The MIT Siegel Family Quest for Intelligence (SQI) is a community of scientists, engineers, faculty, students, staff, and supporters that aim to understand intelligence – how brains produce it and how it can be replicated in artificial systems.  Together, we approach intelligence as a single grand challenge requiring the organized, collaborative efforts of science, engineering, the humanities, and beyond.  To achieve this vision, scientific theories of natural intelligence must be developed, computational models must be created, and these models must be compared against the capabilities and neural mechanisms of natural intelligence and tested on real-world problems. 

The Language & Thought Mission at SQI broadly aims to understand the relationship between language and human intelligence. Scientific goals include understanding how humans and machine learning models interpret and generate language and determining the role of language in the acquisition, representation, and use of knowledge across various domains of cognition. Engineering goals include building AI systems that learn language from human-scale datasets and understand language with human-like robustness and flexibility.

PIs Ev Fedorenko, Jacob Andreas and Roger Levy will present an update on the latest research being done in the Language & Thought Mission on Tuesday, April 28th at 4:00 PM in 45-792.