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India's Development After 2014

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  India has witnessed significant development in various sectors since 2014. Here are some key points:     1. Infrastructure Development: India has seen remarkable progress in infrastructure development since 2014. The government has initiated projects such as the Bharatmala Pariyojana, the Agarmala project, and the Smart Cities Mission. These initiatives aim to improve connectivity, build ports, and develop sustainable cities.   Infrastructure development has been a key focus area for the Indian government since 2014. The government has initiated several major infrastructure projects across the country to boost connectivity and improve the overall quality of infrastructure in the country. Here are someexamples of the major infrastructure projects initiated by the government:   Bharatmala Pariyojana: The Bharatmala Pariyojana is a centrally-funded road and highways development program aimed at improving connectivity across the country. Under this program, the government plans
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Neurology

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  Neurology is the study of the nervous system, its structure, function, and disorders. It is a fascinating and rapidly evolving field that plays a crucial role in understanding and treating various neurological conditions. In this blog, we will explore some of the recent advances in neurology and how they are helping us better understand the brain and its functions. Neurodegenerative diseases Neurodegenerative diseases, such as Alzheimer's disease, Parkinson's disease, and Huntington's disease, are a group of disorders that affect the brain's function and structure. These diseases are caused by the loss of neurons, which leads to a decline in cognitive and motor functions. Recent studies have shown that neurodegenerative diseases are linked to inflammation in the brain, and that inflammation may play a key role in the development and progression of these diseases. Researchers have also discovered a new type of brain cell called the "gatekeeper cell," which pl
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Lock Variable

When a process or thread wants to enter the critical section, it first checks the lock variable to see if it is currently being held by another process or thread. If the lock variable is set, indicating that the critical section is already being executed, the process or thread waits until the lock variable is released by the current holder. Once the lock variable is available, the process or thread acquires the lock by setting the lock variable and enters the critical section. When the process or thread completes the critical section, it releases the lock by resetting the lock variable, allowing other processes or threads to acquire the lock and enter the critical section.
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Peterson's Solution

Peterson Sync Algorithm. Ankit Rajvanshi Peterson solution  The Peterson solution is a synchronization algorithm used in computer science to solve the critical section problem, which arises when multiple processes or threads are trying to access a shared resource concurrently. The critical section is a part of the program that accesses shared resources and needs to be executed atomically, i.e., without interference from other processes. The Peterson solution was proposed by Gary Peterson in 1981 and is a simple algorithm that allows two processes to access a shared resource without interference. The algorithm is based on two key concepts: mutual exclusion and progress. Mutual exclusion ensures that only one process at a time can execute the critical section. The algorithm achieves mutual exclusion by using two shared variables, turn and flag. The turn variable is used to indicate which process is currently allowed to enter the critical section, and the flag variable is used to indicate
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AI , Fuzzy Logic and Neuromorphic Engine

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Artificial intelligence (AI) is the branch of computer science that deals with the creation of intelligent machines that can perform tasks that would typically require human intelligence. AI has become increasingly important in recent years as the technology has advanced and become more widespread. One of the techniques used in AI is fuzzy logic, a form of logic that allows for degrees of truth rather than the binary true/false values used in traditional logic. Fuzzy logic was first introduced in the 1960s by Lotfi Zadeh, a professor at the University of California, Berkeley. Zadeh recognized that many real-world problems are inherently imprecise and that traditional logic, which is based on the assumption of precise and certain knowledge, was insufficient to deal with these problems. Fuzzy logic provides a way to represent and reason about imprecise and uncertain information. In fuzzy logic, instead of representing the truth value of a statement as either true or false, it is represen
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