{"id":219,"date":"2021-01-18T14:38:26","date_gmt":"2021-01-18T14:38:26","guid":{"rendered":"https:\/\/staffblogs.le.ac.uk\/archiscan\/?p=219"},"modified":"2025-02-26T13:30:16","modified_gmt":"2025-02-26T13:30:16","slug":"celebrating-end-of-the-year-successes","status":"publish","type":"post","link":"https:\/\/staffblogs.le.ac.uk\/archiscan\/2021\/01\/18\/celebrating-end-of-the-year-successes\/","title":{"rendered":"Celebrating End-of-the-Year Successes"},"content":{"rendered":"\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>With the start of a new year comes a renewed optimism and hope for better times, and the transition from 2020 to 2021 has been no exception (to say the very least). Still, as we usher in a new year it\u2019s also important to reflect on the good things that happened in the old. In this blog post, we share and celebrate a few end-of-the-year accomplishments for the Arch-I-Scan team.<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p><\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><em>Arch-I-Scan at the CAA Conference<\/em><\/h4>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>Dr. Dani\u00ebl van Helden, our Archaeology postdoctoral research associate, presented a paper at the digital joint meeting of the Dutch-and-Flemish and German chapters of the CAA (Computer Applications &amp; Quantitative Methods in Archaeology). On behalf of himself and his colleagues, Professor Penelope Allison, Professor Ivan Tyukin, and Dr. Santos Nu\u00f1ez Jare\u00f1o, Daan gave a paper entitled \u2018AI in times of COVID: Creating quality pottery shape simulations for pre-training Machine Learning Pottery Image Classifiers: processes in the Arch-I-Scan project\u2019. <\/p>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>It was an opportunity to share with the academic community the flexibility of the project during Covid-19. Given that the pandemic thwarted many of our plans to travel to archaeological repositories for data collection with the help of volunteers, our mathematicians (or as Daan likes to call them, our \u2018mathemagicians\u2019) instead experimented with simulated terra sigillata vessels to pre-train the Arch-I-Scan classifier. The paper was very positively received, and the presented approach means that there is some hope that we may be able to find COVID-proof ways of moving the project forward.<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<figure class=\"wp-block-gallery aligncenter columns-1 is-cropped wp-block-gallery-1 is-layout-flex wp-block-gallery-is-layout-flex\"><ul class=\"blocks-gallery-grid\"><li class=\"blocks-gallery-item\"><figure><img loading=\"lazy\" decoding=\"async\" width=\"1003\" height=\"131\" src=\"https:\/\/staffblogs.le.ac.uk\/archiscan\/files\/2021\/01\/CAA-logo.png\" alt=\"\" data-id=\"221\" data-full-url=\"https:\/\/staffblogs.le.ac.uk\/archiscan\/files\/2021\/01\/CAA-logo.png\" data-link=\"https:\/\/staffblogs.le.ac.uk\/archiscan\/?attachment_id=221\" class=\"wp-image-221\" srcset=\"https:\/\/staffblogs.le.ac.uk\/archiscan\/files\/2021\/01\/CAA-logo.png 1003w, https:\/\/staffblogs.le.ac.uk\/archiscan\/files\/2021\/01\/CAA-logo-300x39.png 300w, https:\/\/staffblogs.le.ac.uk\/archiscan\/files\/2021\/01\/CAA-logo-768x100.png 768w\" sizes=\"auto, (max-width: 1003px) 100vw, 1003px\" \/><\/figure><\/li><\/ul><figcaption class=\"blocks-gallery-caption\"><em>The logo of the Computer Applications &amp; Quantitative Methods in Archaeology organisation.<\/em><\/figcaption><\/figure>\n\n\n\n<div style=\"height:36px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p><\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><em>Co-Investigator Professor Ivan Tyukin: Turing AI Fellowship Recipient<\/em><\/h4>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"alignleft size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/staffblogs.le.ac.uk\/archiscan\/files\/2021\/01\/Team_Image-2.jpeg\" alt=\"\" class=\"wp-image-223\" width=\"205\" height=\"205\" srcset=\"https:\/\/staffblogs.le.ac.uk\/archiscan\/files\/2021\/01\/Team_Image-2.jpeg 512w, https:\/\/staffblogs.le.ac.uk\/archiscan\/files\/2021\/01\/Team_Image-2-300x300.jpeg 300w, https:\/\/staffblogs.le.ac.uk\/archiscan\/files\/2021\/01\/Team_Image-2-150x150.jpeg 150w\" sizes=\"auto, (max-width: 205px) 100vw, 205px\" \/><figcaption><em>Professor Ivan Tyukin, Co-investigator for the Arch-I-Scan project has recently been named the recipient of a prestigious Turing AI Acceleration Fellowship.<\/em><\/figcaption><\/figure><\/div>\n\n\n\n<p>At the end of November 2020, it was officially announced that Professor Ivan Tyukin, Co-Investigator for the Arch-I-Scan project, would receive of one of fifteen prestigious Turing AI Acceleration Fellowships awarded by the UK Research and Innovation (UKRI). This fellowship officially recognises and supports his ongoing work in developing \u2018adaptive, resilient, robust, explainable, trustworthy, and certifiable\u2019 AI. When interviewed about this award, Ivan noted that \u2018This fellowship will enable me to work with a world-class team of experts and stakeholders to develop and showcase much-needed solutions to challenges in healthcare, security, space, and manufacturing sectors.