Computer viruses are malicious software programs designed to replicate themselves and spread from one computer to another. They are often attached to files, programs, or documents and can cause various types of damage to a computer system. What is a Computer Virus? A computer virus is a type of malware that infects a computer system by inserting its code into legitimate programs or files. When these infected files are executed or accessed, the virus activates and starts its malicious activities, which can include: 1. Replication:- Viruses can replicate themselves by attaching their code to other files or programs. This allows them to spread to other computers via infected files, networks, or removable storage devices. 2. Data Corruption:- Some viruses are designed to corrupt or delete data on the infected computer. This can cause loss of important files, documents, or even system files crucial for the operating system's functionality. 3. Unaut...
How to maintain our healthy body in technical world day routine Maintaining a healthy body in the technological world is important for overall well-being. Here is a simple daily routine: 1. Morning routine: Wake up early: Start your day with plenty of time for a healthy morning routine. Hydration: Drink a glass of water to rehydrate your body. Stretching or yoga: Loosen your muscles and improve flexibility. 2. Weekdays: Regular breaks: Take short breaks every hour to stand, stretch, and move around. Eye exercises: Reduce eye strain by focusing on distant objects for a few minutes. Check posture: Maintain good posture to avoid back and neck problems. 3. Lunch Break: Balanced diet: Include a mix of proteins, vegetables and whole grains. Short walks: Take a short walk to boost circulation and clear your mind. 4. After Work: Exercise routine: Include a combination of cardio (running,...
The road map for AI engineering The road map for AI engineering typically includes the following key steps: 1. Fundamental Knowledge: Start with a strong foundation in mathematics (linear algebra, calculus, statistics), computer science (algorithms, data structures), and machine learning concepts. 2.Programming Skills Learn programming languages commonly used in AI, such as Python. Understand libraries and frameworks like TensorFlow, PyTorch, and scikit-learn. 3. Data Handling: Gain proficiency in data preprocessing and manipulation, as clean and well-structured data is essential for AI projects. 4.Machine Learning: Study the core concepts of machine learning, including supervised, unsupervised, and reinforcement learning. Learn about model selection and evaluation. 5. Deep Learning: Dive into neural networks and deep learning. Understand architectures like convolutional and recurrent neural networks (CNNs and ...