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Algorithms

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  • KI Frameworks - Libraries fuer Kuenstliche Intelligenz

AI Frameworks

2023-12-16T10:14:26+01:00Tags: , , , , , , , , , , , , , , , , , , , , , , , , , , , , |

AI frameworks are collections of software libraries, tools and guidelines that are specifically designed for the development of artificial intelligence (AI) are designed. Such frameworks provide developers with a structured starting point with a powerful AI environmentin which they can develop and implement algorithms for machine learning (ML), deep learning, natural language processing (NLP) and other AI-related technologies. Top 10 AI frameworks, Types of AI frameworks, Technological aspects of AI frameworks Application areas and use cases of AI frameworks

  • Artificial Intelligence Act - AI Act der EU

Artificial Intelligence Act – All the facts about the EU’s AI Act

2025-01-11T10:02:52+01:00Tags: , , , , , , , , , , , , , , , , , , , , |

What is the EU's Artificial Intelligence Act - AI Act for short? The Artificial Intelligence Act (AI Act) is the world's first binding law regulating artificial intelligence (AI). The AI Act was adopted by the European Commission on March 13, 2024, after being introduced as a legislative proposal in April 2021. The AI Act is thus part of a broader European Union (EU) AI strategy that aims to harness the potential of AI while minimizing risks, maximizing opportunities, combating discrimination and ensuring transparency in the use of AI technologies.

  • Machine Learning - Künstliche Intelligenz

Machine Learning

2023-12-10T19:11:37+01:00Tags: , , , , , , , , , , , , , , , , , , , , , , , , , |

Machine learning is a branch of artificial intelligence (AI) that deals with the development of algorithms and models that enable computers to learn from experience and data, recognize patterns and make predictions without being explicitly programmed. The aim of machine learning is to enable computers to learn independently from data and extract information in order to master complex tasks. We explain which concepts are used to do this and how predictions can be made by adapting models to existing data.

  • Tracing Microservices - Visualizing Data Flow and Performance

The image showcases a structured representation of a microservices architecture analyzed with tracing tools. Each colored box represents a microservice, interconnected by arrows indicating data flow. Timestamps, labeled as "latency in ms," are shown alongside arrows to highlight the performance of each service call. A vertical timeline on the right provides a chronological view of request processing across the entire architecture, helping developers identify bottlenecks, monitor system health, and improve efficiency. This visualization emphasizes transparency and control in managing distributed systems.

Tracing

2025-01-13T15:47:25+01:00Tags: , , , , , , , , , , , , , , , , , , , , , , , |

What is tracing? ✅ In software programming, tracing refers to a function for analyzing programs. Tracing is also used for troubleshooting in programs or apps / web apps. Tracing analysis is a precise process tracing.

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