Our Platform
Spiking Transformer
Spiking Transformer
Architecture
Aneuro is not an incremental improvement; it is a paradigm shift. By replacing power-hungry matrix multiplications with sparse, binary spike computations, we unlock data-center power on edge devices.
We replaced matrix multiplications with ultra-efficient, sparse computations. By
encoding information as binary spikes, our attention mechanism runs on simple logical
operations.
Unlike other models, Aneuro processes information in both space and time, mimicking the
brain's ability to understand dynamic context.
Our training is inspired by Spike-Timing-Dependent Plasticity, enabling Aneuro to learn
efficiently and form robust representations.
Hardware Ready
Native compatibility with next-gen neuromorphic hardware.