Top Tweets for #utensor
It's a great sprint!
#utensor is very interesting. One of the cool points is how it utilizes Python and C++ simultaneously _without_ having a wrapper.
Many thanks to the #utensor devs, Neil, Kazami, and @DboyLiao, for all the guidance and explanation in the #scisprint this afternoon. It’s wonderful time full of code and discussions.
And thank everyone who joined us. Look forward to seeing you again!

Many thanks to the #utensor devs, Neil, Kazami, and @DboyLiao, for all the guidance and explanation in the #scisprint this afternoon. It’s wonderful time full of code and discussions.
And thank everyone who joined us. Look forward to seeing you again!


@neil_the_1 Nice! Been following #utensor for a bit. Really excited to play with it on cross devices!
Unlock new possibilities of predictive maintenance at the edge with #uTensor just like @EdgeImpulse https://t.co/ajGYlWfoYC
#uTensor now has a website! Check it out at https://t.co/8WT6D0D0o4
#uTensor now has a website! Check it out at https://t.co/8WT6D0D0o4
https://t.co/P2sRYnMnjD
My new medium post: How I make the loading time of #uTensor cli drop from 3 secs to 0.5 sec!
And #uTensor team will have a talk about the design of runtime and how to write your own code generator at #sciwork20.
First time trialing #embedded #MachineLearning with @ArmMbed #uTensor and @Etteplan #Banda #NBIoT development board. Execute your compiled ML model directly in Cortex-M hardware; ultra-edge #AI for constrained connectivity. What’s your next #embeddedML project?

We are excited to announce Arm #uTensor is joining forces with TensorFlow Tunis as part of the new TensorFlow Lite Micro project to accelerate #machinelearning learning on embedded devices. Find out more > https://t.co/hZW4E8ekTM
So excited to be a part of the #uTensor community, and now a part of Tensorflow Lite! https://t.co/pjwHp0PBnR
Straight from Google I/O, I'm happy to announce that @Arm and Google @TensorFlow are joining forces to accelerate TinyML. We will be merging uTensor, the first open source embedded inference project, with TensorFlow Lite Micro. https://t.co/YI36pdqQc1 #tensorflow #tinyml #mbed

On-device AI on embedded devices is getting hyper-acceleration with the merge of #uTensor with #Tensorflow Lite for Microcontrollers.
Bringing #MachineLearning on the sensors level, where the data collection takes place is fueling innovation #konstruktr
https://t.co/TrkjeWfRb2
Straight from Google I/O, I'm happy to announce that @Arm and Google @TensorFlow are joining forces to accelerate TinyML. We will be merging uTensor, the first open source embedded inference project, with TensorFlow Lite Micro. https://t.co/YI36pdqQc1 #tensorflow #tinyml #mbed

I had a wonderful time at #IoTFuse yesterday giving a workshop on #MachineLearning and how to use #uTensor to run inference on small Cortex-M devices at the edge using #MbedOS and #Pelion to enable remote updates of the models. https://t.co/LRW6DzQlmu
Umgesetzt werden kann es beispielsweise mit dem Projekt #uTensor.
Ein ML Interface welches auf Microcontrollern läuft.
Es setzt #Tensorflow auf MBed um.

uTensor is an extremely light-weight machine learning inference framework built on Mbed and #Tensorflow - Did you catch this Dio? @DioFavatas @MikeTamir https://t.co/Bli9KDs3X6 #AI #MachineLearning #DeepLearning #DataScience #ML #uTensor
uTensor is an extremely light-weight machine learning inference framework built on Mbed and Tensorflow https://t.co/050PXOUScU #AI #MachineLearning #DeepLearning #DataScience

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