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Letteratura scientifica selezionata sul tema "AI-2"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 9 giugno 2025

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Articoli di riviste sul tema "AI-2"

Cheng, Jun. "(Invited) Towards AI² Electrochemistry(AI² = AI × ab initio)." ECS Meeting Abstracts MA2024-02, no. 61 (November 22, 2024): 4097. https://doi.org/10.1149/ma2024-02614097mtgabs.

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It is known that electrode materials undergo dynamic structural changes at in-situ/in-operando conditions. Yet, the majority of computational studies only consider the static structures of electrode materials. When the materials are submerged in liquid solution, dynamic solvation effects are often completely ignored, or treated with dielectric continuum models, often lacking validation. The situations are about to change. Thanks to the latest development of in-situ experimental techniques and state-of-the-art computational methods, dynamics of electrode materials has recently drawn more and more attentions in many research areas. In this talk, I will present our recent progress on modeling dynamic catalysis and electrochemistry using ab initio molecular dynamics (AIMD). The high computational cost of AIMD however limits its application to small model systems consisting of hundreds of atoms at timescale of tens of ps. While, the latest development of AI accelerated AIMD (AI2MD) significantly increases the size and timescale, showing great promise for in situ modeling of realistic electrochemical systems.

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Matsuo, Tatsuru, Masaru Todoriki, and Shin-ichiro Tago. "2. Explainable AI." Journal of The Institute of Image Information and Television Engineers 74, no. 1 (2020): 30–34. http://dx.doi.org/10.3169/itej.74.30.

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Janssen, T. "SP-0541 AI^2: When the AI checks the AI." Radiotherapy and Oncology 182 (May 2023): S427. http://dx.doi.org/10.1016/s0167-8140(23)67400-6.

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Nitta, Hajime Yoshinoand Katsumi. "AI and Law (2)." Journal of Advanced Computational Intelligence and Intelligent Informatics 2, no. 1 (February 20, 1998): 1. http://dx.doi.org/10.20965/jaciii.1998.p0001.

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In the last issue (Vol.1, No.2), we introduced the Legal Expert System (LES) project led by Hajime Yoshino of Meiji Gakuin University, presenting six papers on the LES project. Those papers were mainly related to higher order reasoning systems such as ase-based reasoning, abductive and inductive logic programming, nonmonotonic reasoning, and analogical reasoning. The objective of the LES project was to develop a legal expert system effective for use by lawyers, so the project covers inference mechanisms, analysis of legal knowledge, and user interfaces. In this second special issue on the LES project, we present five more papers, mainly related to the analysis of legal knowledge, legal knowledge representation language, and legal reasoning system user interfaces. Hajime Yoshino analyzes the logical structure of contract law. To develop a knowledge base for the United Nations Convention on Contracts for the International Sale of Goods (CISG), he proposes a clear logical model of the contract law system, which treats relations between events and legal status such as rights and obligations. Yoshino demonstrates that legal metarules are effective in constructing deductive legal reasoning systems, and are appropriate from the viewpoint of jurisprudence. Seiichiro Sakurai discusses the logical features of the legal knowledge representation language, CPF, developed by Hajime Yoshino. CPF is a logic programming language that enhances the representation of complex data structures. CPF is a convenient tool for representing legal knowledge, yet lawyers often attempt to describe nonexecutable forms of CPF rules.Sakurai introduces a way to construct an executable knowledge base from lawyers' CPF rules. Masato Shibasaki and Katsumi Nitta introduce a new framework to formalize nonmonotonic reasoning with dynamic priorities. The several frameworks proposed thus far to model relationships among arguments do not treat complex arguments, composed of strict rules and default rules. They show that the new framework represents such relationships and analyze these relationships for this framework and others. Takashi Miyata and Yuji Matsumoto introduce LES natural language generation using a user interface for lawyers rather than computer scientists. They describe a sentence generation system that translates logical forms provided from an inference engine into natural-language sentences, and present the unification grammar, generation algorithm and graphical debugging tool. To develop a knowledge base, the lawyers of the LES project analyze and represents the relationships between requirements (actions or events) and consequences (legal status) of legal rules in the form of logical flowcharts. Once the appropriateness of a flowchart is confirmed, they convert it to a CPF rule in their knowledge base. Koji Miyagi, Motoki Miura and Jiro Tanaka developed a flowchart editor that makes legal flowcharting easier. To make it easier to decide where to locate flowchart components and draw linens between the components, the editor possesses several algorithms.

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Eaton, Eric, and Amy McGovern. "Welcome to AI Matters, volume 2, issue 2." AI Matters 2, no. 2 (January 11, 2016): 3. http://dx.doi.org/10.1145/2847557.2847558.

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ปากดี, สุพัตรา, та ธีระภาพ เพชรมาลัยกุล. "แนวทางการประยุกต์ใช้ปัญญาประดิษฐ์ (AI) ในการจัดการศึกษา สังกัดสำนักงานเขตพื้นที่การศึกษามัธยมศึกษากรุงเทพมหานคร เขต 2". Interdisciplinary Academic and Research Journal 4, № 6 (7 грудня 2024): 555–72. https://doi.org/10.60027/iarj.2024.278760.

