Intelligence as a service : designing semantic APIs to intelligent software
The purpose and focus of this Bachelor’s Thesis is to explore, examine and (to some extent) analyze the design heuristics and guidelines of an API that is to be implemented for a software or service that facilitates AI. An essential challenge in the creating of the thesis is that there are no papers to be found on the particular subject. General API design guidelines, related W3C recommendations and basic requirements of AI are explored, while trying to form some kind of a cohesion about what a semantic API for an intelligent software would or should be like.
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Samankaltainen aineisto
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Towards a Great Design of Conceptual Modelling
Kiyoki, Yasushi; Thalheim, Bernhard; Duží, Marie; Jaakkola, Hannu; Chawakitchareon, Petchporn; Heimbürger, Anneli (IOS Press, 2020)Humankind faces a most crucial mission; we must endeavour, on a global scale, to restore and improve our natural and social environments. This is a big challenge for global information systems development and for their ... -
Autonomous maritime ecosystem : digital concepts and business case : results from the JYU TJTSM54 course on advanced topics on systems development
Impiö, Johannes; Risku, Juhani; Kollanus, Sami; Vakkuri, Ville; Kemell, Kai-Kristian; Kultanen, Joni; Himmanen, Joonas; Abrahamsson, Pekka (2019) -
LiquidAI : Towards an Isomorphic AI/ML System Architecture for the Cloud-Edge Continuum
Systä, Kari; Pautasso, Cesare; Taivalsaari, Antero; Mikkonen, Tommi (Springer Nature Switzerland, 2023)A typical Internet of Things (IoT) system consists of a large number of different subsystems and devices, including sensors and actuators, gateways that connect them to the Internet, cloud services, end-user applications ... -
Artificial Intelligence in Protecting Smart Building’s Cloud Service Infrastructure from Cyberattacks
Vähäkainu, Petri; Lehto, Martti; Kariluoto, Antti; Ojalainen, Anniina (Springer, 2020)Gathering and utilizing stored data is gaining popularity and has become a crucial component of smart building infrastructure. The data collected can be stored, for example, into private, public, or hybrid cloud service ... -
Explainable AI for Industry 4.0 : Semantic Representation of Deep Learning Models
Terziyan, Vagan; Vitko, Oleksandra (Elsevier, 2022)Artificial Intelligence is an important asset of Industry 4.0. Current discoveries within machine learning and particularly in deep learning enable qualitative change within the industrial processes, applications, systems ...
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