Artificial intelligence & machine learning research

The Romanian Institute of Science and Technology has a strong focus on basic and applied research in machine learning and artificial intelligence (AI).

Research topics included:

• developing technologies for program synthesis or induction, using deep learning and other machine learning methods, with a focus on the automated development of web pages;
• deep learning for processing medical images;
• object reconstruction with deep learning, with a focus on museum artifacts;
• new learning rules for spiking neural networks; components of such a learning rule have been implemented in Intel’s Loihi neuromorphic chip.

We welcome collaborations with companies where we can apply our know-how in deep learning and other machine learning methods. Contact us to discuss about this.

Our know-how in deep learning can be broadly applied in a large variety of fields. Some examples of topics we approached are:

• automated generation of web pages;
• detecting tumors in brain scans;
• detecting anomalies in heart sounds;
• segmenting ultrasound images for periodontal investigations;
• detecting spinocerebellar ataxia type 2 in electrooculogram signals;
• defending against adversarial attacks in image classification, e.g. of traffic signs;
• text analysis, e.g. sentiment detection.

Scientific publications in artificial intelligence & machine learning