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ภูมิหลังและวัตถุประสงค์: การจัดการศึกษาเป็นกระบวนการสำคัญในการพัฒนาผู้เรียนให้มีคุณภาพและทักษะในศตวรรษที่ 21 เพื่อตอบสนองต่อการเปลี่ยนแปลงของโลกยุคดิจิทัล การนำเทคโนโลยีดิจิทัลมาประยุกต์ใช้ในด้านการศึกษาจะช่วยเพิ่มประสิทธิภาพการเรียนรู้ของผู้เรียน ปัญญาประดิษฐ์เป็นอีกหนึ่งเทคโนโลยีที่สามารถยกระดับคุณภาพการศึกษา ช่วยปรับปรุงกระบวนการเรียนการสอนและการบริหารจัดการงานต่าง ๆ ในสถานศึกษา วิจัยครั้งนี้จึงมีวัตถุประสงค์เพื่อ 1) เพื่อศึกษาการประยุกต์ใช้ปัญญาประดิษฐ์ (AI) ในการจัดการศึกษา สังกัดสํานักงานเขตพื้นที่การศึกษามัธยมศึกษากรุงเทพมหานคร เขต 2 2) เพื่อวิเคราะห์และเสนอแนวทางการประยุกต์ใช้ปัญญาประดิษฐ์ (AI) ในการจัดการศึกษา สังกัดสํานักงานเขตพื้นที่การศึกษามัธยมศึกษากรุงเทพมหานคร เขต 2 ระเบียบวิธีการวิจัย: การวิจัยนี้เป็นการวิจัยเชิงคุณภาพ (Qualitative Research) ผู้วิจัยใช้วิธีการสัมภาษณ์เชิงลึก (In-depth interview) เป็นรายบุคคลจากผู้ให้ข้อมูลสำคัญ (Key informants) คือ 1) ผู้เชี่ยวชาญทางด้านปัญญาประดิษฐ์ 2) ศึกษานิเทศ 3) ผู้บริหารสถานศึกษา 4) ครู รวมทั้งสิ้น 6 คน) ผู้วิจัยใช้วิธีการเลือกกลุ่มตัวอย่างแบบเจาะจง ทั้งนี้ผู้วิจัยสัมภาษณ์ผู้ให้ข้อมูลจนกว่าจะได้ข้อมูลที่อิ่มตัว (Data saturation) โดยไม่พบข้อสงสัยหรือไม่มีข้อมูลใหม่เกิดขึ้น ผลการวิจัย: (1) ผลการศึกษาการประยุกต์ใช้ปัญญาประดิษฐ์ (AI) ในการจัดการศึกษา สังกัดสํานักงานเขตพื้นที่การศึกษามัธยมศึกษากรุงเทพมหานคร เขต 2 ประกอบด้วย 1) ศักยภาพของปัญญาประดิษฐ์ในการจัดการศึกษา ได้แก่ อำนวยความสะดวกและเพิ่มประสิทธิภาพในการทำงาน ปรับปรุงกระบวนการสอนของครู และส่งเสริมการเรียนรู้และพัฒนาศักยภาพของผู้เรียน และ 2) ลักษณะการประยุกต์ใช้ปัญญาประดิษฐ์ในการจัดการศึกษา สามารถแบ่งออกเป็น 2 ด้าน คือ การประยุกต์ใช้ปัญญาประดิษฐ์ในด้านการจัดการเรียนการสอน ได้แก่ การออกแบบกิจกรรมการเรียนรู้ การจัดกิจกรรมการเรียนรู้ การสร้างสื่อการเรียนรู้ การวัดและประเมินผล การวิเคราะห์ผู้เรียนรายบุคคล และหลักสูตรห้องเรียนพิเศษปัญญาประดิษฐ์ และ การประยุกต์ใช้ปัญญาประดิษฐ์ในด้านการบริหารจัดการสถานศึกษา ได้แก่ การประยุกต์ใช้ปัญญาประดิษฐ์ในระบบบันทึกเวลาเข้า-ออกสถานศึกษา ระบบดูแลช่วยเหลือนักเรียน การวางแผนจัดอัตรากำลัง ระบบงานประกันคุณภาพการศึกษา ระบบงานสารบรรณ การบริหารงานงบประมาณ (2) ผลการวิเคราะห์และเสนอแนวทางการประยุกต์ใช้ปัญญาประดิษฐ์ (AI) ในการจัดการศึกษา สังกัดสํานักงานเขตพื้นที่การศึกษามัธยมศึกษากรุงเทพมหานคร เขต 2 ประกอบด้วย 1) การเตรียมความพร้อมการประยุกต์ใช้ปัญญาประดิษฐ์ในการจัดการศึกษา ได้แก่ การเตรียมความพร้อมด้านการกำหนดนโยบาย ด้านบุคลากร ด้านข้อมูล และด้านเทคโนโลยี และ 2) ข้อควรพิจารณาในการประยุกต์ใช้ปัญญาประดิษฐ์ในการจัดการศึกษา มีข้อควรพิจารณา 6 ประการ ได้แก่ งบประมาณในการนำปัญญาประดิษฐ์มาประยุกต์ใช้ การมีจริยธรรมในการประยุกต์ใช้ปัญญาประดิษฐ์ ความเป็นส่วนตัวและความปลอดภัยของข้อมูล ขอบเขตการประยุกต์ใช้ปัญญาประดิษฐ์ ข้อจำกัดในการทำงานของปัญญาประดิษฐ์ และความคุ้มค่าในการนำปัญญาประดิษฐ์มาประยุกต์ใช้ สรุปผล: การศึกษาแนวทางการประยุกต์ใช้ปัญญาประดิษฐ์ (AI) ในการจัดการศึกษา สังกัดสำนักงานเขตพื้นที่การศึกษามัธยมศึกษากรุงเทพมหานคร เขต 2 ผู้วิจัยสามารถสรุปผลการวิจัยได้ดังนี้ (1) ผลการศึกษาการประยุกต์ใช้ปัญญาประดิษฐ์ (AI) ในการจัดการศึกษา สังกัดสํานักงานเขตพื้นที่การศึกษามัธยมศึกษากรุงเทพมหานคร เขต 2 ประกอบด้วย 1) ศักยภาพของปัญญาประดิษฐ์ในการจัดการศึกษา ได้แก่ อำนวยความสะดวกและเพิ่มประสิทธิภาพในการทำงาน ปรับปรุงกระบวนการสอนของครู และส่งเสริมการเรียนรู้และพัฒนาศักยภาพของผู้เรียน และ 2) ลักษณะการประยุกต์ใช้ปัญญาประดิษฐ์ในการจัดการศึกษา สามารถแบ่งออกเป็น 2 ด้าน คือ การประยุกต์ใช้ปัญญาประดิษฐ์ในด้านการจัดการเรียนการสอน ได้แก่ การออกแบบกิจกรรมการเรียนรู้ การจัดกิจกรรมการเรียนรู้ การสร้างสื่อการเรียนรู้ การวัดและประเมินผล การวิเคราะห์ผู้เรียนรายบุคคล และหลักสูตรห้องเรียนพิเศษปัญญาประดิษฐ์ และ การประยุกต์ใช้ปัญญาประดิษฐ์ในด้านการบริหารจัดการสถานศึกษา ได้แก่ การประยุกต์ใช้ปัญญาประดิษฐ์ในระบบบันทึกเวลาเข้า-ออกสถานศึกษา ระบบดูแลช่วยเหลือนักเรียน การวางแผนจัดอัตรากำลัง ระบบงานประกันคุณภาพการศึกษา ระบบงานสารบรรณ การบริหารงานงบประมาณ (2) ผลการวิเคราะห์และเสนอแนวทางการประยุกต์ใช้ปัญญาประดิษฐ์ (AI) ในการจัดการศึกษา สังกัดสํานักงานเขตพื้นที่การศึกษามัธยมศึกษากรุงเทพมหานคร เขต 2 ประกอบด้วย 1) การเตรียมความพร้อมการประยุกต์ใช้ปัญญาประดิษฐ์ในการจัดการศึกษา ได้แก่ การเตรียมความพร้อมด้านการกำหนดนโยบาย ด้านบุคลากร ด้านข้อมูล และด้านเทคโนโลยี และ 2) ข้อควรพิจารณาในการประยุกต์ใช้ปัญญาประดิษฐ์ในการจัดการศึกษา มีข้อควรพิจารณา 6 ประการ ได้แก่ งบประมาณในการนำปัญญาประดิษฐ์มาประยุกต์ใช้ การมีจริยธรรมในการประยุกต์ใช้ปัญญาประดิษฐ์ ความเป็นส่วนตัวและความปลอดภัยของข้อมูล ขอบเขตการประยุกต์ใช้ปัญญาประดิษฐ์ ข้อจำกัดในการทำงานของปัญญาประดิษฐ์ และความคุ้มค่าในการนำปัญญาประดิษฐ์มาประยุกต์ใช้

