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Brain-Aligned Language Models for Long-Range Language Understanding and Neuroscientific Insight

CORDIS · observation · Publication date unknown

Brain-Aligned Language Models for Long-Range Language Understanding and Neuroscientific Insight The BrainAlign project aims to revolutionize next-generation artificial intelligence (AI) models by aligning them closely with the way the human brain understands language. While AI systems for language understanding and generation have undergone much progress in recent years thanks to language models, these systems still face significant challenges, such as understanding human intent. Moreover, the successes have mostly stemmed from tremendous increases in model size, and continuing this trend demands unrealistic amounts of data, compute power, and energy. One way forward is to look to the only system we trust to truly understand complex language: the human brain. Insights from brain functions have long inspired AI, but these insights took years to consolidate and even longer to transfer to AI. For brain functions that are uniquely human, such as understanding complex natural language, the lack of suitable animal model organisms limits the mecha

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recordType

award

status

SIGNED

region

EU

value

1494075

unit

EUR