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AI and machine learning easily accessible on wireless IoT chips for first time

AI and machine learning easily accessible on wireless IoT chips for first time Nordic Semiconductor has entered into a partnership with Edge Impulse, a leading provider of what’s termed ‘tiny machine learning’ or ‘TinyML’ tools intended to run on resource-constrained semiconductor devices. All of Nordic s nRF52 and nRF53 Series BLE chips will now be able to profit from easy-to-use AI and machine learning features as standard. This is claimed to be a first for the Bluetooth semiconductor industry. “What AI and machine learning on resource-constrained chips does – which Nordic will now collectively refer to as TinyML – is take the application potential of wireless IoT technologies such as Bluetooth to a whole new level in terms of environmental awareness and autonomous decision making,” comments Kjetil Holstad, Nordic’s director of product management.

Nordic Development Kit provides easy access to AI and ML

Nordic Development Kit provides easy access to AI and ML Nordic Semiconductor’s partnership with Edge Impulse, a provider of ‘TinyML’ tools designed to run on resource constrained semiconductor devices, has enabled its nRF52 and nRF53 Series Bluetooth Low Energy (LE) chips to benefit from easy-to-use AI and machine learning features as standard. “What AI and ML on resource-constrained chips does – which Nordic will now collectively refer to as TinyML – is take the application potential of wireless IoT technologies such as Bluetooth to a whole new level in terms of environmental awareness and autonomous decision making,” said Kjetil Holstad, Nordic’s Director of Product Management.

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