Our latest report on Machine Learning R&D

• Knowledge we acquire

  Exploration of technology drives us to innovation.

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  • Natural Language Processing

    NLP is one of the areas of artificial intelligence. We dive into three major tasks of this field of knowledge: question answering, speech recognition and text-to-speech.

  • Pattern and Image Recognition

    We develop methods of classification and identification of objects in images that are characterized by a set of certain properties and attributes.

  • Optical Character Recognition

    We build software that scans documents and images containing texts and converts them into documents that can be edited. With OCR we can transform images and photographs into searchable formats.

  • Text-based Sentiment Analysis

    We analyse and classify the polarity of a given text as positive, negative, or neutral with an aim to determine the writer’s tone. Sentiment analysis means better targeted marketing, faster detection of opportunities and threats, and protection of brand-reputation.

  • Recommender Systems

    We use semantic modelling, information retrieval and machine learning techniques for creating personalized recommendations within social, news, shopping, music, and other types of apps.

  • Motion Recognition

    We develop algorithms that understand human movement based on neural networks. Motion recognition is a basis for automatic exercise recognition, rep counting, and motion tracking.