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Karpatne, Anuj, and Ziyu Yao. "Welcome to AI matters 8(2)." AI Matters 8, no. 2 (June 2022): 3. http://dx.doi.org/10.1145/3557785.3557786.

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Welcome to the second issue of this year's AI Matters Newsletter. We open with a conference report by Louise Dennis, followed by a summary of events happening during 2022-2023 by Dilini Samarasinghe. This third article is a collection of responses to blue sky questions about AI education from the AAAI/ACM SIGAI New and Future AI Educator Program. Finally, the last issue by Register et al. discusses the pillars of joy and justice for AI, Machine Learning, and Data Science education.

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Pereira, Catarina S., J. Randall McAuley, Michiko E. Taga, Karina B. Xavier, and Stephen T. Miller. "Sinorhizobium meliloti, a bacterium lacking the autoinducer-2 (AI-2) synthase, responds to AI-2 supplied by other bacteria." Molecular Microbiology 70, no. 5 (December 2008): 1223–35. http://dx.doi.org/10.1111/j.1365-2958.2008.06477.x.

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Leite, Iolanda, and Anuj Karpatne. "Welcome to AI Matters 7(2)." AI Matters 7, no. 2 (June 2021): 3–4. http://dx.doi.org/10.1145/3478369.3478370.

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Welcome to the second issue of this year's AI Matters Newsletter. We start with a report on upcoming SIGAI Events by Dilini Samarasinghe and Conference reports by Louise Dennis, our conference coordination officer. In our regular Education column, Carolyn Rosé discusses the role of AI in education in a post-pandemic reality. We then bring you our regular Policy column, where Larry Medsker covers interesting and timely discussions on AI policy, for example whether governments should play a role in reducing algorithmic bias. This issue closes with an article contribution from Li Dong, one of the runner-ups in the latest AAIS/SIGAI dissertation award, on the use neural models to build natural language interfaces.

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McGovern, Amy, and Iolanda Leite. "Welcome to AI matters 5(2)." AI Matters 5, no. 2 (August 5, 2019): 3. http://dx.doi.org/10.1145/3340470.3340471.

