Bart is the Co-Founder, CTO and Chief Scientist of Loop AI Labs, which develops technology that helps machines understand the human world. His current focus is on extracting markers of a person’s interests, personas, and life context from social data and other unstructured data. For the past 12 years Bart has led and contributed to several projects related to personalization and learning, including Ph.D. research on personalized robotics for older adults, a calendaring system that learns its user's preferences, and a collaborative task management tool that learns how individuals interact with people and web services.
Loop AI Labs is working to radically change how machines can autonomously learn and understand the human world.
The company’s machine intelligence platform can autonomously read any unstructured data set and learn from scratch the concepts and relationships within -- much like humans do -- without human supervision or programming. The platform can understand concepts in any domain and any language, without prior knowledge about the syntactic or semantic structure of the language. The company’s AI-as-a-Service platform, which combines unsupervised deep learning and classical symbolic reasoning, will benefit organizations that are struggling to analyze and understand their unstructured private or public data sets. Loop AI Labs intends to help major sectors of the economy -- such as healthcare, finance, government, telecommunications, and retail -- to benefit from the efficiencies of a new era of machine intelligence, and to make people’s lives easier, safer, and more productive.
