A [rede.APPIA] é a lista de distribuição de correio electrónico da APPIA, com o objectivo de divulgar notícias de interesse para a comunidade científica da Inteligência Artificial, disponível através do endereço rede [at] appia [ponto] pt.
Melhor Tese de Doutoramento em Inteligência Artificial 2017-2018
Prémio da Associação Portuguesa para a Inteligência Artificial
A APPIA institui o Prémio para a Melhor Tese de Doutoramento em Inteligência Artificial 2017-2018, com a finalidade de distinguir trabalhos doutoramento de elevado mérito na área da Inteligência Artificial e que tenham sido obtidos numa instituição de ensino superior portuguesa durante o ano de 2017 ou 2018.
Em anexo segue o regulamento do prémio, sendo que as candidaturas devem ser efectuadas via preenchimento deste formulário até à data limite: 17 de Maio de 2019.
O prémio tem um valor simbólico de 1000 euros, sendo que o candidato (ou seu representante) receberá o certificado do Prémio de Melhor Tese de Doutoramento em Inteligência Artificial 2017-2018 em Vila Real em Setembro de 2019, durante a realização da 19th Conference on Artificial Intelligence (EPIA 2019, http://epia2019.utad.pt)
Organizadores:
César Analide, Universidade do Minho
Goreti Marreiros, Instituto Politécnico do Porto
Francisco Pereira, Instituto Politécnico de Coimbra
Goreti Marreiros
Professor Adjunto Departamento de Engenharia Informática
ISEP | Instituto Superior de Engenharia do Porto Rua Dr. António Bernardino de Almeida, 431 4249-015 Porto – PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail@isep.ipp.pt | www.isep.ipp.pt
*Apologies for cross-postings*
*Registration open*
ISSAI 2019: First Interdisciplinary Summer School on AI (issai.dei.uc.pt) Focus Theme: “New paths for Intelligence”
Jointly organised by APPIA and AEPIA June 5-7, 2019 Fórum Cultural de Cerveira, Vila Nova de Cerveira, Portugal
Schedule: – The works will start the 5th June at 9:00; participants are thus invited to arrive at Vila Nova de Cerveira on the evening of the 4th June. – The School will close on the 7th June, at the afternoon.
The ISSAI is intended as an interdisciplinary forum with the aim to create a multi-directional flow between AI and other disciplines. The spirit of the meeting is that a forum where practitioners from different fields both present ideas from their fields and learn about ideas from other fields is the best atmosphere for all the disciplines to prosper together. The event is an initiative of the Portuguese and Spanish associations for AI (APPIA and AEPIA). It is aimed at graduate students, post-docs and researchers willing to advance their knowledge and gain new insights by actively participating in an interdisciplinary dialogue.
The focus theme for the first edition in 2019 will be “New paths for Intelligence”.
Confirmed Lectures: – Luc Steels (Catalan Institute for Advanced Studies – ICREA): – Insights from evolutionary biology can be the basis of future AI – Matteo Valleriani (Max Planck Institute for the History of Science) – Early modern Mathematically Hardcoded Historical Reasoning: Is it Relevant for the Development of Artificial Intelligence? – Itziar de Lecuona (Universitat de Barcelona) – Making Technical, legal and social aspects of Artificial Inteliigence – JJ Merelo (University of Granada) – From computer science and engineering to AI: cloud native artificial intelligence and artificial life. – Jochen Büttner (Max Planck Institute for the History of Science) – New tools for a long-established discipline: Using machine learning approaches for corpus research in the history of science – Nuno Sousa (University of Minho) – AI in medical arena – Tony Veale (University College Dublin) – Making Machines That Make Meaning: Exploring Spaces of Varying Dimensionality in Computational Creativity.
We invite all the graduate students, post-docs and researchers interested in this interdisciplinary forum to book these dates and pay attention to our website. The registration will open soon.
Venue: The ISSAI will take place in the Fórum Cultural de Cerveira, which is the main stage of the prestigious Biennial of Art of Vila nova de Cerveira. This venue offers an excellent set up for three intensive days of lecturers, panels, formal and informal discussions, networking and fun.
Accommodations: We have booked a number of places with controlled prices, primarily for students, in the Youth Hostel (Pousada da Juventude). Detailed information on how to apply is available in ISSAI website. Vila Nova da Cerveira has a good offer of alternative accommodations available in the most known booking platforms.
