Search (193 results, page 1 of 10)

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Abstract

The Washington Post reports that the US Justice Department has launched a criminal and intelligence investigation into Alexandra Elbakyan, founder of Sci-Hub

Source

https://www.elsevier.com/connect/allegations-linking-sci-hub-with-russian-intelligence

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Source

http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=5&ved=0CDQQFjAE&url=http%3A%2F%2Fdigbib.ubka.uni-karlsruhe.de%2Fvolltexte%2Fdocuments%2F3131107&ei=HzFWVYvGMsiNsgGTyoFI&usg=AFQjCNE2FHUeR9oQTQlNC4TPedv4Mo3DaQ&sig2=Rlzpr7a3BLZZkqZCXXN_IA&bvm=bv.93564037,d.bGg&cad=rja

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Source

https%3A%2F%2Ftannerlectures.utah.edu%2F_documents%2Fa-to-z%2Fp%2Fpopper80.pdf&usg=AOvVaw3f4QRTEH-OEBmoYr2J_c7H

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Abstract

Jan and Simon are collaborating in the development of a collaborative web-based resource to be called The Energy Centre (TEC). TEC will allow the collaborative collection of clips relating to all aspects of the energy sector. The clips will be stored and organized in such a way that they are not only easily searchable, but can serve as the basis for content analysis - defined as 'a technique for systematic inference from communications'. Jan began by explaining that it was while working as an intelligence analyst at the Canadian Trend Report in Montreal, that he learned about content analysis, a classic taxonomy-based intelligence research methodology

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Abstract

Human brain size nearly quadrupled in the six million years since Homo last shared a common ancestor with chimpanzees, but human brains are thought to have decreased in volume since the end of the last Ice Age. The timing and reason for this decrease is enigmatic. Here we use change-point analysis to estimate the timing of changes in the rate of hominin brain evolution. We find that hominin brains experienced positive rate changes at 2.1 and 1.5 million years ago, coincident with the early evolution of Homo and technological innovations evident in the archeological record. But we also find that human brain size reduction was surprisingly recent, occurring in the last 3,000 years. Our dating does not support hypotheses concerning brain size reduction as a by-product of body size reduction, a result of a shift to an agricultural diet, or a consequence of self-domestication. We suggest our analysis supports the hypothesis that the recent decrease in brain size may instead result from the externalization of knowledge and advantages of group-level decision-making due in part to the advent of social systems of distributed cognition and the storage and sharing of information. Humans live in social groups in which multiple brains contribute to the emergence of collective intelligence. Although difficult to study in the deep history of Homo, the impacts of group size, social organization, collective intelligence and other potential selective forces on brain evolution can be elucidated using ants as models. The remarkable ecological diversity of ants and their species richness encompasses forms convergent in aspects of human sociality, including large group size, agrarian life histories, division of labor, and collective cognition. Ants provide a wide range of social systems to generate and test hypotheses concerning brain size enlargement or reduction and aid in interpreting patterns of brain evolution identified in humans. Although humans and ants represent very different routes in social and cognitive evolution, the insights ants offer can broadly inform us of the selective forces that influence brain size.

Source

Frontiers in ecology and evolution, 22 October 2021 [https://www.frontiersin.org/articles/10.3389/fevo.2021.742639/full]

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Abstract

Das hätte man sich denken können. Artificial Intelligence hat keine Chance auf geistiges Eigentum und daher kein Anrecht auf Patente.

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Series

Artificial intelligence

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Abstract

In den vergangenen Jahren haben sich Begriffe wie "Artificial Intelligence" oder "Machine Learning" zunehmend als Teil unseres Wortschatzes etabliert. Auf der Jahreskonferenz der Competitive Intelligence Branche (DCIF e.V.) Ende September in Bamberg hörte ich den Begriff Artificial Intelligence 32-mal und den Begriff Machine Learning sechsmal - während der ersten zwei Vorträge! Wer hier einen ironischen Unterton herausliest, täuscht sich. Der sich wandelnde Wortschatz ist der lebende Beweis für die Neugierde und die Bereitschaft zur Entwicklung in unserer Branche.

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Footnote

Vgl. unter: https://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=2&cad=rja&uact=8&ved=2ahUKEwizweHljdbcAhVS16QKHXcFD9QQFjABegQICRAB&url=https%3A%2F%2Fwww.researchgate.net%2Fpublication%2F271200105_Die_Autonomie_des_Menschen_und_der_Maschine_-_gegenwartige_Definitionen_von_Autonomie_zwischen_philosophischem_Hintergrund_und_technologischer_Umsetzbarkeit_Redigierte_Version_der_Magisterarbeit_Karls&usg=AOvVaw06orrdJmFF2xbCCp_hL26q.

