In the present state of digital world, computer machine do not understand the human’s ordinary language. This is the great barrier between humans and digital systems. Hence, researchers found an advanced technology that provides information to the users from the digital machine. However, natural language processing (i.e. NLP) is a branch of AI that has significant implication on the ways that computer machine and humans can interact. NLP has become an essential technology in bridging the communication gap between humans and digital data. Thus, this study provides the necessity of the NLP in the current computing world along with different approaches and their applications. It also, highlights the key challenges in the development of new NLP model.
The design of natural interaction with social robots is highly complex process, given the huge design space of robots in terms of appearance and behaviour and the challenges arising when using face detection and speech recognition in the wild. More natural and highly autonomous interaction is necessary to faster trust and engagement and hence establishing a longterm social relationship between users and robots. NLP is used to-extract user's basic information, hobbies and interests for building a rich user profile. This presents the framework design to enable the development of social robotic applications by cross-disciplinary teams of programmers and interaction designers and advantages and disadvantages of social robots.
Cryptography is defined as the analysis of encryption or secretive writing of information with the use of mathematical & logical concepts in order to prevent data from being compromised. Because of the growing security issues around Internet of Things (IoT) & artificial intelligence (AI) based applications, this method has gained in significance in computer technologies for banking & healthcare systems, transportation, as well as other implementations. Although each cryptographic strategy is designed to have its own unique strength, the application of a single cryptographic strategy into a systems has certain drawbacks, as will be discussed below. For example, the symmetric key encryption approach is a cost-effective way of protecting information that does not sacrifice security in the process. The distribution of the private key, on the other hand, is a significant issue. The asymmetrical method, on either side, overcomes the problem of private key transmission; nevertheless, the independent approach is slower and uses more computer resources as comparing to symmetric encryption. While a hash function, on the other hand, produces a distinctive & fixed-length signatures for a communication in order to ensure information security, the technique is just a one-way function that is not possible to reverse. As an option to addressing the security flaws of individual cryptographic schemes, the inclusion of many cryptographic schemes, also known as the hybridization approach, is being suggested, which has the advantage of increasing the efficiency of information security while also discussing the problem of key transfer. Existing IoT & AI domains that have adopted hybrid methods have been recognized, and a study has been carried out as per classification of the domain under consideration. The security of the networks and the data sent over the network is a top priority for network providers or network operators. As a result, cryptographic methods are used to protect the data throughout the data exchange process and during different interactions. Traditional cryptographic methods, on either side, are well-known, because hackers are aware of the answer to the problem. As a result, a fresh type of cryptographic method is needed, one that increases the security & complexities of the data encryption while maintaining its simplicity. An innovative hybrid cryptographic approach for enhancing data security throughout networks transmission is presented in this article, and the consequences of its implementation and evaluation are discussed. Throughout a comparative performance study, the suggested cryptographic method was able to identify the most efficient & enhanced encrypted message.
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