The Tech Castle

  CONVERSATIONAL AI AND CHATBOT   Conversational AI follows the same principle and builds interaction between humans and machines. It allows machines to understand, respond, and react like a real conversation with cognitive human skills. Conversational artificial intelligence  is a way to simulate human communication. The main components of conversational AI are natural language processing (NLP) and machine learning (ML). Based on these two components, you can build a virtual interlocutor. It can answer and ask questions, have a conversation, joke, and anything else that was programmed into the conversational AI. The study of natural language in AI is known as Natural Language Processing (NLP). NLP at the phonetic (relationships between sounds) & phonological levels includes Speech Analysis, Speech Transcription / Speech to Text (STT), Speech Synthesis / Text to Speech (TTS), etc. The main concept behind conversational ai is machine learning algorithms and the datasets given t

  Quantum computing What Is Quantum Computing? Computer science's application of quantum theory is known as quantum computing. The behaviour of energy and matter at the atomic and subatomic scales is explained by quantum theory. Subatomic particles, such electrons or photons, are used in quantum computing. These particles can exist simultaneously in two states (i.e., 1 and 0) thanks to quantum bits, or qubits.   Linked qubits may theoretically "use the interference between their wave-like quantum states to accomplish calculations that would otherwise take millions of years." In order to encode information in bits, traditional computers nowadays use a binary stream of electrical impulses (1 and 0). Compared to quantum computing, this limits their ability to process information. Understanding Quantum Computing : The 1980s saw the development of the field of quantum computing. It was found that some computational issues could be solved more effectively by quantum

  EDGE COMPUTING   What is Edge Computing? Edge computing is a distributed IT architecture that brings computing resources out of clouds and data centres and places them as close as feasible to the source. Reduced latency needs are achieved mostly by edge computing, which also reduces network costs and processes data.   The edge might be a router, ISP, routing switch, multiplexer, integrated access device (IAD), etc. The fact that it should be close to the device geographically is the most important aspect of this network edge. How Does Edge Computing Work Data is often created on a user's computer or another client programme in a traditional environment. The data is subsequently transferred to the server, where it is stored and processed, via channels like the internet, intranet, LAN, etc. This still stands as a tried-and-true method for client-server computing. However, traditional data centre infrastructures are finding it challenging to keep up with the expone