Artificial Intelligence

In more than 30 years of our activity, we have accumulated substantial experience in the area of neural networks and AI. This allowed us to develop a multitude of product capabilities based on deep learning as well as custom applications.

Natural Language Processing focuses on enabling computers to understand, interpret, and generate human language by combining linguistics, computer science, and machine learning techniques. NLP powers various applications like chatbots, language translation, sentiment analysis, and information retrieval, revolutionizing the way we interact with technology and making it more intuitive and human-like.

Our NLP products and solutions are aimed at automating repetitive tasks, providing deeper insights from vast amounts of data, and creating virtual assistants that can simplify customer support tasks and improve overall customer satisfaction. These products are customizable and can be tailored for both the public and the private sectors. We employ sophisticated algorithms that are designed to provide precision and accuracy.

Computer vision tasks include methods for interpreting and comprehending visual data, allowing them to identify objects, detect patterns, and extract valuable information from images and videos. Its applications are vast and include image classification, object detection, facial recognition, and surveillance, spanning domains like healthcare, manufacturing, and security.

Brain-computer interface (BCI) is a communication link between a human's brain and an external device. The main objective of BCI is to measure a person's brain activity and infer their response to environment, mental state or intention. The main components of BCI technology are reading brain activity and translating that activity to commands or other information understandable by computers/devices. The applications of BCI technology range from mind-controlled computer games to neuromarketing and lie detection.

The study of the design, manufacture, operation, and use of mobile robots. Mobile robots are increasingly finding their ways to logistics operations in warehouse and manufacturing environments, reducing labor costs and offering larger flexibility.

We started research activities focused on Natural Language Processing back in 2018. The research began with a focus on single product development. Since then it has expanded into a multitude of directions. The efforts have focused on tackling tasks like sentiment analysis, summarization, text generation, and the potential of large language models (LLMs). When we obtain a significant result, we publish a research paper on the topic.

A large language model (LLM) is a sophisticated artificial intelligence system capable of understanding and generating human-like text. LLMs are trained on vast amounts of diverse linguistic data to perform a wide range of natural language processing tasks. These complex algorithms can understand and generate text in a way that feels almost like natural language.

Open Source Lithuanian LLM

Our first open-source large language model in the Lithuanian language is available to promote AI solutions development in the region.

Press release   Paper ›

Continual learning for
expanding LLM capacity

The new research demonstrates how the application of continual learning advances LLMs' linguistic capabilities.

Press release   Paper ›

Extensive expertise gathered throughout the years allows Neurotechnology to be working on national-scale NLP projects.