class=panel-title href=https://cmlab.dev/post/promotability/>Expecting to be HIP (III) -- Examining the role of promotions</a><span class=pull-right><small><i class="glyphicon glyphicon-time"></i> Posted on Jun 12, 2017</small></span></h4><p class=text-muted>How much promotion is required, and why should one constantly promote?</p></div><div class=panel-body><p><h5 id=posted-by-_marian-andrei-rizoiu_--edited-by-_lexing-xie_-br->posted by <em>Marian-Andrei Rizoiu</em> , edited by <em>Lexing Xie</em><br></h5><img style=float:left src=https://cmlab.dev/img/promovability_study/expecting_to_be_hip_icon.png width=200 hspace=10 vspace=5><p>“The fundamental scarcity in the modern world is the scarcity of attention.” â Herbert A. Simon.</p><p>Human attention is a limited resource and influencing the mechanisms governing its allocation is the holy grail of advertisement. 45Our ICWSM'17 paper applies the recent <a href=https://cmlab.dev/post/expecting_to_be_HIP/>HIP popularity modeling</a> to further examine popularity under promotion and answer questions such as:</p><ul><li>How much promotion is required for this item to rise to the top 5% in popularity?</li><li>How fast will an item respond to a given amount of promotion?</li><li>Why is constant promotion desirable?</li></ul></p><a class="btn-sm btn-readmore pull-right" href=https://cmlab.dev/post/promotability/>Read More <span class="glyphicon glyphicon-chevron-right"></span></a></div></div></div><div class=col-md-3><div class=well><h4>Tags and Categories</h4><h5>Problems</h5><a class="label label-default" href=https://cmlab.dev/tags/social-media/>social media</a> 46<a class="label label-default" href=https://cmlab.dev/tags/popularity/>popularity</a> 47<a class="label label-default" href=https://cmlab.dev/tags/privacy/>privacy</a> 48<a class="label label-default" href=https://cmlab.dev/tags/language/>language</a> 49<a class="label label-default" href=https://cmlab.dev/tags/vision/>vision</a> 50<a class="label label-default" href=https://cmlab.dev/tags/citations/>citations</a><h5>Methods</h5><a class="label label-default" href=https://cmlab.dev/tags/deeplearning/>deep learning</a> 51<a class="label label-default" href=https://cmlab.dev/tags/stochastic-process/>stochastic process</a> 52<a class="label label-default" href=https://cmlab.dev/categories/visualization/>visualization</a><h5>Meta</h5><a class="label label-default" href=https://cmlab.dev/categories/research/>research</a> 53<a class="label label-default" href=https://cmlab.dev/categories/data/>data</a> 54<a class="label label-default" href=https://cmlab.dev/categories/code/>code</a> 55<a class="label label-default" href=https://cmlab.dev/tags/datasci/>datasci</a> 56<a class="label label-default" href=https://cmlab.dev/categories/news/>news</a> 57<a class="label label-default" href=https://cmlab.dev/categories/group-activity/>group-activity</a></div><div class="alert alert-info alert-dismissable"><button type=button class=close data-dismiss=alert aria-hidden=true>×</button><h5><strong>Getting in touch:</strong></h5><p>Drop us a line if you are interested in knowing more about our work, collaborating, 58or <a href=http://cm.cecs.anu.edu.au/recruiting/>joining</a> us.</p><p>The <a href=https://hmi.anu.edu.au/>humanising machine intelligence</a> project is recruiting 59two research fellows, see <a href=https://cm.cecs.anu.edu.au/post/hmi2rf/>here</a>.</p><p>We are not actively recruiting PhDs for 2021-2022, but if you have a strong track record 60and believe your interests and ours are a tight fit, 61feel free to drop us a line with your CV.</p></div></div></div><div class=row><div class=col-md-9><h3>Thanks</h3>Our work has been supported by <a href=https://www.nicta.com.au/>NICTA/Data61</a>, <a href=http://www.arc.gov.au/>The Australian Research Coucil</a>, <a href=https://twitter.com/AFOSR>
61AFOSR - Airforce Office of Scientific Research</a>, <a href=http://www.industry.gov.au/Pages/default.aspx>Australia Deparment of Industry, Innovation and Science</a>, <a href=http://www.d2dcrc.com.au>Data to Decision CRC</a>.</div></div><footer><div class=row><hr><div class=col-sm-12><p>© Computational Media Lab 2026 · 62With the help of <a href=https://github.com/spf13/hugo>Hugo</a> and <a href=https://github.com/lexingxie/cmLab>github</a>.</p></div></div></footer></div>
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78<script type=text/x-mathjax-config> 79 MathJax.Hub.Queue(function() { 80 // Fix <code> tags after MathJax finishes running. This is a 81 // hack to overcome a shortcoming of Markdown. Discussion at 82 // https://github.com/mojombo/jekyll/issues/199 83 var all = MathJax.Hub.getAllJax(), i; 84 for(i = 0; i < all.length; i += 1) { 85 all[i].SourceElement().parentNode.className += ' has-jax'; 86 } 87 }); 88 </script>
88<script type=text/javascript src=//cdn.jsdelivr.net/npm/[email protected]/slick/slick.min.js></script>
vendor: 1 bytes, line 88
88
89<script>let videos_to_add=['gos7Ab7b9iI','RXHIWLTwdbo','Dc9UfGmFrXs','_fpn02h3IUo','I_ksOv6rj1Y','eTn3rOPpx3o','lei1VOJbf40','8hAVa4LK254','BTkwk00gU0g','M01Yp3bfAvc'];$('.slider').append(videos_to_add.map(e=>`<iframe src="https://www.youtube.com/embed/${e}" title="YouTube video player" frameborder="3" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>`)),$('.slider').slick({dots:!0,infinite:!1,speed:200,slidesToShow:4,slidesToScroll:4,responsive:[{breakpoint:1024,settings:{slidesToShow:3,slidesToScroll:3,infinite:!0,dots:!0}},{breakpoint:600,settings:{slidesToShow:2,slidesToScroll:2}},{breakpoint:480,settings:{slidesToShow:1,slidesToScroll:1}}]})</script>
89<script type="module" src="https://static.cloudflareinsights.com/beacon.min.js/v31edd6df95cf4e85bb4c19e7a9bdbcba1788362987495" integrity="sha512-iIg7k2xntmwu6/uSb5tpc/hySgZc4eoL31yB29W6tJFo2akwjPWcEqnCEdJvGexCL0KEQwVYv5BlowfhVz26hg==" data-cf-beacon='{"version":"2024.11.0","token":"d805a1f01d6e4c7e8b8369ed8133d2e2","r":1,"spa":2}' crossorigin="anonymous"></script>
89 90</body></html>
Line numbers count LF bytes from the start of the resource, as the search results do. Vendor segments are library code the classifier recognised; they are stored but not indexed. Bytes are shown as Latin1 characters, one per byte.