Pedreschi, Dino Pappalardo, Luca Ferragina, Emanuele Baeza-Yates, Ricardo Barabási, Albert-László Dignum, Frank Dignum, Virginia Eliassi-Rad, Tina Giannotti, Fosca Kertész, János
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Human-AI coevolution, defined as a process in which humans and AI algorithms continuously influence each other, increasingly characterises our society, but is understudied in artificial intelligence and complexity science literature. Recommender systems and assistants play a prominent role in human-AI coevolution, as they permeate many facets of da...
Ryazanov, Igor Öhman, Carl Björklund, Johanna
We perform a mixed-method frame semantics-based analysis on a dataset of more than 49,000 sentences collected from 5846 news articles that mention AI. The dataset covers the twelve-month period centred around the launch of OpenAI's chatbot ChatGPT and is collected from the most visited open-access English-language news publishers. Our findings indi...
lind, andreas elango, veeresh bandaru, sunith hanson, lars högberg, dan
This paper presents a decision support approach to enable decision-makers to identify no-preference solutions in multi-objective optimization for factory layout planning. Using a set of trade-off solutions for a battery production assembly station, a decision support method is introduced to select three solutions that balance all conflicting object...
saqib, ehsan gidófalvi, gyozo
Charging infrastructure is the backbone of electromobility. Due to new charging behaviors and power distribution and charging space constraints, the energy demand and supply patterns of electromobility and the locations of current refueling stations are misaligned. Infrastructure developers (charging point operators, fleet operators, grid operators...
Lind, Simon Kristoffersson Xiong, Ziliang Forssén, Per-Erik Krüger, Volker
When deploying deep neural networks on robots or other physical systems, the learned model should reliably quantify predictive uncertainty. A reliable uncertainty allows downstream modules to reason about the safety of its actions. In this work, we address metrics for evaluating such an uncertainty. Specifically, we focus on regression tasks, and i...
alodjants, alexander p. avdyushina, anna e. tsarev, dmitriy v. bessmertny, igor a. khrennikov, andrey yu.
Quantum-inspired algorithms represent an important direction in modern software information technologies that use heuristic methods and approaches of quantum science. This work presents a quantum approach for document search, retrieval, and ranking based on the Bell-like test, which is well-known in quantum physics. We propose quantum probability t...
khadam, umair davidsson, paul spalazzese, romina
The use of Artificial Intelligence (AI) in Internet of Things (IoT) systems has gained significant attention due to its potential to improve efficiency, functionality and decision-making. To further advance research and practical implementation, it is crucial to better understand the specific roles of AI in IoT systems and identify the key applicat...
Babikian, Aren A. Semerath, Oszkar Varro, Daniel
Existing safety assurance approaches for autonomous vehicles (AVs) perform system-level safety evaluation by placing the AV-under-test in challenging traffic scenarios captured by abstract scenario specifications and investigated in realistic traffic simulators. As a first step towards scenario-based testing of AVs, the initial scene of a traffic s...
Damaševičius, Robertas Mozgeris, Gintautas Kurti, Arianit Maskeliūnas, Rytis
Published in
Frontiers in Forests and Global Change
This paper looks at the incorporation of blockchain and Internet of Things (IoT) technologies into Forest 4.0, a sector that harnesses advanced tools such as artificial intelligence and big data for efficient and sustainable forest monitoring and management. The synergy of blockchain and IoT has gained significant attention, offering a secure and d...
Goglia, Diletta Vega D'Aurelio, Davide
Millions of people use online social networks to reinforce their sense of belonging, for example by giving and asking for feedback as a form of social validation and self-recognition. It is common to observe disagreement among people beliefs and points of view when expressing this feedback. Modeling and analyzing such interactions is crucial to und...
