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Connect to far more devices with our big variety of minimal power interaction ports, like USB. Use SDIO/eMMC for additional storage that can help satisfy your software memory prerequisites.

Ambiq®, a number one developer of ultra-low-power semiconductor solutions that produce a multifold rise in Vitality efficiency, is delighted to announce it's been named a recipient of your Singapore SME five hundred Award 2023.

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Deploying AI features on endpoint gadgets is focused on conserving each and every very last micro-joule whilst still Conference your latency specifications. That is a complex approach which requires tuning quite a few knobs, but neuralSPOT is listed here that will help.

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The library is can be employed in two methods: the developer can pick one of the predefined optimized power options (described here), or can specify their own individual like so:

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Quite simply, intelligence should be offered across the network each of the solution to the endpoint in the source of the data. By escalating the on-unit compute capabilities, we can better unlock serious-time details analytics in IoT endpoints.

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Whether you are developing a model from scratch, porting a model to Ambiq's platform, or optimizing your crown jewels, Ambiq has tools to relieve your journey.

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Accelerating the Development of Optimized AI Features with Ambiq’s neuralSPOT
Ambiq’s neuralSPOT® is an open-source AI developer-focused SDK designed for our latest Apollo4 Plus system-on-chip (SoC) family. neuralSPOT provides an on-ramp to the rapid development of AI features for our customers’ AI applications and products. Included with neuralSPOT are Ambiq-optimized libraries, tools, and examples to help jumpstart AI-focused applications.



UNDERSTANDING NEURALSPOT VIA THE BASIC TENSORFLOW EXAMPLE
Often, the best way to ramp up on a new software library is through a comprehensive example – this is why neuralSPOt includes basic_tf_stub, an illustrative example that leverages many of neuralSPOT’s features.

In this article, we walk through the example block-by-block, using it as a guide to building AI features using neuralSPOT.




Ambiq's Vice President of Artificial Intelligence, Carlos Morales, went on CNBC Street Signs Asia to discuss the power consumption of AI and trends in endpoint devices.

Since 2010, Ambiq has been a leader in ultra-low power semiconductors that enable endpoint devices with more data-driven and AI-capable features while dropping the energy requirements up to 10X lower. They do this with the patented Subthreshold Power Optimized Technology (SPOT ®) platform.

Computer inferencing is complex, and for endpoint AI to become practical, these devices have to drop from megawatts of power to microwatts. This is where Ambiq has the power to change industries such as healthcare, agriculture, and Industrial IoT.





Ambiq Designs Low-Power for Next Gen Endpoint Devices
Ambiq’s VP of Architecture and Product Planning, Dan Cermak, joins the ipXchange team at CES to discuss how manufacturers can improve their products with ultra-low power. As technology becomes more sophisticated, energy consumption continues to grow. Here Dan outlines how Ambiq stays ahead of the curve by planning for energy requirements 5 years in advance.



Ambiq’s VP of Architecture and Product Planning at Embedded World 2024

Ambiq specializes in ultra-low-power SoC's designed to make intelligent battery-powered endpoint solutions a reality. These days, just about every endpoint device incorporates AI features, including anomaly detection, speech-driven user interfaces, audio event detection and classification, and health monitoring.

Ambiq's ultra low power, high-performance platforms are ideal for implementing this class of AI features, and we at Ambiq are dedicated to making implementation as easy as possible by offering open-source developer-centric toolkits, software libraries, and reference models to accelerate AI feature development.



NEURALSPOT - BECAUSE AI IS HARD ENOUGH
neuralSPOT is an AI developer-focused SDK in the true sense of the word: it includes everything you need to get your AI model onto Ambiq’s platform. You’ll find libraries for talking to sensors, managing SoC peripherals, and controlling power and memory configurations, along Ambiq ipo with tools for easily debugging your model from your laptop or PC, and examples that tie it all together.

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