@plumerai

Making AI tiny and accurate. Finally.

 London, England
plumerai.com
Joined September 2018
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Welcome to the Partech family, @plumerai! We’re thrilled to co-lead Plumerai’s $8.7M Series A alongside @otb_ventures, with support from Acclimate Ventures and existing investors. Founded in 2017 by @roelandnus and Taras Iakymchuk, Plumerai is a... (1/7)
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Tiny person detection! @plumerai running on #ESP32 at #EVS23 ➡️ plumerai.com ➡️ hackster.io/news/plumerai-br…
A tiny screen mounted on an ESP32 camera module, attached to a green power bank on a table. The screen shows Alex's hand with a green box around it.

ALT A tiny screen mounted on an ESP32 camera module, attached to a green power bank on a table. The screen shows Alex's hand with a green box around it.

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.@plumerai brings its tinyML People Detection Model to low-cost ESP32-S3: bit.ly/3lyaHh2
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Called by @RenesasGlobal booth to see first demo of AI running on Arm Cortex-M85 (on as-yet unannounced product). Running @plumerai people detection/ tracking model in 77ms/5.9fps. #embeddedworld2023 #cortexm85 #ai
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I’ll take part in a panel discussion hosted by @Arm on Tuesday 31st at 8am PST. I'll talk about how @plumerai enables on-device people detection on doorbells, security cameras, video conferencing cameras and many other Arm-based devices. armltd.zoom.us/webinar/regis… @TobiasMcBride
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Plumerai has built an AI inference engine for Cortex-M microcontrollers that outperforms TF Lite/CMSIS-NN. @plumerai CEO Roeland Nusselder told me its inference engine can cut RAM usage in half and reduce latency 40%. #ai #tinyml eetimes.eu/dutch-startup-out…

Startup Outperforms AI Inference Engines for Cortex-M - EE Times

Plumerai has built a fast, memory-efficient inference engine for Arm Cortex-M microcontrollers which uses 49% less RAM.

eetimes.com
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World’s fastest deep learning inference software for Arm Cortex-M #Technology #ArtificialIntelligence #MPUs/MCUs #Software tinyurl.com/ygvm8w9s
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Interesting mix of topics here, including unit tests for deep learning:
Pete Warden@petewarden21 Jan 2021
A fascinating talk on binarized neural networks for #tinyml by Lukas of @plumerai is now up at youtube.com/watch?v=f9SNqDej…, with slides at tinyml.org/wp-content/upload…
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A fascinating talk on binarized neural networks for #tinyml by Lukas of @plumerai is now up at youtube.com/watch?v=f9SNqDej…, with slides at tinyml.org/wp-content/upload…
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One of my favorite things about working at @PlumeraiHQ is our internal tooling. I just built a new one: in a single CLI command, generate sample original and training/validation-preprocessed images for any of our datasets and preprocessing functions.
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XMOS and Plumerai link for binarised neural network development electronicsweekly.com/news/b…
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Larq is a tf.keras-based library for training *binary* neural networks larq.dev/

Larq | Binarized Neural Network development

Larq is an ecosystem of open-source Python packages for building, training and deploying Binarized Neural Networks to enable efficient inference on mobile and edge devices.

larq.dev
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Plumerai wants a Open-Source Software Engineer - jobs.github.com/positions/67… – at London, England
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