Great to have you on board with us, Soumya. We’re super-happy to have you join our natural language processing (NLP) team. Your extensive prior experience in the analysis and the tuning of large-scale statistical language models you will be able to put to action directly in a number of our on-going client projects. A very warm welcome to you and all the best for your start with us! 🙂

We are very happy to announce that Mahsa will be starting her Master thesis project on artificial intelligence with LangTec on 01 February 2021. In her research Mahsa will investigate deep-learning approaches to processing filled forms and shall refine existing results from previous research done at LangTec.

Large banks like our new client have long, extensive contract documents in many languages … but, regrettably, no time to search them manually for key information. To this end, LangTec develops automated solutions for information extraction that show which information can be found where in the hundred-plus-page contract documents. Exactly this is also what we will be doing for our new client. We are grateful for the trust placed in us and look forward to the new consulting mandate!

And another text classification engagement! We are thrilled to support our client’s top-notch data science team in the electronics sector with our dedicated expertise in automatic text classification of multilingual customer reviews. In the context of this short engagement, LangTec’s top consultants will be tuning the client’s existing text classification solution to drive results to absolute high-end performance.

We are delighted to welcome Marc Ditschke to our team. Marc will support us as an intern on software systems development in the forthcoming six months. In his internship at LangTec he will be working on the functional extension of our team management software TeamTracker.

We are very pleased to have started the development of an innovative browser plug-in for a large online mail order company in the hardware and software sector. The plug-in will automatically answer requests for the approval or rejection of cookies or the collection of website usage data. Approval or rejection can be set either globally or for each domain individually. To implement this, the plug-in uses the same JavaScript APIs that Consent Management Platforms (CMP) use to manage cookie requests.

The very interesting graduation project of two Master’s students in communication design and architecture about remembrance culture using the example of Warehouse G that we supported with our NLG solution TextWriter, has now been successfully completed. The eponymous Warehouse G  (“Lagerhaus G” in German) is a former warehouse in the port of Hamburg located at Dessauer Ufer (nowadays Dessauer Straße), in the Kleiner Grasbrook quarter. During the second World War, the building was used as a subcamp of the Neuengamme concentration camp. Up to 3,000 persons were detained there.

On the website www.erinnerungsgenerator.de visitors can get information about the history of the building. TextWriter generates different variants of the remembrance text, depending on parameter selection. Parameters vary in tonality, form, and content. The Erinnerungsgenerator allows to experience the past from different perspectives and encourages to reflect on one’s own behaviour towards remembrance. It poses the question: how will we remember in the future?

The Erinnerungsgenerator is presented at the second meeting of the Hamburg quarter Veddel, taking place on September 5, 2020. The goal of this meeting is networking among neighbours and discussing current topics. Some of the organisers are members of the Initiative Dessauer Ufer. The initiative is promoting a memorial at Warehouse G and using the building for the quarter. The inhabitants of Veddel can use the Erinnerungsgenerator – during the meeting and afterwards – to approach the place in their own way and develop their own ideas for using it.

With the availability of fully scalable compute power on demand these days, extending one’s on-site hardware requires careful deliberation. In view of the substantial amounts of money we have been transferring to our preferred provider of virtual infrastructure, we thought time had come to extend our own server’s compute capabilities further. At the time of writing, our new compute GPU is being installed alongside the much needed upgrade on the power supply. We look forward to noticeable speedups in training our deep-learning machine learning models. The time saved, we’ll probably spend drinkin’ more of the good coffee in the office 🙂

We’re delighted to report that Anand will be joining our team as a working student and Master-level researcher in the area of machine learning. In the context of his Master thesis project Anand will be exploring discriminative and generative deep-learning approaches for the intelligent processing of filled forms.

Super-happy to have Marco join our team of seasoned software developers. Marco brings more than twenty years of experience in full-stack development to the table and will be managing the technical realisation of our ADAPI-project in which we are developing, together with our partners from the Fraunhofer Institutes IBMT and IDMT as well as the Augenklinik Sulzbach, an AI solution for the fully automated analysis and documentation of doctor-patient dialogues.