neucom develops ADA, a general-purpose, fully neuromorphic platform based on brain-inspired, event-based processing chips. This platform enables the low-power conversion and deployment of existing algorithms, offering Turing-complete flexibility for edge applications. ADA specifically enhances energy efficiency and simplifies the implementation of complex post-quantum cryptography algorithms in constrained environments.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional computing architectures struggle with the power and efficiency demands of complex algorithms, particularly in energy and area-constrained edge devices. This limitation hinders the implementation of advanced functionalities like post-quantum cryptography and efficient data processing at the edge.
Solution
Neucom offers the ADA platform, a neuromorphic processing system inspired by biological neural networks, designed for event-based computation. This platform enables the development of low-power algorithms by directly processing event data, bypassing the inefficiencies of traditional CPU-intensive encoding and decoding. ADA provides Turing-complete flexibility, allowing any algorithm to be adapted into a low-power version deployable on the platform. Its user-friendly SDK abstracts away the complexities of spiking neural networks, making advanced neuromorphic computing accessible.
Target Audience
The primary target audience includes developers and engineers working on edge computing, IoT devices, and applications requiring advanced security protocols like post-quantum cryptography, particularly those facing power and area constraints.
Features
- Neuromorphic processing architecture for event-based data streams.
- Turing-complete computational flexibility for algorithm adaptation.
- Interval-based computation for efficient processing.
- User-friendly SDK requiring no prior spiking neural network expertise.
- Optimized for low-power consumption in energy-constrained applications.
- Facilitates direct processing of event data, enhancing input quality for edge devices.
- Enables efficient implementation of post-quantum cryptography algorithms.
- Modular design for adaptable algorithmic implementation.