A look at some of the demos Bosch had on display at the annual CES Conference.

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Learn all about how to use implement enterprise-grade safety systems for large-scale factories using computer vision and machine learning with this workshop - now available without registering.

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The AWS IoT ExpressLink is available with new Raspberry Pi kits from Kitronik, and a new imaging sensor from Luxonis.

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Our new Qwiic Alphanumeric Displays get their own kit, a new robotics development board from Holybro, and a different version of the OpenMV Cam!

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Register for our latest AI workshop - Use the NVIDIA Jetson Nano 2GB to analyze data, run systems, and improve processes for a fully automated smart factory.

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We've added more workshops to the Machine Learning @ Home Kit hookup guide!

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A new version of our Tsunami Super WAV Trigger is now available, as well as new machine learning boards from ArduCam!

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Join SparkFun as we explore how to utilize machine learning around your home using the NVIDIA Jetson Nano 2GB.

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We're releasing the living hookup guide for the Machine Learning @ Home Kit! Put what you've learned in the DLI Course to practice and make your home a little smarter with machine learning!

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We teamed up with Edge Impulse and a few of our friends to produce a series of virtual workshops to learn new machine learning skills and theory.

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A look at how many environmental and agricultural problems can be addressed with the same framework of audio analysis and environmental sensing through machine learning!

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A new Cryptographic Dev Kit is available with a new Qwiic SGP40 Air Quality Sensor, and RPi Compute Module 4!

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The new RTK Express released this week, along with new machine learning products and a way to connect an original NES controller to Qwiic!

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The Internet of Things is now ubiquitous, but even twenty two years after its introduction, much of it, even the simplest parts, remain much less customizable than many of us would like. Luckily, most of us (yes, you!) can do something about that.

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Register for our second AI Workshop - Use the MicroMod Machine Learning Carrier Board and the Nordic nRF52840 MicroMod Processor to train and deploy your own machine learning model

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Learn more about the new kit we announced during GTC.

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The Garmin LIDAR-Lite v4 LED is now Qwiic compatible! Don't forget to check out our new Machine Learning @ Home Kit and SMD Flash IC, too.

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Recent Blog Comments

Hi, "For a full wishlist of products for this project, check it out here:" ....but I see no link to anything further. I am hoping you have…

only one way to become an expert ... just do it

Apologies for my confusion. I was deep in the datasheet (page 1137) where this line gave the impression of USB 2.0 capabilities. "RP2350…

Yep you are correct. I mistakenly took the spec from the Pico 2 board itself which states "Raspberry Pi Pico 2 comes with all the features…

More corrections: According to the datasheet RP2350 has no internal flash not 4MB as stated here. The RP2354 has 2MB of internal flash.

The RP2350 is still USB 1.1, not 2.0 as stated in the article. I am sure I wouldn't have spent a few hours reading about ULPI trying to see…

Thanks for the heads up! It looks like we went live with the 1st draft 🤦 I've got it updated now and will double check the specs again.

In addition to the parts you highlighted, the M33 core not the same as the M0+, as it's described as being in the article

Something does not add up here. According to the RP2350 datasheet on RPi site, RP2350 has: > * Dual Cortex-M33 or Hazard3 processors at…

[url]https://miwebenterrassa.com/paso-a-paso-para-iniciar-tu-proyecto-con-el-esp32-thing-plus/[/url]

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