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Artificial intelligence is a wrong definition of the technology
by qbelgianq＠gmail.com 31 May '23

31 May '23

Machine learning Data processing Disruptive innovation Software Integration Automation

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Artificial intelligence is a wrong definition of the technology
by brechtianfrolics＠gmail.com 19 May '23

19 May '23

Article on this topic Machine learning versus Artificial intelligence Artificial and Intelligence are two different types of definitions in which these two are used in a purely abstract context and not necessarily a good fit for the definition in this way of the use of this aspect of the world of software development that has been created by a self learning machine and is an excellent definition for the most sophisticated technology in all aspects of the industry of big data. Thus the term machine learning is a bit more to the point of this issue with definition of the technology

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Tech worldwide
by paul njoroge 16 Jan '23

16 Jan '23

Together on tech we can

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vyhoanganhkiet1991@wikimedia.org
by ViHoangAnhKiet ViHoangAnhKiet 30 Oct '22

30 Oct '22

vyhoanganhkiet1991(a)gmail.com

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ViHoangAnhKiet
by ViHoangAnhKiet ViHoangAnhKiet 30 Oct '22

30 Oct '22

vyhoanganhkiet1991(a)gmail.com

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Searching
by Casper Ghost 20 Sep '22

20 Sep '22

I'm subscribing in hopes that someone can please help me understand why the world hates me. Everyone but me knows what's going on with my life. Why? What was on the sd card that got me into this? What did I do to anyone to deserve all this? All I want is answers I'm tired of not knowing but everyone else does

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2nd CFP: FIRE track on Information Retrieval from Microblogs during Disasters (IRMiDis)
by Kripa Ghosh 21 Jun '22

21 Jun '22

*** Apologies for multiple posting *** *Information Retrieval from Microblogs during Disasters (IRMiDis)* https://sites.google.com/view/irmidis-fire2022/irmidis Track in conjunction with FIRE 2022 (http://fire.irsi.res.in/fire/2022/home), December 9-13, 2022, Kolkata (Hybrid Event) The IRMiDis track aims to develop datasets and methods for solving various practical research problems associated with a disaster or pandemic situation. The IRMiDis track has been run successfully with FIRE in the years 2017, 2018 and 2021. This year IRMiDis will consist of two important classification tasks over microblogs/tweets associated with the COVID-19 pandemic: (1) classifying tweets according to their vaccine-related sentiment (pro-vaccine, neutral, anti-vaccine) (2) identifying tweets that mention someone experiencing COVID-19 symptoms, which is useful for detecting upcoming surges in COVID cases For both tasks, we will provide training data annotated by human workers, and test data for evaluating the submitted models. *All participating teams will get to publish a working notes paper in the FIRE workshop proceedings. The two best-performing teams in each task will be awarded winner and runner-up certificates, and their names will be put up on the track website.* Training data has already been released. Participating teams need to submit runs by August 1. More details on how to participate are on the IRMiDis site: https://sites.google.com/view/irmidis-fire2022/irmidis. Kind Regards, *Kripabandhu Ghosh* Co-organizer IRMiDis

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PhD vacancy: Responsible Natural Language Processing and Machine Learning for Healthcare.
by Iacer Calixto 08 Jun '22

08 Jun '22

*** Apologies for cross-posting *** Dear colleagues, We have a fully-funded PhD position in the exciting area of Responsible Natural Language Processing and Machine Learning for Healthcare in the Amsterdam UMC <https://www.amsterdamumc.org/en/research.htm> at the University of Amsterdam <https://www.uva.nl/en>! Do you have a strong background in NLP and AI, and a keen interest in applications in healthcare, multilingual language models and model interpretability? Please consider applying, we are accepting applications until June 12, 2022! A few of the exciting projects you can contribute to include developing technology to predict risk of cancer from patients’ medical notes, and risk of developing mental disorders from electronic patient records and other non-clinical data (e.g., social media). The PhD will be jointly supervised by myself <https://iacercalixto.github.io/> and prof. Ameen Abu-Hanna <https://kik.amc.nl/home/aabuhanna/>! Apply here: https://werkenbij.amsterdamumc.org/en/vacatures/research/phd-natural-langua… (Please feel free to share with your students/communities) Have a great week, Iacer. *Iacer Calixto* | Assistant Professor of Artificial Intelligence in Medicine | Department of Medical Informatics, Amsterdam UMC, University of Amsterdam i.coimbra(a)amsterdamumc.nl | iacer.calixto(a)uva.nl | iacercalixto.github.io. <http://iacercalixto.github.io/> Member of the ACL <https://www.aclweb.org/portal/> and the ELLIS Society <https://ellis.eu/>.

