Transform your business with innovative Machine Learning Solutions from dida
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Computer Vision
Learn how we teach your infrastructure to see
Natural Language Processing
Automate processes which contain text or speech
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Learn what we can do for you in any industry and get ideas for applying AI to your business, as well as projects we've completed.
ML Expert Talk
In our free 1 hour Tech Talk one of our ML experts will present a topic selected by you.
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News
News on projects, webinars, events and latest achievements from dida
Book a Tech Lunch
In 45-60min one of our ML experts will present a selected topic
Jobs
Work in a multicultural and dynamic team
Press
Current information about dida for journalists and members of the press
Webinars
We offer regular webinars on various topics related to Machine Learning
Recent webinars
Took place on November 25th, 2021
ML for Remote Sensing: Analyse satellite data automatically
Jona Welsch
Machine Learning Project Lead
Moritz Besser
Machine Learning Consultant
Took place on October 14th, 2021
Real Added Value from ML Projects - Our Success Factors
Petar Tomov (PhD)
ML Project Manager
Philipp Jackmuth
Took place on June 29th, 2021
NLP trend: profitably integrating neural language models into business practice
Konrad Mundinger
Machine Learning Scientist
Took place on November 24th, 2020
Recurrent neural networks: How computers learn to read
Fabian Gringel
Machine Learning Scientist
Took place on October 27th, 2020
Automated answering of questions with neural networks: BERT
Mattes Mollenhauer
Machine Learning Scientist
Took place on September 24th, 2020
Semantic search and understanding of natural text with neural networks: BERT
Konrad Schultka (PhD)
Machine Learning Scientist
Jona Welsch
Machine Learning Project Lead
Took place on May 28th, 2020
Labeling Tools - The second step on the way to the successful implementation of an NLP project
Fabian Gringel
Machine Learning Scientist
Took place on April 23rd, 2020
Text recognition (OCR) - The first step on the way to a successful implementation of an NLP project
Fabian Gringel
Machine Learning Scientist
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