[HTML][HTML] AI and machine learning in resuscitation: ongoing research, new concepts, and key challenges
Aim Artificial intelligence (AI) and machine learning (ML) are important areas of computer
science that have recently attracted attention for their application to medicine. However, as …
science that have recently attracted attention for their application to medicine. However, as …
How can algorithms help in segmenting users and customers? A systematic review and research agenda for algorithmic customer segmentation
What algorithm to choose for customer segmentation? Should you use one algorithm or
many? How many customer segments should you create? How to evaluate the results? In …
many? How many customer segments should you create? How to evaluate the results? In …
Data-centric artificial intelligence
Data-centric artificial intelligence (data-centric AI) represents an emerging paradigm that
emphasizes the importance of enhancing data systematically and at scale to build effective …
emphasizes the importance of enhancing data systematically and at scale to build effective …
Machine economies
This fundamentals article discusses efficient machine economies in which non-human
agents can autonomously exchange information and value. We first identify criteria for …
agents can autonomously exchange information and value. We first identify criteria for …
Augmenting machine learning with human insights: The model development for B2B personalization
Purpose Machine learning (ML) techniques are increasingly important in enabling business-
to-business (B2B) companies to offer personalized services to business customers. On the …
to-business (B2B) companies to offer personalized services to business customers. On the …
Towards effective human-ai decision-making: The role of human learning in appropriate reliance on ai advice
The true potential of human-AI collaboration lies in exploiting the complementary
capabilities of humans and AI to achieve a joint performance superior to that of the individual …
capabilities of humans and AI to achieve a joint performance superior to that of the individual …
Elaborating the potential of Artificial Intelligence in automated CAR-T cell manufacturing
N Bäckel, S Hort, T Kis, DF Nettleton… - Frontiers in Molecular …, 2023 - frontiersin.org
This paper discusses the challenges of producing CAR-T cells for cancer treatment and the
potential for Artificial Intelligence (AI) for its improvement. CAR-T cell therapy was approved …
potential for Artificial Intelligence (AI) for its improvement. CAR-T cell therapy was approved …
Enabling inter-organizational analytics in business networks through meta machine learning
Successful analytics solutions that provide valuable insights often hinge on the connection
of various data sources. While it is often feasible to generate larger data pools within …
of various data sources. While it is often feasible to generate larger data pools within …
Designing a computer-vision-based artifact for automated quality control: a case study in the food industry
F Xiong, N Kühl, M Stauder - Flexible Services and Manufacturing Journal, 2024 - Springer
Reducing waste through automated quality control (AQC) has both positive economical and
ecological effects. In order to incorporate AQC in packaging, multiple quality factor types …
ecological effects. In order to incorporate AQC in packaging, multiple quality factor types …