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CFP: FIRE track on Information Retrieval from Microblogs during Disasters (IRMiDis)
by Kripa Ghosh 07 Jun '22

07 Jun '22

*** Apologies for multiple posting *** Information Retrieval from Microblogs during Disasters (IRMiDis)https://sites.google.com/view/irmidis-fire2022/irmidis Track in conjunction with the Annual Conference of the Forum for Information Retrieval Evaluation (FIRE 2022 - http://fire.irsi.res.in/fire/2022/home), December 9-13, 2022, Kolkata (Hybrid Event) The Information Retrieval from Microblogs during Disasters (IRMiDis) track aims to develop datasets and methods for solving various practical research problems associated with a disaster or pandemic situation. The IRMiDis track has been run successfully with FIRE in the years 2017, 2018 and 2021. This year IRMiDis will consist of two important classification tasks over microblogs/tweets associated with the COVID-19 pandemic. *** Task 1: COVID-19 vaccine stance classification from tweets *** It is important to understand the vaccine-stance of people in order to nudge people towards intake of COVID vaccines. With this motivation, this task aims to build an effective 3-class classifier on tweets with respect to the stance reflected towards COVID-19 vaccines. The 3 classes are: (1) AntiVax - the tweet indicates hesitancy (of the user who posted the tweet) towards the use of vaccines. (2) ProVax - the tweet supports / promotes the use of vaccines. (3) Neutral - the tweet does not have any discernible sentiment expressed towards vaccines or is not related to vaccines *** Task 2: Detection of COVID-19 symptom-reporting in tweets *** Quickly identifying people who are experiencing COVID-19 symptoms is important for authorities to arrest the spread of the disease. In this task, we explore if tweets that report about someone experiencing COVID-19 symptoms (e.g., 'fever', 'cough') can be automatically identified. The task is to build an 4-class classifier on tweets that can detect tweets that report someone experiencing COVID-19 symptoms. The 4 classes are: (1) Primary Reporting - The user (who posted the tweet) is reporting symptoms of himself/herself. (2) Secondary Reporting - The user is reporting symptoms of some friend / relative / neighbour / someone they met. (3) Third-party Reporting - The user is reporting symptoms of some celebrity / third-party person. (4) Non-Reporting - The user is not reporting anyone experiencing COVID-19 symptoms, but talking about symptom-words in some other context or giving only general information about COVID-19 symptoms. For both tasks, we will provide training data annotated by human workers, and test data for evaluating the submitted models. Details of how to participate are available at https://sites.google.com/view/irmidis-fire2022/irmidis. *** Timeline *** June 6 -- open track website and training data release July 15 -- test data release August 1 -- run submission deadline August 15 -- results declared September 15 -- Working notes due October 15 -- Camera ready copies of working notes and overview paper due *** Organisers *** Moumita Basu, Amity University Kolkata, India Soham Poddar, Indian Institute of Technology Kharagpur, India Saptarshi Ghosh, Indian Institute of Technology Kharagpur, India Kripabandhu Ghosh, Indian Institute of Science Education and Research, Kolkata, India Kind Regards, *Kripabandhu Ghosh* Co-organizer IRMiDis

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CFP: Symposium on Artificial Intelligence and Law (SAIL 2022)
by Kripa Ghosh 25 May '22

25 May '22

[apologies for cross-posting ] *Symposium on Artificial Intelligence and Law (SAIL 2022)* June 6–9, 2022 | Virtual event https://sites.google.com/view/sail-2022/ CALL FOR PARTICIPATION The 2nd edition of the Symposium on Artificial Intelligence and Law (SAIL 2022) aims to bring together experts from Industry and Academia to discuss the future of AI and Law. The Symposium aims to provide a venue for AI-Law researchers and Law practitioners to present and discuss research results, use cases, innovative ideas, challenges, and opportunities that arise from applications of AI in the Legal Domain. The Symposium is being organized by AI researchers from IIT Kharagpur, IIT Kanpur, IIT(ISM) Dhanbad, IISER Kolkata, TCG CREST, CSIRO Australia, University of Glasgow, University College London, and Law researchers from WBNUJS, Kolkata, India. == Invited talks == The symposium will have invited talks from the following eminent researchers: * Bruce Hedin - President and Director of Science, Technology, and Ethics Consulting, Hedin B Consulting, USA * Elliot Ash - Assistant Professor of Law, Economics, and Data Science at ETH Zurich's Center for Law & Economics, Switzerland * Graham McDonald - Lecturer, School of Computing Science, University of Glasgow, Scotland * Karl Branting - Chief Scientist, Machine Learning for Computational Law, The MITRE Corporation, USA * Ken Satoh - Professor, National Institute of Informatics, Japan * Michal Araszkiewicz - Department of Legal Theory, Jagiellonian University, Poland; Partner at Araszkiewicz Cichoń Araszkiewicz Law Firm, Poland * Tom Vacek - Senior Research Scientist, Thomson Reuters, USA * Trevor J.M. Bench-Capon - Honorary Visiting Professor, Department of Computer Science, University of Liverpool, UK Details are available on the symposium website https://sites.google.com/view/sail-2022/. == Participation (virtual) == Anyone interested in Law or application of AI in the legal domain is welcome to attend. Participation is free of cost, but prior registration is necessary on the symposium website (see under the "Participate" tab) by June 2. Kind Regards, *Kripabandhu Ghosh* Co-organizer SAIL 2022

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