Chairs: – Amparo Alonso (University of A Coruña) – Amílcar Cardoso (University of Coimbra) – Luís Correia (University of Lisbon) – Pablo Gervás (University Complutense of Madrid) – Paulo Novais (University of Minho) – Alicia Troncoso Lora (University Pablo de Olavide)
TPDL 2019 CALL FOR POSTERS & DEMO SUBMISSIONS ================================ 23rd International Conference on Theory and Practice of Digital Libraries (TPDL 2019) Oslo Metropolitan University, Oslo, Norway 9-12 September 2019
Website: www.tpdl.eu/tpdl2019/ EasyChair: easychair.org/conferences/?conf=tpdl2019
TPDL 2019 under the general theme “Connecting with Communities”, still invites submissions for scientific and research work in the categories of Posters and Demonstrations.
===IMPORTANT DATES=== Posters and Demos submission: May 20, 2019 Notification of decisions for Posters and Demos: June 3, 2019 Camera-ready submission: June 22, 2019
===TOPICS=== Contributions, either theoretical or applied, are welcome in all fields related to Digital Libraries. Below is given a (non-exhaustive) list of potential topics: * Information Retrieval and Access * Knowledge Discovery in Digital Libraries * Document (Text) Analysis * Services for Digital Arts and Humanities * GLAM Data for Digital Arts and Humanities * Research Data Management * Data Repositories and Archives * Web Archives * Semantic Web Technologies and Linked Data for DLs * Standards and Interoperability * Digital Preservation and Curation * Data and Information Lifecycle (creation, store, share and reuse) * Linked Data * Open Data and Knowledge * Scholarly Communication * Citation Analysis and Scientometrics * Cultural Heritage Access and Analysis * Digital History * Data and Metadata Quality * Digital Service Infrastructures * Research Infrastructures * User Participation * User Interface and Experience * Legal Issues * Emerging New Challenges and Opportunities * Applications of Digital Libraries * Collection Development and Discovery
===INFORMATION FOR AUTHORS=== The proceedings will be published by Springer-Verlag in Lecture Notes in Computer Science (LNCS, ISSN 0302-9743) series. All submissions have to be in English and submitted as a PDF file following the LNCS guidelines via the conference’s submission page: easychair.org/conferences/?conf=tpdl2019. They should be up to 4 pages long.
===ORGANIZATION=== General chairs: * Trond Aalberg (Oslo Metropolitan University) * Adam Jatowt (Kyoto University)
Program chairs: * Koraljka Golub (Linnæus University) * Antoine Doucet (University of La Rochelle) * Antoine Isaac (Europeana)
Poster/demo chairs: * Ricardo Campos (Polytechnic Institute of Tomar / INESC TEC) * Mickaël Coustaty (University of La Rochelle)
Doctoral consortium chairs: * Jose Borbina (NESC-ID/Univ. of Lisbon) * Avishek Anand (Leibniz University/L3S Research Center)
Workshop chairs: * Milena Dobreva (University College London Qatar) * Giannis Tsakonas (University of Patras)
ECIR 2020 :: 42nd European Conference on Information Retrieval www.ecir2020.org/
Lisbon April 14 -17, 2020 =====================
The European Conference on Information Retrieval is the prime European forum for the presentation of original research in the field of Information Retrieval.
ECIR 2020 is seeking high-quality and original submissions on theory, experimentation, and practice regarding the retrieval, representation, management, and usage of textual, visual and multi-modal information.
ECIR strongly supports user, system, application, and evaluation focused papers:
* User aspects including information interaction, contextualisation, personalisation, simulation, characterisation, and information behaviours.
* System aspects including retrieval and recommendation algorithms, machine learning, deep learning, content representation, natural language processing, system architectures, and efficiency methods.
* Applications such as search and recommender systems, web and social media apps, domain specific search (professional, bio, chem, etc.), novel interfaces, intelligent search agents/bots, and related innovative search tools.
* Evaluation research including new measures and novel methods for the measurement and evaluation of users, systems and/or applications.
In addition to these traditional topic areas, ECIR 2020 will be encouraging the submissions of papers on a specialised theme (eHealth, DeepLearning, education IR etc.)
Full Paper Track ===================== The Full paper track provides the opportunity for researchers to present their state of the art research in Information Retrieval, which makes, or have the potential to make, a significant contribution to the field. Full paper submissions should be 12 pages in length plus additional pages for references.
NEW!!!: As of 2020, a selection of the best papers at ECIR will be published in a special issue of the Information Retrieval Journal.
Information Retrieval Journal ===================== Selected papers from ECIR 2020 will be published in a special issue of the Information Retrieval Journal in early 2021.
