The introduction of new topologies and training procedures to deep neural networks has solicited a renewed interest in the field of neural computation. The use of deep structures has significantly improved the state of the art in many applications, such as computer vision, speech and text processing, medical applications, and IoT (Internet of Things). The probability of a successful outcome from a neural network is linked to selection of an appropriate network architecture and training algorithm. Accordingly, much of the recent research on neural networks is devoted to the study and proposal of novel architectures, including solutions tailored to specific problems. The papers of this Special Issue make significant contributions to the above-mentioned fields by merging theoretical aspects and relevant applications. Twelve papers are collected in the issue, addressing many relevant aspects of the topic.

The I&M Society offers a selection of Video Tutorials (VTs) that address relevant and important topics of interest to the I&M community. Video Tutorials are classified as belonging to the Expert or Classroom series. Video Tutorials of the Expert series are authored by someone who is recognized as an Expert (academician or practitioner) in his/her field, while a Classroom series Video Tutorial is one typically authored by a graduate student and may be geared more towards specific measurement or instrumentation skills and/or classroom-based lecture topics. The I&M Society also offers the opportunity to earn CEU/PDH credits. Please see below for more information. If you have any questions, please contact Prof. Salvatore Graziani, the Editor-in-Chief of the Video Tutorials Program, for more information.

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This paper deals wifh the problem of efficiently performing laboratory experiments during the course of lectures on Electrical and Electronic Measurements. A new approach is presented, it is based on adopting hyper-textual interactive tools for writing the laboratory technical reports while executing measurements. The teaching philosophy is discussed and some examples of "interactive technical relations" are reported.