Meta AI, the research arm of Facebook’s parent company, studies how the human brain processes language. Researchers are looking at how the brain and AI language models respond to the same spoken or written sentences. The work is part of Meta AI’s broader focus on human-level AI that learns with little to no human supervision. Meta AI is working with NeuroSpin (CEA), a Paris-based research center for innovation in brain imaging, and the French National Institute for Research in Digital Science (INRIA). Meta AI and NeuroSpin are studying how language models are trained to predict the next word in a sentence. Such prediction based on partially observable inputs is at the core of AI self-supervised learning. Researchers are creating an original neuroimaging dataset to further hone their study. King said that neuroscientists could help improve AI models by studying long-range forecasting capability more in-depth. He said that enhancing algorithms with such capability can help them become more correlated with the brain. He added that progress requires bringing together the disciplines of neuroscience and AI.

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. The human brain has long been, and continues to be, a conundrum -- how it developed, how it continues to evolve, its tapped and untapped capabilities. The same goes for artificial intelligence (AI) and machine learning (ML) models. And just as the human brain created AI and ML models that grow increasingly sophisticated by the day, these systems are now being applied to study the human brain itself. Specifically, such studies are seeking to enhance the capabilities of AI systems and more closely model them after brain functions so that they can operate in increasingly autonomous ways.