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Più fonti

Tesi sul tema "AI-2"

Wang, Liang. "Autoinducer-2 (AI-2) mediated quorum sensing in Escherichia coli." College Park, Md. : University of Maryland, 2004. http://hdl.handle.net/1903/2157.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2004. Thesis research directed by: Cell Biology & Molecular Genetics. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.

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Carter, Kirk. "An AI performance benchmark for the ncube 2." Honors in the Major Thesis, University of Central Florida, 1993. http://digital.library.ucf.edu/cdm/ref/collection/ETH/id/110.

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This item is only available in print in the UCF Libraries. If this is your Honors Thesis, you can help us make it available online for use by researchers around the world by following the instructions on the distribution consent form at http://library.ucf.edu/Systems/DigitalInitiatives/DigitalCollections/InternetDistributionConsentAgreementForm.pdf You may also contact the project coordinator, Kerri Bottorff, at kerri.bottorff@ucf.edu for more information. Bachelors Engineering Electrical Engineering

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Kim, Sun Ho. "Role of AI-2 in oral biofilm formation using microfluidic devices." [College Station, Tex. : Texas A&M University, 2008. http://hdl.handle.net/1969.1/ETD-TAMU-2665.

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GEORGEAUD, VALERIE. "Identification d'un domaine de liaison de l'apolipoproteine ai aux cellules d'hepatome humain hepg 2." Toulouse 3, 2000. http://www.theses.fr/2000TOU30100.

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Les lipoproteines de haute densite (hdl) participent a l'homeostasie du cholesterol cellulaire en assurant le processus de son transport retour des tissus peripheriques vers le foie ou il peut etre elimine par les voies biliaires. C'est notamment grace a cette fonction d'epuration du cholesterol que l'on attribue aux hdl un role protecteur vis-a-vis des maladies cardiovasculaires. Si l'interaction specifique des hdl avec le tissu hepatique est communement admise, l'identification d'un domaine proteique de liaison au sein des hdl reste sujette a controverse. Nous avons precedemment decrit l'existence de deux familles de sites de liaison, de haute et basse affinite, pour les hdl3 sur une lignee cellulaire d'hepatocarcinome humain (hepg2), et l'implication de l'apolipoproteine ai (apo ai), proteine majoritaire des hdl, dans cette interaction. Afin d'identifier un domaine de liaison, les cellules hepg2 ont ete utilisees comme matrice d'affinite dans des etudes d'association dissociation de fragments trypsiques d'hdl3, permettant ainsi d'isoler et de caracteriser un peptide couvrant la region 62-77 de l'apo ai. Les parametres de liaison du peptide synthetique correspondant traduisent une interaction de haute affinite comparable a celle de l'apo ai libre. Les experiences de competitions croisees entre ce peptide et l'apo ai confirment qu'ils partagent les memes sites de liaison sur les cellules hepg2. Par ailleurs ces sites ne semblent pas impliquer le recepteur sr-bi (scavenger receptor class b type 1) recemment identifie, puisque aucune liaison specifique de ce peptide n'est observee sur des cellules epitheliales surexprimant ce recepteur. Cependant, le maintien apparent d'une liaison aux cellules hepg2 de l'apo ai deletee de la region 62-77 ne permet pas de conclure a l'unicite de ce domaine, et suggere l'existence d'un domaine de liaison redondant au sein de l'apolipoproteine. La presence de sequences consensus au sein de l'apo ai permet d'etayer cette hypothese.

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Stambrau, Nina. "Der LuxP/AI-2- und LuxQ-abhängige Signaltransduktionsweg des Quorum sensing-Systems von V. harveyi." Diss., lmu, 2008. http://nbn-resolving.de/urn:nbn:de:bvb:19-103233.

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Yang, Jung Woo. "Enhanced bioethanol production by Zymomonas mobilis in response to the quorum sensing molecules AI-2." Thesis, Durham University, 2011. http://etheses.dur.ac.uk/3231/.

