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Computer Science Articles
Page 14 of 53
Difference between Long-Term and Short-Term Scheduler
In the context of computer systems, a program or task in execution is called a process. In modern computers, several types of processes are used. The process of selecting one process from a bunch of processes and assigning it to the processor for execution is referred to as scheduling. The component of the system that accomplish this task is called a scheduler. There are two main types of schedulers, namely, Long−Term Scheduler and Short−Term Scheduler. In this article, we will discuss the important differences between long−term scheduler and short−term scheduler. But before that, let's start with some basics of long−term ...
Read MoreDifference between Thread ID and Thread Handle
In multi−threaded programming, threads are lightweight units of execution that enable concurrent execution within a single process. Threads share the same memory space and resources of the process, allowing for efficient utilization of system resources. To work with threads, developers often need to distinguish between different threads and manage their execution. This is where the concepts of thread ID and thread handle come into play. In a multi−threaded programming environment, threads are independent units of execution within a process. Each thread has its own unique identifier and a corresponding handle that can be used to manipulate and manage the thread. ...
Read MoreDifference between Traditional and Reactive Computer System
The terms "traditional computer system" and "reactive computer system" are not widely used or well−defined in the field of computer science. However, based on their general meanings, we can discuss the possible differences between these two concepts. What is Traditional Computer System? A traditional computer system refers to a standard computing model that follows a sequential execution flow. It typically operates on a set of predefined instructions or programs and performs computations in a deterministic manner. In a traditional computer system, the processing of tasks is usually initiated by the user or by a scheduled program, and the system responds ...
Read MoreDifference between System Call and Library Call
In computer programming, system calls and library calls are essential mechanisms used to interact with the underlying operating system and perform various operations. While they both involve invoking functions or routines, there are distinct differences between system calls and library calls. Understanding these differences is crucial for developers to efficiently utilize these mechanisms in their applications. This article explores the dissimilarities between system calls and library calls, shedding light on their respective characteristics and functionalities. What is System Call? A system call is a mechanism provided by the operating system that allows user-level programs to request services from the operating ...
Read MoreDifference between system() and execl() Call
In programming, system−level calls are used to interact with the operating system and perform various tasks. Two commonly used system−level calls are system() and execl(). While both these calls allow executing external programs, they differ in their functionality and usage. What is system() Call? The system() call is a higher−level function that allows the execution of shell commands or scripts. When system() is invoked with a command as its argument, it starts a new shell process, which then interprets and executes the specified command. The system() call provides a simple way to interact with the command line and execute external ...
Read MoreDifference between Virtualization and Hypervisor
Virtualization and hypervisor are closely related concepts in the field of computer science, specifically in the domain of system virtualization. While they are interconnected, they represent different aspects of the virtualization technology. What is Virtualization? Virtualization is a technique that allows the creation and operation of multiple virtual environments or virtual machines (VMs) on a single physical computer or server. It enables the sharing of hardware resources, such as processing power, memory, and storage, among multiple operating systems or applications. Each virtual machine functions as an independent and isolated entity, running its own operating system and applications. There are 4 ...
Read MoreNatural Language Processing: Moving Beyond Zeros and Ones
Natural Language Processing (NLP) has made remarkable strides in recent years, revolutionizing the interaction between computers and human language. By surpassing the constraints of binary code consisting of zeros and ones, NLP has facilitated more sophisticated and nuanced communication between humans and machines. This article explores the advancements in NLP, delving into the realm of natural language understanding, sentiment analysis, and language generation. Understanding Natural Language Processing Natural Language Processing, as its name implies, involves the computational understanding and manipulation of human language. It encompasses a wide range of techniques and algorithms that enable machines to analyze, interpret, and ...
Read MoreMost respected Machine Learning researchers and their contributions
Machine learning is only possible with all great minds. You should read the works of the top experts in machine learning if you want to learn more and widen your views. Learning from the brightest minds in science is fascinating. Many different types of influential people, educators, and business owners are among them. Their knowledge has the potential to improve the planet. Here is a list of all the people your machine learning research career needs you to know. Gain knowledge and be motivated to seek out new information. Mr. Geoffrey Hinton Who else would be at the top of ...
Read MoreIs Machine Learning reaching a Plateau?
Machine learning is an artificial intelligence (AI) method that trains computers to improve over time by "learning" from their mistakes. However, worries are growing that as the field reaches a plateau, progress in machine learning will slow or stop. This article explores the possibility that machine learning has reached a plateau and the possible outcomes if this is the case. The Current State of Machine Learning The recent fast growth of machine learning may be credited with several significant scientific advances, and deep Learning is one of the most revolutionary concepts. It uses neural networks to understand complex data patterns. ...
Read MoreDifference between Deep Learning and Reinforcement Learning
Our level of artificial intelligence (AI) maturity, as well as the types of challenges that AI might be able to assist us in resolving, grows in tandem with the ever-increasing volume of data that we produce. This data, along with the incredible computing power that is now available for a price that is affordable, is what is fuels the tremendous growth that has been seen in AI technologies, and it is also what makes deep learning and reinforcement learning possible. In this article, I will explain the difference between Deep Learning and Reinforcement Learning by providing definitions that are clear ...
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