Fundamentals of Human-Inspired AI
Makes core AI technologies more human.
Programme Information
Fundamentals of Human-Inspired AI combines the latest advances in algorithms and computing with insights related to human intelligence or condition (in its many forms) to yield improved machine learning, speech and language processing, computer vision, robotics and other forms of machine intelligence. Its development involves collaboration between AI and a wide variety of human-centric disciplines.
Featured
Natural Language Processing Lab
The Natural Language Processing Laboratory at the Technion’s Computer Science Faculty conducts research in various areas of NLP. Current focus areas include interpretability, robustness, NLP for the humanities, NLP for Semitic languages (especially Hebrew and Arabic), and biological language models
Lab Leader: Roi Reichart
Mateja Jamnik's Group
The research projects focus on several cutting-edge areas in artificial intelligence, including developing explainability methods for deep learning, integrating symbolic approaches with neural machine learning—such as large language models—for enhanced reasoning, and creating human-adaptable knowledge representations.
Group Lead: Mateja Jamnik