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The depletion of non-renewable energy resources, the environmental concern over the burning of fossil fuels, and the recent price rises and instability in the international oil markets have all combined to stimulate interest in the use of fermentation processes for the production of alternative bio-fuels. As a fuel, ethanol is mainly of interest as a petrol additive, or substrate, because ethanol-blended fuel produces a cleaner, more complete combustion that reduces greenhouse gas and toxic emissions. As a consequence of the surge in demand for biofuels, ethanol producing microorganisms, such as the bacterium Zymomonas mobilis, are of considerable interest due to their potential for industrial-scale bioethanol production. Although bioethanol has traditionally been produced in batch fermentation with the yeast Saccharomyces cerevisiae, there are advantages in using Z. mobilis as an alternative for bioethanol production. In comparison to yeast, Z. mobilis grows and ferments rapidly, without the requirement for the controlled supply of oxygen during fermentation, and has a significantly higher ethanol product rate and yield. Most importantly, it has a high tolerance for ethanol. Bacteria communicate with one another using chemical signalling molecules. In general, chemical communication involves producing, releasing, detecting, and responding to small hormone-like molecules termed autoinducers (AI). This process allows bacteria to monitor the environment for other bacteria and to alter behaviour on a population-wide scale in response to changes in the number and/or species present in a community. Currently, there are three well-defined classes of molecules that serve as the paradigms for chemical signaling in bacteria: oligopeptides, AI-1 (AHLs) and AI-2. Oligopeptide signalling is the predominant signal used by Gram-positive bacteria, and AHLs (acyl-homoserine lactones) are for species-specific communication in Gram-negative bacteria. Finally, the LuxS/AI-2 pathway is generally considered as involved in interspecies communication because the luxS gene, which is responsible for AI-2 production, is found in various bacteria. Many physiological functions in bacteria such as toxin, virulence factor and bacteriocin production, biofilm formation, bioluminescence, type III secretion, have been shown to be under the control of AI-2 quorum sensing. In Z. mobilis, in vitro synthesized and in vivo produced AI-2 treatment enhanced ethanol production by this bacterium up to a maximum of 50% in comparison with untreated control cells. This appears attributable to the overproduction of the glycolytic enzymes, enolase and pyruvate carboxylase, which are only rarely found in bacteria and the key enzymes for ethanol production. From the perspective of interspecies communication, enhanced ethanol production in Z. mobilis, under the control of the AI-2 signalling molecules, could represent a good example of a bacterium that does not produce AI-2, but responds to it. Another interesting finding is that two extracellular proteins from Z. mobilis, ZMO0994 and ZMO0134 which were originally induced by AI-2, were secreted when they were cloned, transformed and expressed in E. coli strain BL21 DE3; since it is generally accepted that nonpathogenic strains of E. coli, particularly derivatives of K12, do not secrete proteins under routine growth conditions. Presumably, these proteins possess signal sequences for secretion that could be used to provide a strategy for their use as carriers of recombinant proteins produced in E. coli K12. The merit of this system is that there would be few contaminant cytoplasmic proteins, and could possibly solve problems in protein purification, such as protease activity, protein misfolding and inclusion body formation. Finally, the discovery that the metabolic pathway leading to ethanol production is regulated by AI-2 is of considerable biotechnological importance because it will provide a basis for further engineering of strains for more efficient ethanol production. Indeed, engineering Z. mobilis by introducing the genes that encode Pfs and LuxS to produce AI-2, would be a means to stimulate increased ethanol production.

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Celotto, Mattia <1995&gt. "Il MES, il Recovery Fund e i vantaggi dell'Eurozona ai tempi del SARS-CoV-2." Master's Degree Thesis, Università Ca' Foscari Venezia, 2021. http://hdl.handle.net/10579/19479.

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The thesis aims to look at the history of the European Union, from the end of the Second World War to the establishment of the ESM. Two focuses, one about the ESM itself, one about the Recovery Fund, constitute the pivotal part of the thesis. Finally, a look at the situation of Italy and its problems reguarding its lack in adapting to the Eurozone and the Euro are done to imply how problems that developed in the country since the Seventies can't be attribueted to the European single currency.

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Cazorla, Hector Villena. "Multiple Potential Fields in Quake 2 Multiplayer." Thesis, Blekinge Tekniska Högskola, Avdelningen för för interaktion och systemdesign, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5805.

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This thesis may be interesting for developers within video game industry, people who design the behaviour of agent systems, or those interested in complex robotic control systems. What potential fields give to the world of AI is a new way to implement the behaviour of the agents, giving weights to all the elements in the world, so the agent can decide if making some action deserves the cost, the combination of several potential fields is what makes this technique so efficient. An agent was created applying this technique. Implemented as a client application, the agent used the Quake protocol to connect and communicate with the server. Some tests were run on the model concerning the different functionalities a gamer agent should implement. The model turned out to be a success in a virtual environment like quake 2. Taking care of all the entities in the map and environmental factors, the agent is able to keep his state in balance, move to the most interesting positions and be able to face combat situations. The implementation is clean and mathematical oriented. Using algorithms as the heart of the model, we make the code lightweight in comparison with old bot models. The purpose of this thesis was to test an artificial intelligence technique called "Multiple Potential Fields" in the programming of an agent playing in a multiplayer game as Quake 2. The results stated that the technique is really interesting to apply in an virtual real-time environment, having some clear advantages compared to other techniques. hectorvcaz@hotmail.com

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Viro, Sebastian. "Using statistics and game knowledge to create better bots in Dota 2." Thesis, Malmö universitet, Fakulteten för teknik och samhälle (TS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-43442.

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Multiplayer online battle arena (MOBA) games and games in general offer developers opportunities to design and test AI to further push research within the area. MOBA is a genre that has seen an increase in popularity during recent years alongside a rapidly growing esports scene. The game's main purpose is ultimately to be enjoyed and played by human players, who often come up with and are encouraged to create their own strategies in order to beat the game or win out over their opponents. This thesis will explore how mimicking human behavior in AI and using statistics from human players can be beneficial to AI design. The AI will be developed in a framework similar to that used by the Conference of Games for their Dota 2 5v5 AI competition. Three different strategies will be created, each of which will mimic some aspect of human behaviour, and then tested against the built-in AI in Dota 2. All the developed AI’s managed to win with varying results. The results showed some support for the notion that human gameplay and statistics can be beneficial to AI design. There are, however, difficulties with the complexity of the game that is Dota 2.

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Soni, Kamleshkumar Arvindkumar. "AI-2-like acttivity mediated E. coli O157:H7 survival and virulence gene expression in the presence of ground beef extracts." Texas A&M University, 2003. http://hdl.handle.net/1969.1/3967.

