TEACHING Platform for Human-Centric Autonomous Applications: Design and Overview
Authors: 
Valerio De Caro, Christos Chronis, Massimo Coppola, Vincenzo Lomonaco, Claudio Gallicchio, Konstantinos Tserpes, Davide BacciuAuthors Info & Claims
Pages 381 - 384
Abstract
The TEACHING project enhances AI applications in pervasive environments via Humanistic Intelligence, fostering synergy between humans and Cyber-Physical Systems of Systems (CPSoS). Here, we present the TEACHING Platform, a microservice-based framework providing the technological advancements to represent humans and CPSoS as containerized software models that interact to mutually empower each other.
References
[1]
Davide Bacciu, Siranush Akarmazyan, Eric Armengaud, Manlio Bacco, George Bravos, Calogero Calandra, Emanuele Carlini, Antonio Carta, Pietro Cassarà, Massimo Coppola, Charalampos Davalas, Patrizio Dazzi, Maria Carmela Degennaro, Daniele Di Sarli, Juergen Dobaj, Claudio Gallicchio, Sylvain Girbal, Alberto Gotta, Riccardo Groppo, Vincenzo Lomonaco, Georg Macher, Daniele Mazzei, Gabriele Mencagli, Dimitrios Michail, Alessio Micheli, Roberta Peroglio, Salvatore Petroni, Rosaria Potenza, Farank Pourdanesh, Christos Sardianos, Konstantinos Tserpes, Fulvio Tagliabó, Jakob Valtl, Iraklis Varlamis, and Omar Veledar. 2021. TEACHING - Trustworthy autonomous cyber-physical applications through human-centred intelligence. In 2021 IEEE International Conference on Omni-Layer Intelligent Systems (COINS). 1--6.
[2]
Valerio De Caro, Saira Bano, Achilles Machumilane, Alberto Gotta, Pietro Cassarà, Antonio Carta, Rudy Semola, Christos Sardianos, Christos Chronis, Iraklis Varlamis, Konstantinos Tserpes, Vincenzo Lomonaco, Claudio Gallicchio, and Davide Bacciu. 2022. AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving. In 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and Other Affiliated Events (PerCom Workshops): Demos (PerCom Demos 2022).
[3]
Valerio De Caro, Herbert Danzinger, Claudio Gallicchio, Clemens Könczöl, Vincenzo Lomonaco, Mina Marmpena, Sevasti Politi, Omar Veledar, and Davide Bacciu. 2023. Prediction of Driver's Stress Affection in Simulated Autonomous Driving Scenarios. In 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW). 1--5.
[4]
Vincenzo Lomonaco, Valerio De Caro, Claudio Gallicchio, Antonio Carta, Christos Sardianos, Iraklis Varlamis, Konstantinos Tserpes, Massimo Coppola, Mina Marmpena, Sevasti Politi, Erwin Schoitsch, and Davide Bacciu. 2023. AI-Toolkit: A Microservices Architecture for Low-Code Decentralized Machine Intelligence. In 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW). 1--5.
[5]
Gabriele Mencagli, Massimo Torquati, Andrea Cardaci, Alessandra Fais, Luca Rinaldi, and Marco Danelutto. 2021. WindFlow: High-Speed Continuous Stream Processing With Parallel Building Blocks. IEEE Transactions on Parallel and Distributed Systems 32, 11 (2021), 2748--2763.
Index Terms
- TEACHING Platform for Human-Centric Autonomous Applications: Design and Overview
Recommendations
Human-centric software engineering
FoSER '10: Proceedings of the FSE/SDP workshop on Future of software engineering researchResearch into how humans interact with computers has a long and rich history. Only a small fraction of this research has considered how humans interact with computers when engineering software. A similarly small amount of research has considered how ...
Contextualizing User Perceptions about Biases for Human-Centered Explainable Artificial Intelligence
CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing SystemsBiases in Artificial Intelligence (AI) systems or their results are one important issue that demands AI explainability. Despite the prevalence of AI applications, the general public are not necessarily equipped with the ability to understand how the ...
AI based intelligent system on the EDISON platform
AICCC '18: Proceedings of the 2018 Artificial Intelligence and Cloud Computing ConferenceIn recent years, artificial intelligence (AI) has become a trend all over the world. This trend has led to the application and development of intelligent system that apply AI. In this paper, we describe a system architecture that uses AI, on a platform ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
June 2024
436 pages
ISBN:9798400704130
DOI:10.1145/3625549
- Chair:
- Patrizio Dazzi,
- Co-chair:
- Gabriele Mencagli,
- Program Chair:
- David Lowenthal,
- Program Co-chair:
- Rosa M Badia
This work is licensed under a Creative Commons Attribution International 4.0 License.
Sponsors
In-Cooperation
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 30 August 2024
Check for updates
Author Tags
Qualifiers
- Short-paper
Conference
HPDC '24
Sponsor:
HPDC '24: 33rd International Symposium on High-Performance Parallel and Distributed Computing
June 3 - 7, 2024
Pisa, Italy
Acceptance Rates
Overall Acceptance Rate 166 of 966 submissions, 17%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 53Total Downloads
- Downloads (Last 12 months)53
- Downloads (Last 6 weeks)22
Reflects downloads up to 13 Dec 2024
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in