ARIA Opportunity Space: Scalable Neural Interfaces

We're revolutionizing brain-computer interfaces by teaching AI to speak the brain's language across multiple senses (using magnetoencephalography (MEG) and large language models as a unified foundation model). Our breakthrough approach combines brain imaging with everyday sensory data – speech, vision, and thought patterns – to create an AI system that understands neural activity more deeply than ever before (achieving SOTA metrics on neural decoding tasks). Building on Oxford's cutting-edge research in feature universality and multi-modal neural architectures, we're developing a unified framework that bridges the gap between human thought and machine understanding. This technology promises to transform how people with communication difficulties interact with the world, while uncovering fundamental insights about how our brains represent and process information – potentially opening new frontiers in human-computer interaction through direct neural decoding.