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Cell-to-cell communication, termed quorum sensing, mediated by AI-2 like activity, has been reported to regulate the expression of a variety of genes in E. coli O157:H7. A previous study in our laboratory has shown that foods can contain compounds that can interfere with AI-2 signaling. The underlying hypothesis of our studies is that the autoinducer molecules such as AI-2 are involved in the virulence and survival of enteric bacterial pathogens on food and food ingredients. The influence of AI-2 like activity on the survival and expression of virulence genes (hha and yadK) in E.coli O157:H7 was studied when the organism was stored in different types of ground beef extracts such as: cooked, uncooked, and autoclaved. The survival was observed at refrigeration temperature, while change in gene expression was studied using real-time PCR. Higher survival was observed in the cell exposed to cell free supernatant (CFS) containing AI-2 like molecules, compared to the one which was exposed to heat degraded AI-2 like molecules. The survival of cells was higher when exposed to cooked ground beef extracts compared to uncooked and autoclaved ground beef extracts. Similarly, higher gene expressions of both hha and yadK genes were observed in cells that were exposed to cooked beef extract samples as compared to samples that wereuncooked or autoclaved. About a 2 fold higher gene expression for both hha and yadK gene was observed when cells were subjected to cooked ground beef extracts in the presence of AI-2 like molecules compared to the ones exposed to uncooked ground beef extracts in the presence of AI-2 like molecules. Likewise, 3-fold higher gene expression was observed for cells exposed to cooked ground beef extracts compare to autoclaved ground beef extracts in the presence of AI-2 like molecules. The results suggest that the survival and virulence of enteric bacterial pathogens such as E.coli O157:H7 can be influenced by the interaction of food components and autoinducers such as AI-2, that are involved in bacterial cell communications.

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Libri sul tema "AI-2"

Yi, Qing. Ai 1 ai 2 lie fang lin. Hong Kong: Xing He, 1999.

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1945-, Ye Yunyun, and Dai Guohui, eds. Ai zeng 2, 28. Taibei Shi: Yuan liu chu ban shi ye gu fen you xian gong si, 1992.

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Yi, Yao. Mo wang de ai ji 2/2. Taiwan: Geng Lin, 2002.

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Gentile, Guido. Introduzione ai sistemi dinamici - Volume 2. Milano: Springer Milan, 2022. http://dx.doi.org/10.1007/978-88-470-4014-4.

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Howe, J. A. M. AI-2 vision notes 1987/88. Edinburgh: Department of Artificial Intelligence,University of Edinburgh, 1988.

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Yi, Yao. Mo wang de ai ji 1/2. Taiwan: Geng Lin, 2002.

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Yan, Qin. Ai qing di er hao (= Love issue no.2). Hong Kong: Qin & Yuan, 1994.

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Yaxuan, Luo, ed. Ai qing, bu zhi 1/2: Lucy in the Sky. Taibei Shi: Chun tian chu ban guo ji wen hua you xian gong si, 2010.

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Agouridēs, Savvas. Ho Christianismos enanti Ioudaismou kai Hellēnismou kata to 2. ai. m. Ch. Athēna: Hellēnika Grammata, 1997.

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Ottavio, Besomi, and Caruso Carlo, eds. Il Commento ai testi: Atti del convegno di Ascona, 2-9 ottobre 1989. Basel: Berkhäuser Verlag, 1992.

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Capitoli di libri sul tema "AI-2"

Ibrahim, Memunat A., Elizabeth Williams, and Kehinde Aruleba. "Exploring Trustworthy AI in Nigeria: A Focus on Safety in Road Traffic." In Trustworthy AI, 165–92. Cham: Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-75674-0_8.

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Abstract Safety is paramount in AI systems’ adoption and trust. Much of the work on trustworthy AI principles and practices are primarily from Western contexts, despite the often global deployment of AI-enabled systems. The lacking representation of African contexts and voices in AI safety discourse may lead to disproportionate harm from AI systems in Africa. In this chapter, we contribute an African perspective to AI safety by exploring safety in Nigerian road traffic—an environment where AI-enabled systems designed in Western contexts are gaining traction. With the view that safety is systemic, we explored (1) AI safety definitions and (2) practical safety in Nigerian road traffic by highlighting some of the safety impacts of automobility and its regulation in Nigeria. Drawing on these, we identified sociotechnical and environmental factors that are critical for safe AI development and adoption in Nigeria. We conclude the chapter by discussing the lessons and recommended actions for ensuring AI safety in Nigeria and other African countries. They include systemically prioritising Africa’s and Africans’ safety in AI systems through research and stakeholder engagements, local and global empowerment of African researchers, respecting African values and contributions to global AI discourse, and creating spaces for communal contributions to AI safety through public engagements and education.

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"AI-2 – Autoinducer 2." In Encyclopedia of Metalloproteins, 19. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-1533-6_100039.

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"2. Ai Khanoum." In The Hellenistic Far East, 57–101. University of California Press, 2019. http://dx.doi.org/10.1525/9780520959545-006.

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Sevda, Başar, and Çınar Zelal. "From Black Boxes to Transparency: The Evolution of AI in Architectural Design." In AI-DRIVEN ARCHITECTURE: PIONEERING THE DIGITAL FRONTIER. Alanya University, 2024. http://dx.doi.org/10.38027/ai-driven-2.

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"2. Introduzione ai testi." In Trattati greci su barbarismo e solecismo, 50–214. De Gruyter, 2020. http://dx.doi.org/10.1515/9783110659900-002.

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"2 Human-Aided AI." In The Ethics of AI, 38–54. Bristol University Press, 2025. https://doi.org/10.56687/9781529249262-006.