\u2019 Ivan, who is a professor of Applied Mathematics at the University of Leicester, as well as Head of the university\u2019s Visual Intelligence Lab, has been also using his expertise in artificial intelligence to attack challenges in the field of archaeology; alongside his new research, he will continue to supervise the machine-learning aspect of the Arch-I-Scan project. The entire team is very proud of this immense accomplishment!<\/p>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>The University of Leicester press-release for his fellowship can be found <a href=\"https:\/\/le.ac.uk\/news\/2020\/november\/professor-awarded-prestigious-turing-ai-fellowship\" data-type=\"URL\" data-id=\"https:\/\/le.ac.uk\/news\/2020\/november\/professor-awarded-prestigious-turing-ai-fellowship\">here<\/a>. More information on the Turing Fellowship, as well as the full list of UK fellows can be found on the UKRI webpage <a href=\"https:\/\/www.ukri.org\/news\/new-turing-ai-fellows-to-deliver-world-class-ai-research\/\" data-type=\"URL\" data-id=\"https:\/\/www.ukri.org\/news\/new-turing-ai-fellows-to-deliver-world-class-ai-research\/\">here<\/a>.<\/p>\n\n\n\n<div style=\"height:36px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h4 class=\"wp-block-heading\"><em>Images of Research<\/em><\/h4>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>On December 2<sup>nd<\/sup>, the University of Leicester Doctoral College held its 5<sup>th<\/sup> annual <em>Images of Research<\/em> competition. This competition invites university researchers of all levels \u2013 PGRs through to Principal Investigators \u2013 to communicate their research in a single image. The event is meant to showcase the breadth and quality of research at the university in a dynamic, visual way. From 47 initial submissions, the organisers in the Doctoral College selected 22 finalist images to be later placed on public (albeit digital) display. During the online showcase event, official judges, university staff, students and members of the public were able to enjoy the images and vote for their favourites. More than 500 persons were in attendance this year.<\/p>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p><\/p>\n\n\n\n<p>The Arch-I-Scan project\u2019s research assistant, Victoria, submitted a photo on behalf of the entire team. The entry (reproduced below) was entitled \u2018Feeding the Machine\u2019 and received a <em>University of Leicester Institute for Advanced Studies Interdisciplinary Prize<\/em>. Although official recognition in the form of a prize was great, the experience was especially rewarding since it allowed the team to broadcast the project to so many new people. If you are interested in viewing the project\u2019s official entry with caption, as well as the other 21 finalist entries, click <a href=\"https:\/\/le.ac.uk\/research\/images-of-research\" data-type=\"URL\" data-id=\"https:\/\/le.ac.uk\/research\/images-of-research\">here<\/a>.<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/staffblogs.le.ac.uk\/archiscan\/files\/2021\/01\/Arch-I-Scan_Images-of-Research_Image.jpg\" alt=\"\" class=\"wp-image-222\" width=\"395\" height=\"297\" srcset=\"https:\/\/staffblogs.le.ac.uk\/archiscan\/files\/2021\/01\/Arch-I-Scan_Images-of-Research_Image.jpg 968w, https:\/\/staffblogs.le.ac.uk\/archiscan\/files\/2021\/01\/Arch-I-Scan_Images-of-Research_Image-300x225.jpg 300w, https:\/\/staffblogs.le.ac.uk\/archiscan\/files\/2021\/01\/Arch-I-Scan_Images-of-Research_Image-768x576.jpg 768w\" sizes=\"auto, (max-width: 395px) 100vw, 395px\" \/><figcaption><em>The Arch-I-Scan&#8217;s entry to the 2020 &#8216;Images of Research&#8217; competition depicts the process of scanning Samian ware vessels in the Museum of London archives.<\/em><\/figcaption><\/figure><\/div>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>These successes were wonderful ways to wrap up 2020 for the Arch-I-Scan team. We\u2019re looking forward to more good things to come in 2021, which hopefully includes resuming scanning activities when it is safe and possible to do so.<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"200\" height=\"50\" src=\"https:\/\/staffblogs.le.ac.uk\/archiscan\/files\/2020\/11\/AHRC.png\" alt=\"\" class=\"wp-image-145\" \/><\/figure><\/div>\n","protected":false},"excerpt":{"rendered":"<p>With the start of a new year comes a renewed optimism and hope for better times, and the transition from 2020 to 2021 has been no exception (to say the very least). Still, as we usher in a new year it\u2019s also important to reflect on the good things that happened in the old. 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