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Content

"Die Englischsprachige Wikipedia verfügt jetzt über mehr als 6 Millionen Artikel. An zweiter Stelle kommt die deutschsprachige Wikipedia mit 2.3 Millionen Artikeln, an dritter Stelle steht die französischsprachige Wikipedia mit 2.1 Millionen Artikeln (via Researchbuzz: Firehose <https://rbfirehose.com/2020/01/24/techcrunch-wikipedia-now-has-more-than-6-million-articles-in-english/> und Techcrunch <https://techcrunch.com/2020/01/23/wikipedia-english-six-million-articles/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+Techcrunch+%28TechCrunch%29&guccounter=1&guce_referrer=aHR0cHM6Ly9yYmZpcmVob3NlLmNvbS8yMDIwLzAxLzI0L3RlY2hjcnVuY2gtd2lraXBlZGlhLW5vdy1oYXMtbW9yZS10aGFuLTYtbWlsbGlvbi1hcnRpY2xlcy1pbi1lbmdsaXNoLw&guce_referrer_sig=AQAAAK0zHfjdDZ_spFZBF_z-zDjtL5iWvuKDumFTzm4HvQzkUfE2pLXQzGS6FGB_y-VISdMEsUSvkNsg2U_NWQ4lwWSvOo3jvXo1I3GtgHpP8exukVxYAnn5mJspqX50VHIWFADHhs5AerkRn3hMRtf_R3F1qmEbo8EROZXp328HMC-o>). 250120 via digithek ch = #fineBlog s.a.: Angesichts der Veröffentlichung des 6-millionsten Artikels vergangene Woche in der englischsprachigen Wikipedia hat die Community-Zeitungsseite "Wikipedia Signpost" ein Moratorium bei der Veröffentlichung von Unternehmensartikeln gefordert. Das sei kein Vorwurf gegen die Wikimedia Foundation, aber die derzeitigen Maßnahmen, um die Enzyklopädie gegen missbräuchliches undeklariertes Paid Editing zu schützen, funktionierten ganz klar nicht. *"Da die ehrenamtlichen Autoren derzeit von Werbung in Gestalt von Wikipedia-Artikeln überwältigt werden, und da die WMF nicht in der Lage zu sein scheint, dem irgendetwas entgegenzusetzen, wäre der einzige gangbare Weg für die Autoren, fürs erste die Neuanlage von Artikeln über Unternehmen zu untersagen"*, schreibt der Benutzer Smallbones in seinem Editorial <https://en.wikipedia.org/wiki/Wikipedia:Wikipedia_Signpost/2020-01-27/From_the_editor> zur heutigen Ausgabe."

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Content

Vgl.: http://www.imageidentify.com. Eine ausführlichere Erklärung der Funktionsweise und Hintergründe findet sich in Stephen Wolframs Blog-Eintrag: "Wolfram Language Artificial Intelligence: The Image Identification Project" unter: http://blog.stephenwolfram.com/2015/05/wolfram-language-artificial-intelligence-the-image-identification-project/. Vgl. auch: https://news.ycombinator.com/item?id=8621658.

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Abstract

In 30 years, will robots do all the unpleasant work for us? Or will they subjugate us to become submissive slaves? The debates on how Artificial Intelligence (AI) will change our lives move between these extremes. There is no doubt that the change will be dramatic. Maybe now is just the right time to start interfering. This pioneering comic essay on AI invites you on an illustrated journey through the dimensions and implications of the groundbreaking technology. Discussing important chances and risks associated with AI, this work is a creative stimulus for insiders of the subject as well as an invitation for newbies to get informed and join the debate. With a doctorate in economics, Julia Schneider appreciates data and code as tools for solving complex puzzles - and loves comics as a medium for telling complex stories. Coming from the opposite direction, artist Lena Kadriye Ziyal loves encrypting complexity with associations and thereby expands the meaning of a theme with her perspective.

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Abstract

Knowledge Representation and Reasoning (KR & R) has become one of the promising fields of Artificial Intelligence. KR is dedicated towards representing information about the domain that can be utilized in path planning. Ontology based knowledge representation and reasoning techniques provide sophisticated knowledge about the environment for processing tasks or methods. Ontology helps in representing the knowledge about environment, events and actions that help in path planning and making robots more autonomous. Knowledge reasoning techniques can infer new conclusion and thus aids planning dynamically in a non-deterministic environment. In the initial sections, the representation of knowledge using ontology and the techniques for reasoning that could contribute in path planning are discussed in detail. In the following section, we also provide comparison of various planning domain modeling languages, ontology editors, planners and robot simulation tools.

Content

Part of special issue: SI on Artificial Intelligence and Machine Learning. Vgl.: https://doi.org/10.1016/j.icte.2018.04.008.

