Intelligence artificielle (IA)

17/10/2019

Retour sur la journée d’étude du congrès #ADBU2019 : Tous bibl-IA-thécaires ? L’intelligence artificielle, vers un nouveau service public

« (…) La journée d’étude du Congrès de l’ADBU sera l’occasion de (re)découvrir l’intelligence artificielle et ses applications, et d’échanger autour des expérimentations et réalisations menées dans des environnements professionnels proches des nôtres, de l’amélioration de la relation à l’usager à l’automatisation / virtualisation d’une partie de nos activités documentaires. La…

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01/10/2019

Copyright as an Obstacle or an Enabler? A European Perspective on Text and Data Mining and Its Role in the Development of AI Creativity

« (…) This contribution discusses the interplay between TDM and AI creativity by focusing, first, on the potential and technicalities of TDM and the interplay with legal restrictions. Second, it reviews the copyright-related issues facing TDM and the debate underlying the adoption of this new piece of EU legislation. Third, it…

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22/08/2019

SEMANTiCS 2019 « The Power of AI and Knowledge Graphs », Sept. 09-12, 2019 , Karlsruhe (Germany) [programme]

« SEMANTiCS conference is the leading European conference on Semantic Technologies and AI. Researchers, industry experts and business leaders can develop a thorough understanding of trends and application scenarios in the fields of Machine Learning, Data Science, Linked Data and Natural Language Processing. »

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08/08/2019

Elsevier to acquire Parity Computing Inc., a company applying artificial intelligence to some of the most difficult disambiguation challenges in science, technology and medicine

« Elsevier, a global information analytics business specializing in science and health, today announced it has signed a definitive agreement to acquire Parity Computing Inc. (“Parity”), a California-based business that employs artificial intelligence to provide high-accuracy entity resolution, profiling and recommendations…

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29/07/2019

Making Neural Networks FAIR

« Research on neural networks has gained significant momentum over the past few years. A plethora of neural networks is currently being trained on available data in research as well as in industry. Because training is a resource-intensive process and training data cannot always be made available to everyone, there has…

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