Abstract Edge Artificial Intelligence (AI) incorporates a network of interconnected systems
and devices that receive, cache, process, and analyse data in close communication with the …

Medical image segmentation plays a critical role in accurate diagnosis and treatment
planning, enabling precise analysis across a wide range of clinical tasks. This review begins …

Physics-informed neural networks (PINNs) encode physical conservation laws and prior
physical knowledge into the neural networks, ensuring the correct physics is represented …

Deep Neural Networks (DNNs) have become an essential and important supporting
technology for smart Internet-of-Things (IoT) systems. Due to the high computational costs of …

Performing deep neural network (DNN) inference in real time requires excessive network
resources, which poses a big challenge to the resource-limited industrial Internet of things …

Federated learning is an emerging concept that trains the machine learning models with the
local distributed data sets, without sending the raw data to the data center. But, in the …

Dataflow accelerators feature simplicity, programmability, and energy-efficiency and are
visualized as a promising architecture for accelerating perfectly nested loops that dominate …

Automatic classification of different species of fish is important for the comprehension of
marine ecology, fish behaviour analysis, aquaculture management, and fish health …

Recent trends in high-performance computing and deep learning have led to the
proliferation of studies on large-scale deep neural network training. However, the frequent …

Recent years have seen a sharp increase in the development of deep learning and artificial
intelligence-based molecular informatics. There has been a growing interest in applying …