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Content

Beitrag für: Workshop on the Applications of Ontologies and Problem-Solving Methods, (eds) Gómez-Pérez, A., Benjamins, V.R., Guarino, N., and Uschold, M. European Conference on Artificial Intelligence 2000, Berlin.

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Abstract

Die Metamorphose des Wissenschaftsverlags Elsevier zum Research Intelligence Dienstleister ist paradigmatisch für die neuen Möglichkeiten der Protokollierung und Steuerung von Wissenschaft.

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Source

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Law, ICAIL 2019, Montreal, QC, Canada, June 17-21, 2019 [https://doi.org/10.1145/3322640.3326735]

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Abstract

Literature review articles are essential to summarize the related work in the selected field. However, covering all related studies takes too much time and effort. This study questions how Artificial Intelligence can be used in this process. We used ChatGPT to create a literature review article to show the stage of the OpenAI ChatGPT artificial intelligence application. As the subject, the applications of Digital Twin in the health field were chosen. Abstracts of the last three years (2020, 2021 and 2022) papers were obtained from the keyword "Digital twin in healthcare" search results on Google Scholar and paraphrased by ChatGPT. Later on, we asked ChatGPT questions. The results are promising; however, the paraphrased parts had significant matches when checked with the Ithenticate tool. This article is the first attempt to show the compilation and expression of knowledge will be accelerated with the help of artificial intelligence. We are still at the beginning of such advances. The future academic publishing process will require less human effort, which in turn will allow academics to focus on their studies. In future studies, we will monitor citations to this study to evaluate the academic validity of the content produced by the ChatGPT. 1. Introduction OpenAI ChatGPT (ChatGPT, 2022) is a chatbot based on the OpenAI GPT-3 language model. It is designed to generate human-like text responses to user input in a conversational context. OpenAI ChatGPT is trained on a large dataset of human conversations and can be used to create responses to a wide range of topics and prompts. The chatbot can be used for customer service, content creation, and language translation tasks, creating replies in multiple languages. OpenAI ChatGPT is available through the OpenAI API, which allows developers to access and integrate the chatbot into their applications and systems. OpenAI ChatGPT is a variant of the GPT (Generative Pre-trained Transformer) language model developed by OpenAI. It is designed to generate human-like text, allowing it to engage in conversation with users naturally and intuitively. OpenAI ChatGPT is trained on a large dataset of human conversations, allowing it to understand and respond to a wide range of topics and contexts. It can be used in various applications, such as chatbots, customer service agents, and language translation systems. OpenAI ChatGPT is a state-of-the-art language model able to generate coherent and natural text that can be indistinguishable from text written by a human. As an artificial intelligence, ChatGPT may need help to change academic writing practices. However, it can provide information and guidance on ways to improve people's academic writing skills.

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Content

"Wie das konkret aussehen kann, könnte eine Initiative der EU-Kommission mit der Gründung einer Experten-Gruppe (High-Level Expert Group on Artificial Intelligence, AI HLEG) aufzeigen, die sich im Dezember 2018 mit einem Beitrag "Ethische Grundlagen für eine vertrauenswürdige KI" an die Öffentlichkeit wandte. "Künstliche Intelligenz (KI) ist eine der transformativsten Kräfte unserer Zeit und wird das Gewebe der Gesellschaft verändern", heißt es darin gleich zu Beginn. Die Experten nennen daraufhin die Prinzipien auf dem Weg zu einer verantwortungsvollen Entwicklung der KI-Technologien. Insbesondere sei hier ein "anthropo-zentrischer" Ansatz vonnöten, so die Gruppe unisono. Ziel ist es, die Entwicklung der KI derart zu gestalten, dass der einzelne Mensch, seine Würde und seine Freiheit geschützt werde, Demokratie, Recht und Gesetz sowie Bürgerrechte aufrecht erhalten werden und Gleichheit, Minderheitenschutz und Solidarität gefördert werden. Grundlegende Richtlinien für jede KI-Technologie müssen daher sein: 1. Den Menschen Gutes zukommen zu lassen; 2. kein menschliches Leid zu verursachen; 3. die menschliche Autonomie zu fördern; 4. das Prinzip der Fairness gelten zu lassen; und 5. Transparenz und Nachvollziehbarkeit in allen Wirkungen zu erreichen." Vgl. auch: https://ec.europa.eu/digital-single-market/en/high-level-expert-group-artificial-intelligence.

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Series

Frontiers in artificial intelligence and applications; vol 143

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Source

Proceedings of the Twelfth International Conference on Artificial Intelligence & Statistics (AI-STATS), JMLR W&CP 5, 2009. S.384-391