@incollection{KraljevskiTschoepeWolff, author = {Kraljevski, Ivan and Tsch{\"o}pe, Constanze and Wolff, Matthias}, title = {Limits and Prospects of Big Data and Small Data Approaches in AI Applications}, series = {AI - Limits and Prospects of Artificial Intelligence}, booktitle = {AI - Limits and Prospects of Artificial Intelligence}, editor = {Klimczak, Peter and Petersen, Christer}, publisher = {transcript Verlag}, address = {Bielefeld}, isbn = {978-3-8376-5732-6}, doi = {10.14361/9783839457320-006}, pages = {115 -- 142}, abstract = {The renaissance of artificial intelligence (AI) in the last decade can be credited to several factors, but chief among these is the ever-increasing availability and miniaturization of computational resources. This process has contributed to the rise of ubiquitous computing via popularizing smart devices and the Internet of Things in everyday life. In turn, this has resulted in the generation of increasingly enormous amounts of data. The tech giants are harvesting and storing data on their clients' behavior and, at the same time, introducing concerns about data privacy and protection. Suddenly, such an abundance of data and computing power, which was unimaginable a few decades ago, has caused a revival of old and the invention of new machine learning paradigms, like Deep Learning. Artificial intelligence has undergone a technological breakthrough in various fields, achieving better than human performance in many areas (such as vision, board games etc.). More complex tasks require more sophisticated algorithms that need more and more data. It has often been said that data is becoming a resource that is "more valuable than oil"; however, not all data is equally available and obtainable. Big data can be described by using the "four Vs"; data with immense velocity, volume, variety, and low veracity. In contrast, small data do not possess any of those qualities; they are limited in size and nature and are observed or produced in a controlled manner. Big data, along with powerful computing and storage resources, allow "black box" AI algorithms for various problems previously deemed unsolvable. One could create AI applications even without the underlying expert knowledge, assuming there are enough data and the right tools available (e.g. end-to-end speech recognition and generation, image and object recognition). There are numerous fields in science, industry and everyday life where AI has vast potential. However, due to the lack of big data, application is not straightforward or even possible. A good example is AI in medicine, where an AI system is intended to assist physicians in diagnosing and treating rare or previously never observed conditions, and there is no or an insufficient amount of data for reliable AI deployment. Both big and small data concepts have limitations and prospects for different fields of application. This paper will try to identify and present them by giving real-world examples in various AI fields.}, language = {en} } @incollection{SchmittWirschingWolff, author = {Schmitt, Ingo and Wirsching, G{\"u}nther and Wolff, Matthias}, title = {Quantum-Based Modelling of Database States}, series = {Quantum-Like Models for Information Retrieval and Decision-Making}, booktitle = {Quantum-Like Models for Information Retrieval and Decision-Making}, editor = {Khrennikov, Andrei and Melucci, Massimo and Bourama, Toni}, edition = {1. Auflage}, publisher = {Springer Nature Switzerland AG, Springer International Publishing}, address = {Cham}, isbn = {978-3-030-25912-9}, doi = {10.1007/978-3-030-25913-6}, pages = {115 -- 127}, language = {en} } @incollection{KlimczakWirschingWolff, author = {Klimczak, Peter and Wirsching, G{\"u}nther and Wolff, Matthias}, title = {Kondome verschlimmern nur das Problem: Eine formale Semantik-Analyse}, series = {Popestar. Der Papst und die Medien}, booktitle = {Popestar. Der Papst und die Medien}, editor = {Klimczak, Peter and Petersen, Christer}, publisher = {Kadmos}, address = {Berlin}, isbn = {978-3-86599-254-3}, pages = {295 -- 312}, language = {de} } @incollection{WolffTschoepeRoemer, author = {Wolff, Matthias and Tsch{\"o}pe, Constanze and R{\"o}mer, Ronald}, title = {Quo vadis, UASR?}, series = {Systemtheorie Signalverarbeitung Sprachtechnologie}, booktitle = {Systemtheorie Signalverarbeitung Sprachtechnologie}, editor = {Mehnert, Dieter and Kordon, Ulrich and Wolff, Matthias}, publisher = {TUDpress}, address = {Dresden}, isbn = {978-3-944331-19-5}, pages = {276 -- 285}, language = {de} } @incollection{WolffHoffmann, author = {Wolff, Matthias and Hoffmann, R{\"u}diger}, title = {An Approach to Intelligent Signal Processing}, series = {Behavioral Cognitive Systems}, booktitle = {Behavioral Cognitive Systems}, editor = {Esposito, Anna}, publisher = {Springer}, address = {Berlin [u.a.]}, pages = {1 -- 18}, language = {en} } @incollection{WirschingHuberKoelbletal., author = {Wirsching, G{\"u}nther and Huber, Markus and K{\"o}lbl, Christian and Lorenz, Robert and R{\"o}mer, Ronald}, title = {Semantic Dialogue Modeling}, series = {Cognitive behavioural systems, COST 2102 International Training School, Dresden, Germany, February 21 - 26, 2011}, booktitle = {Cognitive behavioural systems, COST 2102 International Training School, Dresden, Germany, February 21 - 26, 2011}, publisher = {Springer}, address = {Berlin}, isbn = {978-3-642-34583-8}, pages = {104 -- 113}, language = {en} } @incollection{Roemer, author = {R{\"o}mer, Ronald}, title = {A Cortical Approach Based on Cascaded Bidirectional Hidden Markov Models}, series = {Cognitive behavioural systems, COST 2102 International Training School, Dresden, Germany, February 21 - 26, 2011}, booktitle = {Cognitive behavioural systems, COST 2102 International Training School, Dresden, Germany, February 21 - 26, 2011}, publisher = {Springer}, address = {Berlin}, isbn = {978-3-642-34583-8}, pages = {266 -- 272}, language = {en} } @incollection{KordonWolffTschoepe, author = {Kordon, Ulrich and Wolff, Matthias and Tsch{\"o}pe, Constanze}, title = {Mustererkennung f{\"u}r Sensorsignale}, editor = {Gerlach, Gerald}, publisher = {TUDpress}, address = {Dresden}, isbn = {978-3-941298-55-2}, pages = {69 -- 78}, language = {de} } @incollection{HoffmannEichnerKordonetal., author = {Hoffmann, R{\"u}diger and Eichner, Matthias and Kordon, Ulrich and Tsch{\"o}pe, Constanze and Wolff, Matthias}, title = {Anwendung von Spracherkennungsalgorithmen auf nichtsprachliche akustische Signale}, series = {Sprachsignalverarbeitung : Analyse und Anwendungen ; zum 65. Geburtstag von Klaus Fellbaum}, booktitle = {Sprachsignalverarbeitung : Analyse und Anwendungen ; zum 65. Geburtstag von Klaus Fellbaum}, editor = {Hentschel, Christian}, publisher = {TUDpress}, address = {Dresden}, isbn = {978-3-940046-02-4}, pages = {46 -- 57}, language = {de} } @incollection{FellbaumHampicke, author = {Fellbaum, Klaus and Hampicke, Maik}, title = {Digitale Vernetzung — Smart-Home}, series = {Sentha — seniorengerechte Technik im h{\"a}uslichen Alltag Ein Forschungsbericht mit integriertem Roman}, booktitle = {Sentha — seniorengerechte Technik im h{\"a}uslichen Alltag Ein Forschungsbericht mit integriertem Roman}, editor = {Friesdorf, Wolfgang and Heine, Achim}, publisher = {Springer}, address = {Berlin [u.a.]}, isbn = {978-3-540-32817-9}, pages = {93 -- 115}, language = {de} }