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BrainChip Unveils the Akida Development Environment
Brainchip Holdings (ASX:BRN), the leading neuromorphic computing company announced the availability of Akida Development Environment. The company said that Akida, the flagship product is crucial for them to become a leading neuromorphic computing company that solves complex problems. As quoted in the press release: The Akida Development Environment is a machine learning framework for the …
Brainchip Holdings (ASX:BRN), the leading neuromorphic computing company announced the availability of Akida Development Environment.
The company said that Akida, the flagship product is crucial for them to become a leading neuromorphic computing company that solves complex problems.
As quoted in the press release:
The Akida Development Environment is a machine learning framework for the creation, training, and testing of spiking neural networks (SNNs), supporting the development of systems for edge and enterprise products on the Company’s Akida Neuromorphic System-on-Chip (NSoC).
Applications that benefit from the Akida solution include public safety, transportation, agricultural productivity, financial security, cybersecurity and healthcare. These large growth markets represent a $4.5B opportunity by 2025.
The Akida Development Environment includes the Akida Execution Engine, data-to-spike converters, and a model zoo of pre-created spiking neural network (SNN) models. The framework leverages the Python scripting language and its associated tools and libraries, including Jupyter notebooks, NumPy and Matplotlib.
“This development environment is the first phase in the commercialization of neuromorphic computing based on BrainChip’s ground-breaking Akida neuron design,” said Bob Beachler, SVP of Marketing and Business Development. “It provides everything a user needs to develop, train, and run inference for spiking neural networks. Akida is targeted at high growth markets that provide a multi-billion dollar opportunity and we are already engaged with leading companies in major market segments.”
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