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# Petanux GmbH: Artificial Intelligence Firm: Intelligence Meets Innovation

## Sitemaps
[XML Sitemap](https://petanux.com/sitemap_index.xml): Includes all crawlable and indexable pages.

## Pages
- [Data Privacy & Transparency Policy](https://petanux.com/privacy/): Data Privacy & Transparency Policy
- [Contact us](https://petanux.com/contact-us/): Contact Us Contact Us Have Any Projects Or
Share Feedback? Contact Form DemoFirst NameLast NameEmailSubjectYour MessageSubmit Form The Home of Machine Learning get Started Request A Demo
- [newResources](https://petanux.com/newresources/): Alex is a regular student with a remarkable story, living in a world where knowledge of personal finance is essential for success. Alex, frustrated by the difficulties of managing his own finances, used AlgoMind AI to completely alter his perspective on money.
- [newCaseStudyDetails](https://petanux.com/newcasestudydetails/): Customer ConnectionStrength
- [newCaseStudies](https://petanux.com/newcasestudies/): Case Studies Check Out How AlgoMind AI
Is Streamlining Our Users' Operations Explore More The Home of Machine Learning get Started Request A Demo
- [newFeatures](https://petanux.com/newfeatures/): Create a portfolio that highlights your background, abilities, and achievements. Raise your professional profile and get more favorable chances.
- [newAbout](https://petanux.com/newabout/): Here at AlgoMind AI, we’re revolutionizing the way people learn about data science and machine learning. Innovative tools and engaging content come together on our platform to foster a thriving community of learners. Come along with us as we unravel mysteries, spark creativity, and explore the unknown.
- [newHome](https://petanux.com/newhome/): #1 Product ofThe Week
- [Projects](https://petanux.com/projects/): Our funded AI projects are at the cutting edge of technological innovation, designed not only to advance scientific knowledge but also to deliver tangible benefits to various industries. By focusing on applied research, we ensure that the breakthroughs achieved in our labs can be seamlessly translated into real-world applications. These projects, supported by prestigious grants and collaborative partnerships, aim to solve critical sector-specific challenges, from optimizing manufacturing processes to enhancing predictive maintenance in logistics. The exploitation of these results empowers industries to adopt state-of-the-art AI technologies, driving efficiency, reducing costs, and fostering sustainable growth.
- [About Us](https://petanux.com/about-us/): Petanux is established in 2017 in Bonn, in the heart of Europe as a professional AI firm. Petanux assists businesses in realizing the potential of AI and intelligent systems by utilizing the most recent developments in industrial artificial intelligence.
- [Impressum](https://petanux.com/impressum/): Legal Notice (Impressum)
- [General Terms and Conditions](https://petanux.com/gtc/): General Terms and Conditions (GTC) of Petanux GmbH for AI Products and AI Services 
- [Home](https://petanux.com/): Artificial Intelligence is revolutionizing today's competitive world, and Petanux is at the forefront of this digital transformation.

## Services
- [AI Transformation Consultancy](https://petanux.com/service/ai-consultancy/): Tailored AI systems engineered for complex industrial challenges, delivering precise, GDPR-compliant solutions across sectors.
- [Custom AI Solutions](https://petanux.com/service/custom-ai-solutions/): Tailored AI systems engineered for complex industrial challenges, delivering precise, GDPR-compliant solutions across sectors.
- [AI Agents](https://petanux.com/service/ai-agents/): Secure LLM-based agents for private on-premise knowledge management, workflow automation, and enterprise chat.
- [RytAIlsy](https://petanux.com/service/rytailsy/): Modular AI suite for retail operations, combining loss prevention, shelf analytics, and in-store behavior intelligence.
- [AutoVision](https://petanux.com/service/autovision/): AI-powered system for automated, real-time vehicle damage detection — precise, consistent, and fully hosted in Germany.

