Challenges in deploying machine learning: a survey of case studies
In recent years, machine learning has transitioned from a field of academic research interest
to a field capable of solving real-world business problems. However, the deployment of …
to a field capable of solving real-world business problems. However, the deployment of …
Trustworthy AI: From principles to practices
The rapid development of Artificial Intelligence (AI) technology has enabled the deployment
of various systems based on it. However, many current AI systems are found vulnerable to …
of various systems based on it. However, many current AI systems are found vulnerable to …
Deep reinforcement learning for robotics: A survey of real-world successes
Reinforcement learning (RL), particularly its combination with deep neural networks,
referred to as deep RL (DRL), has shown tremendous promise across a wide range of …
referred to as deep RL (DRL), has shown tremendous promise across a wide range of …
The need to separate the wheat from the chaff in medical informatics: Introducing a comprehensive checklist for the (self)-assessment of medical AI studies
F Cabitza, A Campagner - International Journal of Medical Informatics, 2021 - Elsevier
This editorial aims to contribute to the current debate about the quality of studies that apply
machine learning (ML) methodologies to medical data to extract value from them and …
machine learning (ML) methodologies to medical data to extract value from them and …
Artificial intelligence in the embryology laboratory: a review
I Dimitriadis, N Zaninovic, AC Badiola… - Reproductive …, 2022 - Elsevier
The goal of an IVF cycle is a healthy live-born baby. Despite the many advances in the field
of assisted reproductive technologies, accurately predicting the outcome of an IVF cycle has …
of assisted reproductive technologies, accurately predicting the outcome of an IVF cycle has …
[HTML][HTML] Futures of artificial intelligence through technology readiness levels
F Martínez-Plumed, E Gómez… - Telematics and …, 2021 - Elsevier
Artificial Intelligence (AI) offers the potential to transform our lives in radical ways. However,
the main unanswered questions about this foreseen transformation are its depth, breadth …
the main unanswered questions about this foreseen transformation are its depth, breadth …
[HTML][HTML] The pipeline for the continuous development of artificial intelligence models—Current state of research and practice
Companies struggle to continuously develop and deploy Artificial Intelligence (AI) models to
complex production systems due to AI characteristics while assuring quality. To ease the …
complex production systems due to AI characteristics while assuring quality. To ease the …
Biomonitoring and precision health in deep space supported by artificial intelligence
Human exploration of deep space will involve missions of substantial distance and duration.
To effectively mitigate health hazards, paradigm shifts in astronaut health systems are …
To effectively mitigate health hazards, paradigm shifts in astronaut health systems are …
Biological research and self-driving labs in deep space supported by artificial intelligence
Abstract Space biology research aims to understand fundamental spaceflight effects on
organisms, develop foundational knowledge to support deep space exploration and …
organisms, develop foundational knowledge to support deep space exploration and …
[HTML][HTML] A review on bioinspired strategies for an energy-efficient built environment
Energy efficiency is an emerging challenge for the built environment due to rapid
urbanisation. The built environment impacts human health and comfort, along with …
urbanisation. The built environment impacts human health and comfort, along with …