We present a general framework for the formal specification and algorithmic analysis of hybrid systems. A hybrid system consists of a discrete program with an analog environment. We model hybrid systems as finit
As the use of AI in HR continues to increase, so will people’s awareness of bias. In hiring, there are some examples of how AI bias has affected decision-making due to biased training data, algorithmic design, or biased human involvement. HR will have to mitigate AI bias as much as...
2. The Hybrid Regulatory Approach In the contemporary milieu where global AI governance frameworks remain in a nascent stage of discursive proposal, notable stakeholders such as the OpenAI’s CEO have articulated a welcoming stance towards regulatory scrutiny of algorithmic safety during congressional hear...
With the rapid development of renewable energy, photovoltaic energy storage systems (PV-ESS) play an important role in improving energy efficiency, ensuring grid stability and promoting energy transition. As an important part of the micro-grid system, the energy storage system can realize the stable...
Carter, M., Laporte, G., Lee, S.T.: Examination Timetabling: Algorithmic Strategies and Applications. J. Oper. Res. Soc. 47, 373–383 (1996) Dowsland, K.: Using Simulated Annealing for Efficient Allocation of Students to Practical Classes. In: Vidal, R.V.V. (ed.) Applied Simula...
As AI systems proliferate, their greenhouse gas emissions are an increasingly important concern for human societies. In this article, we present a comparative analysis of the carbon emissions associated with AI systems (ChatGPT, BLOOM, DALL-E2, Midjourney) and human individuals performing equivalent ...
Towards Sustainability-aware Recommender Systems: Analyzing the Trade-off Between Algorithms Performance and Carbon Footprint Group Fairness for Content Creators: the Role of Human and Algorithmic Biases under Popularity-based Recommendations Providing Previously Unseen Users Fair Recommendations Using Variational...
We find that the carbon footprint of AI research may be significant and highlight the need for more evidence concerning the trade-off between the GHG emissions generated by AI research and the energy and resource efficiency gains that AI can offer. In light of our analysis, we argue that ...
The segmentation of retinal vasculature from eye fundus images is a fundamental task in retinal image analysis. Over recent years, increasingly complex approaches based on sophisticated Convolutional Neural Network architectures have been pushing perform
For NISQ devices to be of any use as a computational tool for chemistry, the algorithmic approaches must be adapted to be highly noise-robust in order to be capable of producing accurate results in the context of chemical precision. The QCM method is based on an expansion of the Lanczos ...