In pursuing this approach, laboratory faculty and students … The goal will be to develop artificial intelligence-based tools, products and services to help UNESCO Member States accelerate their efforts to meet the Sustainable Development Goals (SDGs). Our digital and analog accelerators are driving massive improvements in computational power while remaining energy-efficient. The artificial intelligence group studies the computational mechanisms underlying intelligent behavior. Discussion about misconceptions on artificial intelligence and impact on transforming customer engagement. Today's AI is narrow. Currently, no computers exhibit full We need AI that combines different forms of knowledge, unpacks causal relationships, and learns new things on its own. IBM launched a global research collaboration hubâ¨to drive next-generation AI Hardware and expand joint research efforts in nanotechnology. Introduction. The term is frequently applied to the project of developing systems endowed with the intellectual processes characteristic of humans, such as the ability to reason, discover meaning, generalize, or learn from past experience. Artificial Intelligence Research Nov 6, 2020. Artificial intelligence research paper. In short, AI must have fluid intelligence— and that's exactly what our AI research teams are building. Legal, ethical, economic and societal implications of these technologies … The use of ontology and artificial intelligence in the management and control of cybercrime is in a major increase since it is crucial in handling voluminous data which are very crucial for organizational performance. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Association for Computational Linguistics (ACL), Association for the Advancement of Artificial Intelligence (AAAI), Conference on Neural Information Processing Systems (NeurIPS), International Joint Conference on Artificial Intelligence (IJCAI). There are divided opinions about what exactly the term artificial intelligence covers. History. JAIR invites submissions in all areas of AI. Research in the 1960s and 1970s produced the first problem-solving program, or expert system, known as Dendral. FAQ | Mailing List | Donate to JAIR | Follow us on Twitter© Copyright 1993-2017 AI Access Foundation, Inc. Artem Kaznatcheev, David Cohen, Peter Jeavons, Marco Garapa, Eduardo Fermé, Maurício Reis, Chiara Del Vescovo, Matthew Horridge, Bijan Parsia, Uli Sattler, Thomas Schneider, Haoruo Zhao, The Anh Han, Luis Moniz Pereira, Francisco C. Santos, Tom Lenaerts, Marco Amoruso, Daniele Anello, Vincenzo Auletta, Raffaele Cerulli, Diodato Ferraioli, Andrea Raiconi, Joseph Bullock, Alexandra Luccioni, Katherine Hoffman Pham, Cynthia Sin Nga Lam, Miguel Luengo-Oroz, Senka Krivic, Michael Cashmore, Daniele Magazzeni, Sandor Szedmak, Justus Piater, Ulle Endriss, Ronald de Haan, Jérôme Lang, Marija Slavkovik, Iulian Vlad Serban, Chinnadhurai Sankar, Michael Pieper, Joelle Pineau, Yoshua Bengio, Vitor Bosshard, Benedikt Bünz, Benjamin Lubin, Sven Seuken, Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi, Jacopo Banfi, Vikram Shree, Mark Campbell, Siddharth Gupta, Guy Sa'ar, Meirav Zehavi, Mucahid Kutlu, Tyler McDonnell, Tamer Elsayed, Matthew Lease, Paul Goldberg, Alexandros Hollender, Warut Suksompong, Theofanis Aravanis, Pavlos Peppas, Mary-Anne Williams, Pavlos Vougiouklis, Eddy Maddalena, Jonathon Hare, Elena Simperl, Deep Learning, Knowledge Representation and Reasoning, Cross-Language Algorithms and Applications, Representing Fitness Landscapes by Valued Constraints to Understand the Complexity of Local Search, Credibility-limited Base Revision: New Classes and Their Characterizations, Modular Structures and Atomic Decomposition in Ontologies, Qualitative Numeric Planning: Reductions and Complexity, To Regulate or Not: A Social Dynamics Analysis of an Idealised AI Race, Contrasting the Spread of Misinformation in Online Social Networks, Mapping the landscape of Artificial Intelligence applications against COVID-19, Using Machine Learning for Decreasing State Uncertainty in Planning, Structure from Randomness in Halfspace Learning with the Zero-One Loss, The Complexity Landscape of Outcome Determination in Judgment Aggregation, Belief change and 3-valued logics: Characterization of 19,683 belief change operators, The Bottleneck Simulator: A Model-Based Deep Reinforcement Learning Approach, Computing Bayes-Nash Equilibria in Combinatorial Auctions with Verification, Properties of Switch-List Representations of Boolean Functions, The PETLON Algorithm to Plan Efficiently for Task-Level-Optimal Navigation, AMP Chain Graphs: Minimal Separators and Structure Learning Algorithms, Planning High-Level Paths in Hostile, Dynamic, and Uncertain Environments, Improved High Dimensional Discrete Bayesian Network Inference using Triplet Region Construction, The Parameterized Complexity of Motion Planning for Snake-Like Robots, Annotator Rationales for Labeling Tasks in Crowdsourcing, Contiguous Cake Cutting: Hardness Results and Approximation Algorithms, Incompatibilities Between Iterated and Relevance-Sensitive Belief Revision, On Sparse Discretization for Graphical Games, Constraint and Satisfiability Reasoning for Graph Coloring, Point at the Triple: Generation of Text Summaries from Knowledge Base Triples. 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