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Lewis, Mike, and Kevin Dill. "Game AI Appreciation, Revisited." In Game AI Pro 2, 3–18. A K Peters/CRC Press, 2015. http://dx.doi.org/10.1201/b18373-3.

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"General Wisdom." In Game AI Pro 2, 1–2. A K Peters/CRC Press, 2015. http://dx.doi.org/10.1201/b18373-2.

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Manslow, John. "Possibility Maps for Opportunistic AI and Believable Worlds." In Game AI Pro 2, 41–48. A K Peters/CRC Press, 2015. http://dx.doi.org/10.1201/b18373-10.

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Zubek, Robert. "Production Rules Implementation in 1849." In Game AI Pro 2, 49–58. A K Peters/CRC Press, 2015. http://dx.doi.org/10.1201/b18373-11.

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Atti di convegni sul tema "AI-2"

Fang, Wai-Chi, Ching-Jung Lin, Yi-Kai Chen, and Jing-Ping Cheng. "High Performance 2-Dimensional Systolic Array Design for Edge AI Accelerator." In 2024 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan), 361–62. IEEE, 2024. http://dx.doi.org/10.1109/icce-taiwan62264.2024.10674240.

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Paduraru, Ciprian, Catalina Patilea, and Alin Stefanescu. "CyberGuardian 2: Integrating LLMs and Agentic AI Assistants for Securing Distributed Networks." In 20th International Conference on Evaluation of Novel Approaches to Software Engineering, 660–67. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013406000003928.

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Stawiarska, Ewa, Piotr Stawiarski, and Maciej Stawarski. "MANAGING HOSPITAL LOGISTICS USING AI." In 11th SWS International Scientific Conferences on SOCIAL SCIENCES - ISCSS 2024, 547–54. SGEM WORLD SCIENCE, 2024. https://doi.org/10.35603/sws.iscss.2024/s16/92.

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Artificial intelligence (AI) is becoming increasingly important in various sectors, including healthcare. One of the key areas where AI can significantly improve patient care and hospital efficiency is hospital logistics management. [1], [2] This paper presents the potential of artificial intelligence (AI) to support the strategic management of logistics infrastructure; operational management for hospital supply planning; and operational improvement i.e.: logistics process flows. The paper uses a monographic research method to describe two hospitals using AI in hospital logistics management. The examples show that the management of resources, internal transport, medical waste and patient data are activities that require advanced technological solutions. The examples show that AI is already being successfully implemented in healthcare units.

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Leofante, Francesco, Hamed Ayoobi, Adam Dejl, Gabriel Freedman, Deniz Gorur, Junqi Jiang, Guilherme Paulino-Passos, et al. "Contestable AI Needs Computational Argumentation." In 21st International Conference on Principles of Knowledge Representation and Reasoning {KR-2023}, 888–96. California: International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/kr.2024/83.

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AI has become pervasive in recent years, but state-of-the-art approaches predominantly neglect the need for AI systems to be contestable. Instead, contestability is advocated by AI guidelines (e.g. by the OECD) and regulation of automated decision-making (e.g. GDPR). In this position paper we explore how contestability can be achieved computationally in and for AI. We argue that contestable AI requires dynamic (human-machine and/or machine-machine) explainability and decision-making processes, whereby machines can 1. interact with humans and/or other machines to progressively explain their outputs and/or their reasoning as well as assess grounds for contestation provided by these humans and/or other machines, and 2. revise their decision-making processes to redress any issues successfully raised during contestation. Given that much of the current AI landscape is tailored to static AIs, the need to accommodate contestability will require a radical rethinking, that, we argue, computational argumentation is ideally suited to support.

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Christopoulou, Andreani, Costas Chaikalis, Dimitrios Kosmanos, Apostolos Xenakis, and Periklis Chatzimisios. "On the use of AI for 6G Signal Decoding in DVB – S.2 Applications." In 2024 IEEE Conference on Standards for Communications and Networking (CSCN), 202–7. IEEE, 2024. https://doi.org/10.1109/cscn63874.2024.10849750.

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Herbst, Tobias, Oleksii Balagurin, Tobias Greiner, Tobias Kaiser, Hakan Kayal, Andreas Maurer, and Tobias Schwarz. "6U+ CubeSat SONATE-2: Operation of an Optical AI Payload in Low Earth Orbit." In 31st IAA Symposium on Small Satellite Missions, Held at the 75th International Astronautical Congress (IAC 2024), 1327–32. Paris, France: International Astronautical Federation (IAF), 2024. https://doi.org/10.52202/078365-0144.

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Knopp, Tomai, Jeffrey Chu, and Sagheer Ahmad. "AMD Versal^™ AI Edge Series Gen 2 for Vision and Automotive." In 2024 IEEE Hot Chips 36 Symposium (HCS), 1–28. IEEE, 2024. http://dx.doi.org/10.1109/hcs61935.2024.10665274.

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Jaffari, Rabeea, Sulafa Abdalmageed Saadaldeen Mohammed, and Lakshitha Gunasekara. "AI-based Catalytic Performance Prediction for CO₂ Electrochemical Reduction using Ionic Liquids." In IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society, 1–6. IEEE, 2024. https://doi.org/10.1109/iecon55916.2024.10984232.

