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BrainChip Brings AI to the Edge and Beyond - Gestalt IT

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Until now, Artificial Intelligence processing has been a centralized function. It featured massive systems with thousands of processors working in parallel. But researchers have discovered that lower-precision operations work just as well for popular applications like speech and image processing. This opens the door to a new generation of cheap and low-power machine learning chips from companies like BrainChip. Machine learning is incredibly challenging, with massive data sets and power-hungry processors.


BrainChip Launches the Akida Early Access Program

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ALISO VIEJO, Calif., June 15, 2020 -- BrainChip Holdings Ltd announced an Early Access Program (EAP) for the Akida neural processor System-on-Chip (SoC). The EAP has been targeted at specific customers in a diversity of end markets for early adoption of the Akida device. Since announcing the start of wafer fabrication in April 2020, the demand for evaluation systems, including engineering prototypes, has been significant. In response to this demand, BrainChip has established an EAP for select partners to ensure availability of initial devices and evaluation systems for key applications. Multiple customers have committed to the advanced purchase of evaluation systems for a range of strategic Edge applications including ADAS/AV, Unmanned Aerial Vehicles (UAV), Edge vision systems and factory automation.


BrainChip Simplifies Deep Learning with Launch of MetaTF

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April 22, 2021--BrainChip Holdings Ltd. (ASX: BRN), a leading provider of ultra-low power, high-performance AI technology, introduced MetaTF, a versatile ML framework that allows people working in the convolutional neural network space to quickly and easily move to neuromorphic computing without having to learn anything new, today at Linley Spring Conference 2021. The MetaTF development environment is an easy-to-use, complete machine learning framework for the creation, training and testing of neural networks, supporting the development of systems for Edge AI on BrainChip's Akida event domain neural processor. The MetaTF development environment leverages TensorFlow and Keras for industry-standard neural network development and training and includes the Akida Execution Engine (chip simulator), data-to-event converters, and a model zoo of pre-trained models. The framework leverages the Python scripting language and its associated tools and libraries, including Jupyter notebooks and NumPy. Deep-learning professionals do not need to learn a new framework to start using MetaTF immediately.


BrainChip Simplifies Deep Learning with Launch of MetaTF

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WIRE)--BrainChip Holdings Ltd. (ASX: BRN), a leading provider of ultra-low power, high-performance AI technology, introduced MetaTF, a versatile ML framework that allows people working in the convolutional neural network space to quickly and easily move to neuromorphic computing without having to learn anything new, today at Linley Spring Conference 2021. The MetaTF development environment is an easy-to-use, complete machine learning framework for the creation, training and testing of neural networks, supporting the development of systems for Edge AI on BrainChip's Akida event domain neural processor. The MetaTF development environment leverages TensorFlow and Keras for industry-standard neural network development and training and includes the Akida Execution Engine (chip simulator), data-to-event converters, and a model zoo of pre-trained models. The framework leverages the Python scripting language and its associated tools and libraries, including Jupyter notebooks and NumPy. Deep-learning professionals do not need to learn a new framework to start using MetaTF immediately.


Episode 2 -- This is our Mission - BrainChip

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This second episode provides a detailed view of the Company's served markets, success of the Early Access Program, and Intellectual Property licensing. The episode will conclude with an update on the current status of device development and commercial efforts. Subsequent podcasts may include BrainChip management and industry experts.