12/09/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
An AI prompt is a sentence or question generated by an AI (artificial intelligence) to get a specific type of answer from the user. These answers are then in turn used to generate new questions or sentences that lead to an ongoing dialogue. AI prompts are an important part of machine language processing and are often used to train chatbots and other AI-driven systems.
12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Industry 4.0 is a concept that describes the digital transformation of industry. It refers to the fourth industrial revolution, in which machines, production facilities and devices are networked to exchange data and automate production. It builds on the previous industrial revolution and uses advanced technologies such as artificial intelligence, machine learning, the Internet of Things and robotics. Industry 4.0 can help increase productivity, optimize processes and accelerate innovation.
12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
DeepTech is a term used to describe technical innovations that are developed based on sophisticated technologies and algorithms. These technologies are often based on complex analytics and machine learning. They are commonly used in industries such as artificial intelligence, robotics, autonomous systems, biotechnology, and quantum computing.
12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Natural Language Processing (NLP) is a subfield of Artificial Intelligence that deals with natural language processing. It deals with the analysis, processing and generation of natural language by computers. The goal of NLP is to enable computers to understand and process natural language. For example, they can check text, recognize the meaning of a sentence, or analyze the mood in a text.
12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Pattern recognition is a subfield of Artificial Intelligence that deals with the automatic detection of patterns in data. This technique is used to analyze and classify patterns in data to make decisions, identify trends, and make predictions. Pattern recognition can also be used to distinguish between normal and undesirable images, languages, patterns, and designs to prevent malicious actors or harmful content from gaining access to the system.