Unparalleled Efficiency
These chips boast unparalleled energy efficiency, enabling realistic implementation of neural networks and facilitating advanced computational capabilities.
Pulsed Neural Networks (SNN)
Leveraging pulse-based encoding and transmission of information between cores, our design achieves exceptional energy efficiency, a rarity in both space and time.
Enhanced Processing
Concentrating blocks and information processing within neurons and synapses amplifies speed and efficiency remarkably, surpassing traditional architectures.
Self-Learning Capabilities
Our architecture supports self-learning based on local rules of artificial synapse plasticity, fostering adaptability and evolution.
Dynamic Neurons
Enabling dynamic properties in neurons for real-time encoding of dynamic images at an individual neuron level, ensuring high-level processing accuracy.
Compact and Space-Efficient
Our neuroprocessor boasts a compact size while harnessing the power of computation parallelism, optimizing space utilization.
Pushing the Boundaries
of Computing Efficiency and Power
Kosmos Foundation's neuromorphic chips represent a paradigm shift in computing efficiency, designed to revolutionize computational capabilities with a focus on energy efficiency and unparalleled performance.