Short Paper Track ===================== The Short Paper Track calls for original contributions presenting novel, thought-provoking ideas and addressing innovative application areas within the field of Information Retrieval. The inclusion of promising (preliminary) results is encouraged but not required. Papers that stimulate and promote discussion are particularly encouraged. Short paper submissions should be 6 pages in length plus additional pages for references.
Reproducibility Track ===================== ECIR also strongly encourages the submission of reproducibility papers that repeat and analyze prior work. In particular we solicit classical reproducibility papers, which replicate prior experiments and show how, why, and when the methods work (or not), along with two other types of reproducibility papers: generalizability papers, that focus on assessing how well technology performs in new contexts (e.g., different time, location, access device, task), and predictability papers, that focus on developing theory and methods that assess and evaluate how generalizable methods are and whether they will work in other contexts. Reproducibility submissions are welcome in any of the ares related to aspects of Information Retrieval, and either fits with the classical or alternative types of reproducibility papers. Reproducibility submissions should be 12 pages in length plus additional pages for references.
Demonstration Track ===================== The Demo Track provide the opportunity for researchers to present their research prototypes and operational systems which they wish to share with the community, obtain feedback from experts, and exchanges knowledge on implementing and developing such systems. Submissions should clearly define their purpose, scope, and audience. All submissions should provide a URL to a live online version of their demo or, alternatively, provide a URL to a video showcasing the main features of their demo. Demonstrations that make their source code freely available are especially encouraged. Demonstration submissions are welcome in any of the areas related to Information Retrieval (IR), as identified in the Topics of Interest listed above. Demo submissions should be 4 pages in length plus additional pages for references.
Submission Guidelines ===================== All submissions must be written in English and be formatted according to the LNCS author guidelines. All papers should be submitted electronically through the conference submission system. Full papers (e.g. main paper track and reproducibility track) are up to 12 pages in length plus additional pages for references, short papers are up to 6 pages in length plus additional pages for references, and demonstration papers are to be 4 pages in length plus additional pages for references. Full paper and short paper submissions will be refereed through double-blind peer review. Demonstration papers will undergo single-blind review. Accepted full papers, short papers, and demo papers will be published in the conference proceedings published in the Springer Lecture Notes in Computer Science series. The proceedings will be distributed to all delegates at the conference. Accepted full papers, short papers, and demos papers will have to be presented at the conference–and at least one author will be required to register.
Timeline =====================
Workshop submission: 1 September 2019 Workshop notifications: 1 October 2019
Full paper submission: 1 October 2019 Short paper submission: 15 October 2019 Demo submission: 15 October 2019 Doctoral consortium submission: 15 December 2019 Full/short/demo notifications: 30 November 2019 Camera-ready copy: 27 December 2019
Tutorials submission: 15 November 2019 Tutorials notifications: 15 December 2019
Workshops and tutorials: 14 April 2020 Main Conference: 15-17 April 2020
Nils Nilsson at Stanford University in 1987. Twenty years earlier, as a researcher, he helped create the first general purpose robot.Ed Souza/Stanford News
Nils Nilsson at Stanford University in 1987. Twenty years earlier, as a researcher, he helped create the first general purpose robot.Ed Souza/Stanford News
Nils J. Nilsson, a computer scientist who helped develop the first general-purpose robot and was a co-inventor of algorithms that made it possible for the machine to move about efficiently and perform simple tasks, died on Sunday at his home in Medford, Ore. He was 86.
His death was confirmed by his wife, Grace Abbott.
Dr. Nilsson was a member of a small group of computer scientists and electrical engineers at the Stanford Research Institute (now known as SRI International) who pioneered technologies that have proliferated in modern life, whether in navigation software used in more than a billion smartphones or in such speech-control systems as Siri.
The researchers had been recruited by Charles Rosen, a physicist at the institute, who had raised Pentagon funding in 1966 to design a robot that would be used as a platform for doing research in artificial intelligence.
Although the project was intended to create a general-purpose mobile “automaton” and be a test bed for A.I. programs, Mr. Rosen had secured the funding by selling the idea to the Pentagon that the machine would be a mobile sentry for a military base.
At one Pentagon meeting he was asked if this automaton could carry a gun. “How many do you need?” he answered. “I think it should easily be able to handle two or three.”
One of several books by Dr. Nilsson, “The Quest for Artificial Intelligence” was published in 2010 by Cambridge University Press.
One of several books by Dr. Nilsson, “The Quest for Artificial Intelligence” was published in 2010 by Cambridge University Press.
