Adafruit BrainCraft for Raspberry receives one of Tom’s Hardware Best of 2020 Awards! @tomshardware @raspberry_pi #ai #machinelearning #ml


Adafruit BrainCraft for Raspberry receives one of Tom’s Hardware Best of 2020 Awards! From CPUs to Monitors, Laptops and Kids Computers, these are the top 15 products of the year –

With a pandemic raging across the globe, 2020 was a tough year not only for humanity but for the tech industry. A toxic combination of production problems, shipping issues and increased demand led to shortages of many key components and devices including most graphics cards and, name-brand webcams and AMD CPUs of all generations. 

Despite these challenges, we saw some amazing new products released this year, from AMD’s groundbreaking Ryzen 5000 series with its Zen 3 architecture to a 360 Hz gaming monitor and 17-inch ultraportable laptop. 2020 even brought us a new flavor of Raspberry Pi. 

To help you remember some positive things about the past year in tech, we’ve sorted through all the products we tested and highlighted the ones that really stood out by offering best-in-class features, value or innovation. These are Tom’s Hardware’s Best of 2020.

Adafruit’s BrainCraft HAT is an impressive accessory for your Raspberry Pi 4. Developed as an easy introduction to machine learning and AI projects, BrainCraft HAT can be used to design and test image or sound recognition apps. It can even power a home-made Google Assistant or Amazon Alexa speaker.

The BrainCraft HAT features grows with the needs and knowledge of the user. If we add an official Raspberry Pi camera, we can use it to identify objects using TensorFlow Lite. Need more processing power? Add Google’s Coral TPU and your Raspberry Pi machine learning project will become a powerhouse!

Read more.

As 2022 starts, let’s take some time to share our goals for CircuitPython in 2022. Just like past years (full summary 2019, 2020, and 2021), we’d like everyone in the CircuitPython community to contribute by posting their thoughts to some public place on the Internet. Here are a few ways to post: a video on YouTub, a post on the CircuitPython forum, a blog post on your site, a series of Tweets, a Gist on GitHub. We want to hear from you. When you post, please add #CircuitPython2022 and email to let us know about your post so we can blog it up here.

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