## Projects
- [DigitalCitizen](https://petanux.com/project/digitalcitizen/): DigitalCitizen aims to empower citizens in digital competencies, including legal literacy (knowing and asserting digital rights and obligations), data literacy (interpretation, use, and protection of data), and protection literacy (learning resilience techniques and capability to self-defense by developing a 4D flipped classroom-inspired system that has micro-learning components and interactive mini-games to present the learning material in engaging, bite-sized components. The project will have the following results:
- [ARGUS Project](https://petanux.com/project/argus/): You are not disabled, you become disabled. This phrase from the disability movement refers to the fact that we need barrier-free environments in everyday life that promote health and quality of life and enable social and economic participation. This also includes the provision of food as one of the foundations of human existence. Thus, as a consumer, the person must be able to obtain information about goods in a self-determined manner and procure them independently. However, due to the text- and image-oriented design, visually impaired people have only difficult access to both the physical goods and the information offers. ARGUS demonstrates how innovative human-technology interaction (MTI) based on speech-based interaction can help visually impaired people to overcome barriers, experience shopping positively, and to shape their lives in a self-determined way, thus maintaining health and improving quality of life.
- [MoleVision Project](https://petanux.com/project/molevision/): The main goal of the MoleVision project is to develop an application based on deep machine learning algorithms that can be used by patients for the early detection of melanoma as distinct from benign nevi/moles. Ease of use in application and accuracy in diagnosis are the main features of MoleVision. Histopathologically validated image datasets are initially provided by the University Hospital Düsseldorf (UKD) and the University Hospital Bonn (UKB) as well as by two major skin centers (as associated partners). A deep neural convolutional network will be trained with the collected dataset to classify different types of benign nevi/moles and melanomas. One of the main features of MoleVision is online emergency support to rule out malignant skin cancers. To achieve this, a secure and encrypted communication channel between patients and dermatologists is also being implemented. Key highlights of MoleVision are (1) its higher accuracy through deep learning, (2) its functionality with less data volume through generative algorithms, (3) its secure communication channel between patients and medical professionals combined with a secure private cloud solution, and (4) secure and high-quality teledermatology through video consultation support, (5) innovative and smart dermoscopy hardware for home use to provide high-quality skin images and additional information for image classification.
- [SkoPS EU Project](https://petanux.com/project/skops/): According to the survey of the World Economic Forum, Digital Transformation, especially in Industry (Industry IoT / IIoT), is one of the top technological drivers of change for the future of jobs, employment, skills, and workforce strategy in the 4th Industrial Revolution. On one hand, the preparation of the European workforce for such an enormous diversity of skills in the field of digital transformation requires the support of the Higher Education Institutions (HEI) towards integrating IIoT skills. On the other hand, the pandemic situations negatively affect the quality of the support of HEIs in this respect and force the HEIs to limit their face-to-face activities and a sudden shift to online and distance learning as a result. For example, based on the survey on the impact of the COVID-19 on European Universities (May 2020,), 88 HEIs out of 92 HEIs have provided distance learning opportunities to 60% or more of their students, and 58 HEIs stated to have implemented online courses . As a result, the HEIs plan a quicker move with more funds to digital transformation. Also, the pandemic situation affects mobility matters. The survey also described that the COVID-19 crisis has negatively affected 86 out of 92 HEIs in student mobility and 81 out of 92 HEIs in staff mobility. Therefore, the activities including blended mobility formats (i.e. short physical mobility that is blended with virtual mobility) and the development of online courses and virtual support are of the utmost importance in response to the pandemics. Furthermore, for this development to be considered successful, the design of all the activities needs to make sure that they are not leaving anyone behind, and that they are ensuring equal opportunities among people of all backgrounds. In particular, the design of these activities needs to aim at shrinking the gender gap in ICT-related disciplines, which is currently causing both vertical and horizontal job segregation (Verdin et al, 2018) , and also to diminish inequalities due to disabilities. Only by taking these aspects into account, the HEIs can fulfill their commitment to society to contribute to the preparation of the European workforce that is truly inclusive.
- [IoTRAIN EU Project](https://petanux.com/project/iotrain/): According to the survey of the World Economic Forum, the Industrial Internet of Things (IIoT) is one of the top technological drivers of change for the future of jobs, employment, skills, and workforce strategy in the 4th Industrial Revolution. According to Forbes prediction, embedded smart sensors, remote monitoring systems, big data, data analytics, and machine learning will be considered as the top 5 engineering skills in 2020. In order to prepare society for such an enormous diversity, modernizing Higher Education (HE) towards integrating IIoT skills for engineers is an extreme requirement. The main goal of the IoTRAIN project is to achieve the modernization and internationalization of higher education in Iran and Iraq, taking into account the huge changes introduced by Internet technologies in society and business, and to design, develop and enact teaching, peer-production, and continuous improvement processes.
- [Bridge-US Project](https://petanux.com/project/bridge-us/): Today's networked world produces large amounts of data with great diversity in terms of volume and data sources, with data from industry 4.0 and self-organized systems or services gaining an ever-increasing share. The invention of new technologies in the field of Big Data, therefore, requires new know-how. A key path to the integration of value creation and digitization systems and related services in industry 4.0 is to support human decision-making with automated digital algorithms. The gap between human cognitive abilities and the need to understand large amounts of data is widening and therefore requires technological support and specially trained professionals. BRIDGE-US aims to strengthen the required capabilities as a Big Data Expert by comprehensively marketing research. The project includes various activities ranging from different types of workshops, the presentation of a Big Data Award to the marketing of Big Data Research Made in Germany through innovative promotional materials and social networking activities. The project is scheduled to start on 1 June 2019 and run for 18 months. Our focus is on research topics in the areas of supply chain management, logistics, smart cities, and digital processes in healthcare. In this project, joint German-American concepts are to be developed which complement each other and are to be continued after the end of the project in order to sustainably develop project results.
- [DISKOW EU Project](https://petanux.com/project/diskow/): Improving job knowledge, competencies, and skills of job seekers is essential to increase their employability and reduce the risk of poverty and social exclusion. According to the European Commission (EC), proper development and use of job knowledge, competencies and skills are key factors for success in finding the job and keeping it. In this regard, low and weak job knowledge and skills are identified to be the main obstacles to employability in the EU.
- [GRADANA: Innovation and Entrepreneurship for Higher Education Graduates through Data Analytics](https://petanux.com/project/gradana/): The GraDAna is a cross-national project bringing together higher education institutions (HEIs) and SMEs. It aims at curriculum development and staff training on the topic of data analytics.