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Saber, Ahmed, Md Ashraful Alam, and Tanuj Khandelwal. "AI based CO₂ and Locational Marginal Emission up to End Users with Energy Mix." In 2024 IEEE Power & Energy Society General Meeting (PESGM), 1–5. IEEE, 2024. http://dx.doi.org/10.1109/pesgm51994.2024.10688534.

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Makino, Jun. "MN-Core 2: Second-Generation Processor of MN-Core Architecture for AI and General-Purpose HPC Application." In 2024 IEEE Hot Chips 36 Symposium (HCS), 1–22. IEEE, 2024. http://dx.doi.org/10.1109/hcs61935.2024.10664802.

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Rapporti di organizzazioni sul tema "AI-2"

Segelke, B., S. Hok, V. Lao, M. Corzett, and E. Garcia. Regulation of Yersina pestis Virulence by AI-2 Mediated Quorum Sensing. Office of Scientific and Technical Information (OSTI), March 2010. http://dx.doi.org/10.2172/978400.

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Constantine, Monica M., and Jacob W. Ulvila. Testing and Evaluating C3I Systems That Employ AI. Volume 2. Compendium of Lessons Learned from Testing AI Systems in the Army. Fort Belvoir, VA: Defense Technical Information Center, January 1991. http://dx.doi.org/10.21236/ada266359.

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Sedova, Katerina, Christine McNeill, Aurora Johnson, Aditi Joshi, and Ido Wulkan. AI and the Future of Disinformation Campaigns: Part 2: A Threat Model. Center for Security and Emerging Technology, December 2021. http://dx.doi.org/10.51593/2021ca011.

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Artificial intelligence offers enormous promise to advance progress and powerful capabilities to disrupt it. This policy brief is the second installment of a series that examines how advances in AI could be exploited to enhance operations that automate disinformation campaigns. Building on the RICHDATA framework, this report describes how AI can supercharge current techniques to increase the speed, scale, and personalization of disinformation campaigns.

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Lehoux, Pascale, Hassane Alami, Carl Mörch, Lysanne Rivard, Robson Rocha, and Hudson Silva. Can we innovate responsibly during a pandemic? Artificial intelligence, digital solutions and SARS-CoV-2. Observatoire international sur les impacts sociétaux de l’intelligence artificielle et du numérique, June 2020. http://dx.doi.org/10.61737/ueti5496.

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As a part of the research project of the International Observatory on the societal impacts of AI and digital technology (OBVIA) regarding the societal effects of A.I. systems and digital tools deployed to combat the spread of COVID-19 and supported by the Québec Research Funds (FRQ), the In Fieri research team leaded by the professor Pascale Lehoux, have produced a policy brief for public decision-makers and developers of AI and digital solutions about responsible innovation during pandemic : Can we innovate responsibly during a pandemic? Artificial intelligence, digital solutions and SARS-CoV-2

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Fariborzi, Hadi, and Piers Steel. Using ChatGPT for Systematic Literature Reviews. Instats Inc., 2023. http://dx.doi.org/10.61700/j8f4zpzyi3o47469.

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This workshop is designed to equip PhD students, professors, and professional researchers with the skills to leverage AI for systematic literature reviews. Participants will gain a comprehensive understanding of AI and its applications in academic research, learn how to use ChatGPT, OpenAI, Python, and HubMeta for systematic reviews, and develop strategies for integrating AI into their current research methodology. An official Instats certificate of completion and 2 ECTS Equivalent points are provided at the conclusion of the seminar.

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Fariborzi, Hadi, and Piers Steel. Using ChatGPT for Systematic Literature Reviews. Instats Inc., 2023. http://dx.doi.org/10.61700/tunnuyr63vbvf469.

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Fariborzi, Hadi, and Piers Steel. Using ChatGPT to Maximize Research Productivity. Instats Inc., 2024. http://dx.doi.org/10.61700/c08dbpwlywt02706.

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This 2-day seminar aims to enhance research productivity through the strategic use of AI tools like ChatGPT, addressing common work obstacles such as procrastination. It offers a comprehensive learning experience, focusing on the application of AI in research, the psychological aspects of procrastination, and creating personal productivity plans and sticking to them with AI assistants. Participants will gain practical skills to effectively use ChatGPT and other productivity tools to reduce their workloads and increase research outputs.

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Steel, Piers, and Hadi Fariborzi. Using ChatGPT for Dissertations and Theses. Instats Inc., 2023. http://dx.doi.org/10.61700/jwjwiapcl6fow469.

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This comprehensive seminar is designed to equip PhD students and research-oriented masters students with the skills to leverage advanced AI tools like ChatGPT in their academic research. The seminar covers a range of topics including the role of AI in literature reviews, data collection and analysis, data interpretation, and practical applications of these tools for drafting dissertations and theses, alongside ethical considerations of using AI in research. An official Instats certificate of completion and 2 ECTS Equivalent points are provided at the conclusion of the seminar.

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Fariborzi, Hadi, and Piers Steel. Using ChatGPT for Dissertations and Theses. Instats Inc., 2023. http://dx.doi.org/10.61700/w3911b54epoz1469.

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Vilalta, Ricardo. A Gentle Introduction to Artificial Intelligence. Instats Inc., 2023. http://dx.doi.org/10.61700/ws1767apt7i86469.

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This workshop offers a comprehensive overview of AI, hands-on applications, and its relevance in academic research, with discussions on ethical considerations and future trends in AI. The workshop is designed for PhD students, professors, and professional researchers. An official Instats certificate of completion and 2 ECTS equivalent points are provided at the conclusion.

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