AI |
AIArtificial Intelligence - Learn about AI tech and how to use this technology in your company or personal life. ![]() |
AI is Artificial IntelligenceAI is Artificial Intelligence, a technology that can help to take smart choices in your personal life. Learn how to use the AI at your service and get more benefits of this technology. AI can help you to create applications for mobile devices and web servers. You can use AI to create smart software with the most advanced technology. |
What is AIAI means Artificial intelligence. Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. What is Artificial Intelligence? The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving. |
How to use AILearn how to to use AI in your business and personal life. Read the tutorials to learn more about AI, Artificial Intelligence, Machine Learning, Deep Learning, Data Visualization and Analysis. |
AI in Software DevelopmentLearn how to use AI technology in software development and create smart business projects. AI is revolutionizing software development, making coding faster, more efficient, and more secure. Whether you’re building enterprise applications, cloud-native solutions, or AI-driven platforms, AI-powered tools enhance productivity and innovation. Artificial intelligence and datascience at NIH |
AI Tools for Software DevelopmentAI Technology and Tools in Software Development Artificial Intelligence (AI) is transforming software development by automating tasks, optimizing workflows, and enhancing decision-making. AI-driven tools help developers write code, debug applications, and improve efficiency. Here’s a deep dive into AI’s role in modern software development: |
Code Generation with AIAI-Powered Code Generation and Assistance GitHub Copilot - Uses machine learning to suggest code snippets based on natural language prompts. - Supports multiple programming languages and integrates with Visual Studio Code. OpenAI Codex - Converts natural language descriptions into executable code. - Helps developers automate repetitive coding tasks. Tabnine - An AI-driven autocomplete tool for faster coding. - Supports multiple IDEs and programming languages. |
AI for testingAI in Debugging and Testing DeepCode - Uses AI-powered static analysis to detect vulnerabilities in code. - Provides real-time suggestions for bug fixes. Diffblue Cover - Automates unit test generation using AI. - Improves code reliability and security. AI-Based Test Automation - AI tools generate adaptive test cases based on historical data. - Enhances software quality and security. |
AI for Cloud ComputingAI in DevOps and Cloud Computing Google Cloud AI - Provides AI-driven automation for cloud applications. - Supports predictive analytics and anomaly detection. Azure AI - Integrates machine learning models into cloud-based applications. - Optimizes CI/CD pipelines with AI-driven insights. AI for Resource Allocation - AI tools optimize cloud resource usage to reduce costs. - Improves server performance and scalability. |
AI SecurityAI in Security and Threat Detection AI-Based Cybersecurity - AI detects anomalies and security threats in real time. - Helps prevent data breaches and cyberattacks. Automated Vulnerability Scanning - AI tools analyze code repositories for security flaws. - Provides recommendations for patching vulnerabilities. |
AI Software Development - Learn how to use AI tools for create software and applications. |
AI with a Local LLM for Linux - Installing AI with a Local LLM for Linux with VLLM, Ollama and llama.cpp |
Artificial Neural Networks (ANN) |
Machine Learning (ML) - Data Science, Algorithms, Linear Regression, Exploratory Data Analysis, Data Visualization, Training and Testing |
Deep Learning and Artificial Intelligence |
Data Science uses scientific methods, processes, algorithms |
PyTorch in machine learning and AI.
What is PyTorch? PyTorch is an open-source machine learning library for Python, widely used for its ease of use and flexibility in building and training deep learning models. It provides a dynamic computational graph, which allows for faster prototyping and more intuitive model building compared to traditional static computation graphs. PyTorch also integrates seamlessly with the most popular Python libraries, making it a popular choice among researchers and practitioners alike. Its popularity and active community make PyTorch a go-to choice for many deep learning projects, and it is used in a variety of industries, including computer vision, natural language processing, and reinforcement learning. |
Anaconda and AI Software Development - Learn how to use the anaconda IDE and tools to create software with AI for advanced technology services and applications. |
What are the 3 C's of AI?
Any Intelligent system has three major components of intelligence, one is Comparison, two is Computation and three is Cognition. These three C's in the process of any intelligent action is a sequential process. |