The researchers puzzled about what to name their robot, then decided that because it “shook like hell” when it moved, they would just call it Shakey. In 1970, Life Magazine, overstating its abilities, called the machine “the first electronic person” and suggested that true “thinking” machines would arrive in the near future.
Dr. Nilsson, who had specialized in radar, joined the Stanford institute in 1961. Another member of the group, Dr. Peter Hart, recalled in an interview that in recruiting Dr. Nilsson, Mr. Rosen had poked his finger at Dr. Nilsson’s chest and said: “Radar? That’s like doing research on light bulbs! You have to come help us design these learning machines.”
An early focus of Dr. Nilsson’s work involved neural networks, a new technology at the time that had been pioneered by Frank Rosenblatt at Cornell University. That technology would fall out of fashion in the 1970s, then re-emerge this decade after the cost of computing and gathering large data sets fell dramatically.
With the addition of vast amounts of data, neural networks began to rival human qualities in speech understanding and vision.
In 1965, Dr. Nilsson published one of the first books in the field of neural networks, “Learning Machines: Foundations of Trainable Pattern-Classifying Systems.” The approach broke with the dominant direction of artificial intelligence at the time.
Dr. Nilsson in 2003. He had no interest in Silicon Valley start-ups. “He was a researcher and academically inclined,” a colleague said. “He didn’t have any interest in commerce or, as he would call it, ‘industry.’ ”Linda A. Cicero/Stanford News
Dr. Nilsson in 2003. He had no interest in Silicon Valley start-ups. “He was a researcher and academically inclined,” a colleague said. “He didn’t have any interest in commerce or, as he would call it, ‘industry.’ ”Linda A. Cicero/Stanford News
Edward Feigenbaum, an early member of the artificial intelligence research community, called the book “revelatory.”
One challenge for the Stanford researchers was to figure out how a robot might navigate in an environment full of obstacles. Dr. Nilsson collaborated with Bertram Raphael and Dr. Hart to create what became known as the A* (pronounced “A Star”) algorithm, which allowed Shakey to find the shortest path between two points in a room strewn with obstacles.
Dr. Hart recalled walking down a hallway and encountering his two fellow researchers deep in discussion about how to calculate the most efficient route for a robot. He went home that evening and spent hours thinking about finding a mathematical proof that would show that a given path was the shortest one possible. He returned the next day and began working with his colleagues to come up the A* algorithm.
Dr. Nilsson worked with another researcher, Richard Fikes, to develop an algorithm to do higher-level planning, or reasoning, known as the Stanford Research Institute Problem Solver, or Strips. The program was designed to enable Shakey to perform simple tasks like finding and moving blocks; this required the machine to reason through a problem in an abstract way.
After the Shakey project wound down, Dr. Nilsson gained funding for another project at SRI International, known as the “Computer-based Consultant,” which focused on natural language understanding. It was a predecessor to Siri, which was also launched at SRI and spun off as an independent company in 2007 before it was acquired by Apple in 2010.
Dr. Nilsson was named chairman of the Stanford computer science department in 1985. He was also the author of “The Quest for Artificial Intelligence: A History of Ideas and Achievements” (2010), among other books.
Nils John Nilsson was born on Feb. 6, 1933, in Saginaw, Mich., to Walter and Pauline (Glerum) Nilsson. When he was 11, the family moved to California, where his father was a salesman for an industrial equipment distributor. His mother was a homemaker.
Dr. Nilsson studied at Stanford as an undergraduate and in 1958 received his Ph.D. there in electrical engineering. His dissertation was in information theory, exploring the problem of both detecting and jamming radar.
He then joined the Air Force and served three years, stationed at the Rome Air Development Center in Rome, N.Y., a research laboratory, before joining the Stanford Research Institute.
In 1958 he married Karen Braucht, who died in 1991. Along with his wife, Ms. Abbott, his survivors include two children from his first marriage, Lars Nilsson and Kristin Nilsson Farley; four stepsons; four grandchildren; and eight step-grandchildren.
Unlike many engineers and computer scientists in Silicon Valley, Dr. Nilsson shied away from the start-up frenzy that has been emblematic of the region.
“He was a researcher and academically inclined,” Dr. Hart said. “He didn’t have any interest in commerce or, as he would call it, ‘industry.’ That was great for other people, but he was not interested.”
A version of this article appears in print on , on Page D7 of the New York edition with the headline: Nils Nilsson, 86, Who Taught Robots to Find Their Way. Order Reprints | Today’s Paper | Subscribe
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