In 2006, Geoffrey Hinton proposed the concept of training “Deep Neural Networks (DNNs)”
and an improved model training method to break the bottleneck of neural network …

Recent advancements and developments in artificial intelligence (AI) based approaches
have shifted the manufacturing practices towards the fourth industrial revolution, considered …

Chatbots are becoming increasingly popular due to their benefits in saving costs, time, and
effort. This is due to the fact that they allow users to communicate and control different …

Topic modeling using models such as Latent Dirichlet Allocation (LDA) is a text mining
technique to extract human-readable semantic “topics”(ie, word clusters) from a corpus of …

Enabled by a rich ecosystem of Machine Learning (ML) libraries, programming using
learned models, ie, Software-2.0, has gained substantial adoption. However, we do not …

Deep learning (DL) is moving its step into a growing number of mobile software applications.
These software applications, named as DL based mobile applications (abbreviated as …

While online developer forums are major resources of knowledge for application
developers, their roles in promoting better privacy practices remain underexplored. In this …

Low-code software development (LCSD) is an emerging approach to democratize
application development for software practitioners from diverse backgrounds. LCSD …

Deep learning becomes the driving force behind many contemporary technologies and has
been successfully applied in many fields. Through software dependencies, a multi-layer …

Abstract Internet of Things (IoT) is defined as the connection between places and physical
objects (ie, things) over the Internet via smart computing devices. It is a rapidly emerging …