Welcome to Tokeya

Tokeya is a young company located in Würzburg, Germany, offering services in the fields of

We focus on time series analysis with articfical neuronal networks and methods of the system dynamics.

As a first taste of our range of services you can play a little game against our turtle Toki.

Have a look at our website and our offer and feel free to contact us. We are happy to hear from you!

News & events

  1. KI-Soirée am 29.09.19 im Torturmtheater Sommerhausen

    The questions raised in the current play “Die Mitwisser” of Torturmtheater Sommerhausen are of high social relevance. That is why we want to discuss these issues with you in an AI soirée. The questions of the potential benefits of AI will be discussed using examples primarily from the world of medicine and the question of damage will be discussed using examples primarily from the world of media and culture.

    The AI Soirée will take place on 29 September 2019 from 5 p.m. to 7.30 p.m. in the foyer of the Torturmtheater. We cordially invite you to attend, please register in good time. The number of seats is limited. kartenbestellung@torturmtheater.de or on match days from 16.00 hrs on 09333-268. Admission is free.

    The complete invitation is available for download as a PDF file.

  2. “Die Mitwisser“ at the Torturmtheater Sommerhausen - a play about KI

    “Die Mitwisser” - an outstanding play by Philipp Löhle, was excellently staged by Angelika Relin and Ercan Karacayli. The performance of the actors was excellent. We warmly recommend a visit to the play in the Torturmtheater Sommerhausen.

    In a playful way, the piece illustrates the incapacitation of people through AI-based online techniques, the development of which nowadays takes place in such a rapid manner that people often feel overwhelmed by it without really understanding it. In this respect, the presented form of the AI (“Mr. Kwant”) corresponds extremely well as a counterpart to our IASON project, so to speak as the other side of the mirror.

    In the following we refer to the program booklet of the play. An essay on the role of the KI, written jointly by Dr. Thomas Fritsch, our CEO, and Angelika Relin, the director of the Torturmtheater Sommerhausen, as the result of a fruitful dialogue, can be read here as a PDF file (German only).

  3. News about “Bob Rob” at Heise
  4. Talk by Dr. Rüster with results of the cooperation with Tokeya

    Dr. Christian Rüster, Chief Innovation Manager at A.Eberle GmbH & Co. KG, kindly provided us with the slides of his talk at the Smart Remote Service Conference on 16.09.18 in Berlin. On pages 20-26 he presents the results of our successful cooperation in the application area “Time Series Analysis and Anomaly Detection with Neural Networks in Power Grid Data”. The slides can be viewed here as a PDF file.
  5. IASON project approved for funding by the BMBF and launched

    We are pleased to announce that the project IASON applied at BMBF on 15.10.18 has been approved for funding. The project profile with brief information on the project can be found on the BMBF's “Bringing Technology to People” page. Detailed information will soon follow on a separate project page.
  6. Tokeya at the 33rd Art Days Sommerhausen

    The company Tokeya Deep Data Dive GmbH & Co. KG together with the company Awesome Technologies Innovationslabor GmbH presented the painting robot “Bob Rob” at the 33rd Art Days Sommerhausen.

    The two companies joined forces at an early stage with Prof. Dr. Doris Aschenbrenner (TU Delft) to show the audience of art lovers and artists the artistic possibilities that result from the application of artificial intelligence (AI) in combination with robotics. The response during the 33rd Art Days Sommerhausen from 20.06. to 23.06.19 was very positive.

    On Saturday, 22.06.19, a panel discussion about art and artificial intelligence took place in the artist cellar art & weise. You can view the press release hereto as a PDF file. An event film about the Kunsttage and the “Artificial Artist” can be seen on YouTube. The report of the evenings news of the Bavarian Broadcasting Station can be found in the BR-Mediathek.

  7. “MoMoCa” becomes “ToCA”
    Due to the meanwhile larger deviation of our MoMoCa test from the original MoCa test, we rename it to “ToCA test”. Meanwhile, tasks from the DemTect and the SAGE test as well the Stroop test have been integrated: to the ToCA test
  8. Funding application to the BMBF for early detection and individual monitoring of Alzheimer's dementia using AI methods

    We are pleased to announce that Tokeya Deep Data Dive GmbH & Co. KG in cooperation with the Chair of Clinical Psychology and Psychotherapy (KliPs) at the Friedrich-Alexander-University Erlangen-Nuremberg (FAU) has submitted an application to the Federal Ministry of Education and Research (BMBF) for the early detection and individual monitoring of Alzheimer's dementia (“IASON”).

    The content of the grant application relates to the early diagnosis of Alzheimer's dementia through the combination of neuropsychological tests with advanced EEG time series analysis and the use of an intelligent emotional-empathetic digital assistant (“IEEDA”) to monitor the course of the disease through continuous speech analysis in the patient using AI methods.

  9. MoMoCa: Demonstration of an online dementia screening test
    Tokeya Deep Data Dive GmbH & Co. KG is developing an online test for research purposes to assess the cognitive ability of potential dementia patients: to the MoMoCa test
  10. Application for funding from the BMWi for adaptive load control using AI methods and line regulators

    We are pleased to announce that Tokeya Deep Data Dive GmbH & Co. KG and A. Eberle GmbH & Co. KG, in cooperation with Frauenhofer ISE, the Chair of Energy Systems and Energy Management at Kaiserslautern University of Technology and innogy SE, have submitted a joint funding application to the German Federal Ministry of Economics (BMWi) entitled “LVFACDS - LowVoltage Flexible Alternating Current Distribution Systems”.

    The content of the grant application refers to the development of an intelligent load flow control system with prediction of the state of the power grid by means of AI methods in order to ensure an intelligent adaptation of the load with increasing electromobility and the use of power flow controlling line regulators for the adaptive operation of low-voltage grids.

