Augmented Reality and Artificial Intelligence in industry: Trends, tools, and future challenges
Augmented Reality (AR) is an augmented depiction of reality formed by overlaying digital
information on an image of objects being seen through a device. Artificial Intelligence (AI) …
information on an image of objects being seen through a device. Artificial Intelligence (AI) …
Artificial-intelligence-driven customized manufacturing factory: key technologies, applications, and challenges
The traditional production paradigm of large batch production does not offer flexibility toward
satisfying the requirements of individual customers. A new generation of smart factories is …
satisfying the requirements of individual customers. A new generation of smart factories is …
Artificial intelligence (AI) in augmented reality (AR)-assisted manufacturing applications: a review
Augmented reality (AR) has proven to be an invaluable interactive medium to reduce
cognitive load by bridging the gap between the task-at-hand and relevant information by …
cognitive load by bridging the gap between the task-at-hand and relevant information by …
Opportunities and challenges for machine learning in materials science
Advances in machine learning have impacted myriad areas of materials science, such as
the discovery of novel materials and the improvement of molecular simulations, with likely …
the discovery of novel materials and the improvement of molecular simulations, with likely …
Tackling faults in the industry 4.0 era—a survey of machine-learning solutions and key aspects
The recent advancements in the fields of artificial intelligence (AI) and machine learning
(ML) have affected several research fields, leading to improvements that could not have …
(ML) have affected several research fields, leading to improvements that could not have …
Applications of artificial intelligence in engineering and manufacturing: a systematic review
Engineering and manufacturing processes and systems designs involve many challenges,
such as dynamism, chaotic behaviours, and complexity. Of late, the arrival of big data, high …
such as dynamism, chaotic behaviours, and complexity. Of late, the arrival of big data, high …
A comprehensive literature review of the applications of AI techniques through the lifecycle of industrial equipment
M Elahi, SO Afolaranmi, JL Martinez Lastra… - Discover Artificial …, 2023 - Springer
Driven by the ongoing migration towards Industry 4.0, the increasing adoption of artificial
intelligence (AI) has empowered smart manufacturing and digital transformation. AI …
intelligence (AI) has empowered smart manufacturing and digital transformation. AI …
Modeling process–structure–property relationships in metal additive manufacturing: a review on physics-driven versus data-driven approaches
Metal additive manufacturing (AM) presents advantages such as increased complexity for a
lower part cost and part consolidation compared to traditional manufacturing. The multiscale …
lower part cost and part consolidation compared to traditional manufacturing. The multiscale …
Review of intelligence for additive and subtractive manufacturing: current status and future prospects
Additive manufacturing (AM), an enabler of Industry 4.0, recently opened limitless
possibilities in various sectors covering personal, industrial, medical, aviation and even …
possibilities in various sectors covering personal, industrial, medical, aviation and even …
A review of the recent development in machining parameter optimization
The optimization process is applied to the machining operations in order to provide
continual improvement in accuracy and quality of produced parts. The effects of machining …
continual improvement in accuracy and quality of produced parts. The effects of machining …