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We build next-generation artificial intelligence systems derived from the biological brain.
We are developing algorithms, software and hardware that enable new forms of low-power, real-time machine computation, learning, and intelligence.
The approach is unique. The capabilities we are developing are based on models, insights and algorithms derived from discoveries of the fundamental computational dynamics and physics that underlie neural computation in the biological brain. From neurobiological experiments to theory and algorithms, we abstract away biological details and capture the core algorithms.
We are working on developing situational and contextual learning systems – as well as analytics and pattern recognition systems – that function in real time, on ultra-low power, with minimal training requirements.
Our approaches go beyond, but are complimentary to, the existing capabilities of current methods in machine learning, artificial neural networks, and other forms of artificial intelligence.