Algorithmus Schmiede GmbH
Algorithmus Schmiede GmbH Alternatives
Profile Overview
About Algorithmus Schmiede GmbH
The Algorithm Forge takes on research and development tasks in the fields of data science, data analysis, mathematics and physics. Our employees hold doctorates in natural sciences.
Our focus is on the reliability and accuracy of the algorithms we develop. Our customers mainly come from the industrial environment, where incorrect forecasts can lead to downtimes or even recalls.
The following are some specific services:
- Software development in the field of AI / artificial intelligence
- Algorithm development: e.g. Monte Carlo, image processing, mathematical optimization
- Development of industrial software
- Lectures / keynotes on the topic AI / artificial intelligence / AI / artificial intelligence: Both on the basics of AI and on practical use cases in an industrial context
- Programming in Python, C, C++ / Cpp / C Plus Plus, Fortran, Mathematica
- Natural Language Processing / language processing: use of Large Language Models (LLM) such as ChatGPT and development of complex tasks in the field of language processing: e. g.e.g. categorizing documents, extracting information from continuous text
- Mathematical optimization problems: solving with methods of varying complexity from linear optimization to individual algorithms, e.g. https://www.algorithmus-schmiede.de/komplexe-optimierungsaufgaben/
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Locations
Video
Services
- Software Development: 20 %
- Artificial Intelligence: 70 %
- BI & Big Data: 5 %
- IT Consulting: 5 %
Artificial Intelligence
- Machine Learning : 40 %
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Modeling Based on Entropy Force: 10%
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Image Processing: 30%
- Pattern Analysis : 5 %
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Speech & Text Processing: 15%
Programming & Scripting
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C Plus Plus (C++): 20%
- Python : 70 %
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C: 5%
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Other: 5%
Consulting
- Digital Strategy : 5 %
- Digital Transformation : 5 %
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IT Strategy: 5%
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Project Management: 85%
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Team
Dr. Markus Dutschke:
- Data scientist and algorithm developer
- Owner, self-employed since Sept. 2018
- Algorithm developer
- PhD in theoretical physics
- Python, C++, Fortran
- Monte Carlo simulations, reinforcement learning, numerics, software architecture
- PhD: Algorithm for increasing the accuracy of ACAR experiments
- Master's thesis: Monte Carlo (Metropolis Hastings) simulation of electrons in the crystal lattice
- Bachelor's thesis: Parameter optimization of quantum mechanical switching processes
Dr. Marc Alexander
- Data Scientist and Algorithm Developer
- Permanent employee since Aug. 2021
- PhD in theoretical physics Python, C++, Mathematica
- Computer vision: Template matching, differential equations, C++-Python interfaces
- PhD: Simulation of quantum mechanical many-body systems
- Master thesis: Numerical analysis of wave functions
- Bachelor thesis: Numerical solution of differential equation systems
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Portfolio
Key Clients
Heidelberger Druckmaschinen AG Soniverse Softwareentwicklung T-Systems International GmbHDownloads
Projects
Automatic planning of building plots
Case Study by Algorithmus Schmiede GmbH
Description
Are you faced with a highly complex optimization problem? A problem that changes depending on the situation. At the same time, you are already lacking the approach to find generally valid solutions?
Challenge
For example: Optimal number of machines and models in the production plant Correct prioritization of orders depending on work steps, urgency and synergies Optimal arrangement of transport networks and storage capacities for all future market developments
Solution
We structure your problem and make simplifications in the right places that do not impair the quality of the solution, but at the same time reduce complexity. During implementation, we draw on powerful optimization libraries and develop individual modules for your problem.
Results
At the end, you receive reliable and practical solutions:
- Increased throughput
- Resilience against unfavorable constellations
- More planning security
Project description: https://www.algorithmus-schmiede.de/komplexe-optimierungsaufgaben/
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