Emerging Innovations in the Near Future Using Deep Learning Techniques
Akshara Pramod, Harsh Sankar Naicker, Amit Kumar Tyagi · 2022
Due to recent development in technology, we can see many rapid changes in many sectors. Some popular rapid technologies of previous decade are deep learning, disruptive technology, blockchain technology (decentralized technology), cyber physical systems, Internet of Things, etc. Internet of Things is an interesting creation (development) of the previous decade and used today in many applications/sectors to make people's life easier to live and to increase productivity of businesses. Internet of Things provides device-to-device and machine-to- machine communication in this architecture. Also, it has data (communication) at rest and in motion mode. Generally, Internet of Things or internet-enabled thing devices generated a lot of data when these smart devices communicate together. For that, we require sufficient tools and efficient (also robust methods/algorithms) tools to analyze this large amount of data. Also, we require new measurements and standards to quantify this data and its respective results. Till now, machine learning was being used to analyze this data, but machine learning is unable to handle large amount of data, which is increasing every day. In near future, deep learning will take the place of machine learning for analyzing this massive data. Deep learning today is used in natural language processing, healthcare (mostly, i.e., to cure disease), etc., and will be used in many other applications like visual art processing, automatic speech recognition, facial recognition, and medical image recognition, etc. This chapter provides complete details about every innovation possible in the filed of deep learning in the near future.