The Tech Castle

    Face recognition is the verification of a person by a machine using their facial features. It is a type of biometric identifier popularly used to authenticate users and for access control.   It uses the physical pattern of the face such as the eyes, lips, etc. to uniquely identify the person and convert it into a unique mathematical equation.   Working: Facial recognition works in three steps: detection, analysis and recognition. 1) Detection: The camera detects the face or finds the face in an image that may contain many faces be it in front or side profile using various algorithms and ML. One of the simplest features to detect in a face is the eyes, which are used by these algorithms to find a face. 2) Analysis: The image captured is analyzed. The software basically reads the geometry of our face i.e. distance between eyes, shape of cheekbones, depth of eye sockets, distance between nose and mouth and the contour of our ears, lips, chin etc. Ba...

  What is 3D Scanning? 3D Laser Scanning is a non-contact, non-destructive technology that uses a line of laser light to digitally capture the shape of physical objects. 3D laser scanners generate "point clouds" of data from an object's surface. In other words, 3D laser scanning is a method of capturing the exact size and shape of a physical object into the computer world as a digital 3-dimensional representation. 3D laser scanners capture free-form shapes and measure fine details to quickly generate highly accurate point clouds. 3D laser scanning is ideal for the measurement and inspection of contoured surfaces and complex geometries that require massive amounts of data for accurate description and where using traditional measurement methods or a touch probe is impractical.process :3D Laser Scanning Data Acquisition. CLASSIFICATION 1. No Contact Scanning: Millions of points on the xyz coordinate system can be easily captured via non-contact scanning. This data prov...

  ChatGPT is an artificial intelligence chatbot developed by OpenAI and launched in November 2022. It is built on top of OpenAI's  GPT-3 family of large language models and has been fine-tuned (an approach to transfer learning) using both supervised and reinforcement learning techniques. ChatGPT was launched as a prototype on November 30, 2022, and quickly garnered attention for its detailed responses and articulate answers across many domains of knowledge. Its uneven factual accuracy, however, has been identified as a significant drawback. Following the release of ChatGPT, OpenAI's valuation was estimated at US$29   billion in 2023 . Chat bots like GPT are powered by large amounts of data and computing techniques to make predictions to string words together in a meaningful way. They not only tap into a vast amount of vocabulary and information, but also understand words in context. This helps them mimic speech pat...

  FUTURE OF AI The "Age of With," in which AI is used to augment and improve human employment, has here. How will quickly advancing artificial intelligence technology affect how we live and work in the future? In order to help you see the forest for the trees—and the forests beyond—we investigate AI's development, existing capabilities, and potential future applications. In almost every sector, artificial intelligence is influencing how people will live in the future. It already serves as the primary force behind developing technologies like big data, robotics, and the Internet of Things, and it will continue to do so for the foreseeable future. In the years and decades to come, artificial intelligence (AI), a genuinely ground-breaking achievement of computer science, will be a fundamental part of all contemporary software. This both poses a threat and a chance. Both defensive and offensive cyber operations will be augmented by AI. Additionally, new cyberattack tech...

  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 da...

  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 ...