## 
- [Python programming for IoT and data science](https://petanux.com/?p=3003)
- [Fundamental Machine Learning](https://petanux.com/?p=2298): This course provides a broad introduction to modern, approved, and most favorable Machine Learning (ML) approaches their obstacles and ways of tackling them. It helps you empower computers to learn and discover relationships on data. During this course, you will learn how to create ML models and modify their parameters by applying ML Algorithms to some given data to reach an objective. Furthermore, you will not only learn what the theoretical ideas behind Machine Learning Algorithms are but also gain hands-on experience by implementing these algorithms on real-world problems.
- [Big data management](https://petanux.com/?p=2311)

## 
- [Model Evaluation](https://petanux.com/?p=2310): Comparing Machine Learning ModelsComputational Learning Theory/ Probably Approximately Correct (PAC) Model of LearningFinite Concept Classes and Infinite Concept Classes (VC dimension)Model Evaluation
- [Unsupervised Learning](https://petanux.com/?p=2308): What is Unsupervised LearningClusteringK-means Performance Measurement of Unsupervised LearningLab 4/ Implementing k-means
- [Kernel Methods](https://petanux.com/?p=2306): Maximum Margin ClassifiersSupport Vector Machines (SVM)Lab 2/ Implementing SVM
- [Neural Networks](https://petanux.com/?p=2304): Biological MotivationPerceptronMultilayer PerceptronLearningLab 2/ Implementing Multilayer Perceptron from scratch Quiz
- [Problem of over/undertraining](https://petanux.com/?p=2302): Underfitting/ OverfittingRegularizationCross-validationLab 1/ Implementing Linear/Logistic RegressionQuiz
- [Introduction of Machine Learning](https://petanux.com/?p=2300): History of Machine LearningWhat is Machine Learning