  11. Alzheimer dementia research using AI: analysis of EEG data

    Tokeya Deep Data Dive GmbH & Co. KG is investigating EEG data from patients with MDD (major depression disease) and AD (Alzheimer's disease) using methodsfrom AI, time series analysis and the theory of dynamic systems. The aim of these analyses is to develop methods that considerably improve the early detection of Alzheimer's dementia and at the same time provide a differentiation of age-related depressions in order to prevent mistreatment.

    In the following pictures, the first picture shows the course of the EEG for one electrode at two test persons. The second picture shows the associated “Higuchi Fractal Dimension” (HFD).The lower the HFD, the smoother the EEG raw data curve, even if it has more outliers than the reference curve. If, for example, the HFD in depression patients has a value below 1.6, this is significant for the presence of MDD. In Alzheimer's the same applies modified: the lower the activity, the smoother the curve and the lower the HFD.In this way, a complete EEG data analysis using a classification with advanced AI methods provides an early diagnosis of the presence of the disease.

  12. Application for funding in the context of Horizon 2020 for the Health Index of transformers in the electricity grid

    We are pleased to announce the application for funding in the context of the EU's Horizon 2020 programm, sub-programm SMEInst, on the subject of “Extending the service life of transformers in the electricity grid” in cooperation with A. Eberle GmbH & Co. KG and bitnova SRL (Bucharest, Romania).

    The content of the application for funding concerns the joint development of a TFIHM (Transformer Fleet Intelligent Health Manager) using methods of AI making an assessment of the current health status of transformers and a prediction of their remaining lifetime

    .
  13. Development work in the field of image recognition for autonomous driving completed
    We are pleased to announce that we have successfully completed development work for a major automotive supplier to its great satisfaction. The recognition rate for image recognition in the context of autonomous driving was significantly increased by an intelligent statistical procedure for selecting the most suitable samples for learning a CNN (Convolutional Neural Network) from a large sample set, while at the same time reducing the learning sample set to one third of the original sample set.
  14. Data privacy statement
    The current data privacy statement is available in the „Contact“ menu at „data privacy statement“. It is available only on German.
  15. Project PoPAI for A. Eberle GmbH & Co KG successfully completed

    We are pleased to announce that the project PoPAI (Power Prediction by AI) was successfully accepted by the company A. Eberle GmbH & Co. KG Nuremberg on 29th March 2018.

    The PoPAI project dealt with the prediction of important parameters in the electricity grid such as voltage and frequency. For this purpose, standard models such as ARIMA and artificial neural networks were implemented. With a practical graphical frontend (web interface) the parameters of the prediction (period of the prediction, retrospective time lag window, data resolution, …) can be set and the results can be visualized. The quality of prediction was good, best was the prediction of the neural network.

    An example prediction by the neural network (red) for 6 hours
    and for 48 hours

  16. Order from A. Eberle GmbH & Co. KG Nuremberg
    We are extremely pleased to announce our first order for 2018. We will be responsible for the company A. Eberle GmbH & Co. KG Nuremberg to implement the introduction of AI. The focus here is on devices from A. Eberle for the measurement of power quality parameters of power grids. AI is used here for time series prediction. By means of neural networks, qualitative changes in supply voltage and supply frequency are to be detected as well as faults in the networks are to be located.
  17. Talk by Dr. Thomas Fritsch at the 8th Regensburg Transformer Symposium

    At the 8th Regensburg Transformer Symposium Dr. Thomas Fritsch will give a talk entitled „On the Current State of Artificial Intelligence (AI) and its (possible) Use in the Energy Industry“. The abstract to this can be found after the links to the organizer and the conference schedule.

    Organizer: DTC Daemisch Transformer Consult

    Schedule: Draft of the conference schedule (only available in German)

    Speaker: Dr. Thomas Fritsch, CEO of Tokeya Deep Data Dive GmbH & Co. KG

    Co-Speaker: Dr. Frank Wirner, CTO of Tokeya Deep Data Dive GmbH & Co. KG

    Abstract:

    The near-perfect concurrence of 4 fundamental technological trends – very fast (also parallel computers; very high communication and storage density (smartphones, tablets etc., cloud storage & computing); very large amounts of data (Big Data - e. g. from sensors) and very effective new algorithms (Deep Neural Networks) – has since 2012 experienced a breathtaking upturn in artificial intelligence (AI). Since then, the AI has penetrated important areas of society all over the world at an ever faster pace.

    The talk will highlight the current state of development of the AI and explain why reporting on it is not a hype (this time). The working method of the main carriers of the AI, the (deep) neural networks (NN), is explained by means of practical examples from the energy technology and economy. It is made clear that this technology is a very efficient, because adaptive technical implementation of well-founded (complex) statistical learning procedures, which cannot be equated in any way with the known “expert systems” (and their weaknesses).

    The topic of predictive maintenance of important equipment of the network infrastructure (e.g. of power transformers in the power grids), which is of interest to practitioners and participants of the transformer symposium, will be treated by means of an online software tool for the intelligent condition assessment of anonymized transformer data of an industrial partner as an example for the possible efficient use of AI methods in transformer diagnostics.

    The talk concludes with an outlook on the presently foreseeable future development of the AI without succumbing to the usual and common threat scenarios or euphemisms of the potential actual dangers of the AI.

    Slides of the talk: PDF Download (only available in German; new page 11)

    In the talk addressed video:   Google’s self-driving car

  18. Visit of the GPU Technology Conference in Munich
  19. Visit of the AMA innovation forum “hardware meets software” in Dortmund