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Open Hardware: Arduino and 64-bit RISC-V

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Hardware
  • Arduino Blog » RobotSculptor uses a six-axis robot arm to sculpt clay models

    Robotic fabrication techniques such as 3D printing enable you to make a copy of a wide variety of items. Actually sculpting something out of clay, however, remains a largely human pursuit. One might also miss the individual style of a sculptor in a finished product.

    RobotSculptor, developed by a team of engineers from ETH Zurich and Disney Research, attempts to address both challenges. The system generates toolpaths from a base mesh design and allows artistic input via mouse strokes during the process. A six-axis robot arm then incrementally removes clay from the model-in-progress, using a custom loop tool.

  • 64-bit RISC-V core claims 10x better CoreMarks/Watt compared to other 3-5GHz CPUs

    Micro Magic unveiled an up to 64-bit RISC-V core showing a groundbreaking 110,000 CoreMarks/Watt, with a 3GHz chip consuming less than 70mW. The company claims 10 times better CoreMarks/Watt compared to other processors in the 3-5GHz range.

    Considering the spectacular promise and sudden demise of AI tech firm Magic AI, we should perhaps be wary of hyped up companies with Magic in their name. Yet, the astonishing claims about an incredibly efficient RISC-V core coming out of Sunnyvale, Calif. based EDA firm Micro Magic in recent weeks appear to be for real.

  • Arduino Blog » A (very) short guide to help you transition to the Arduino Science Journal

    Arduino acquired the Science Journal app from Google on August 5th, and the final handover takes place on December 11th, 2020.

    From that date, the Science Journal will no longer be supported by Google. If you haven’t exported your experiments and imported them into the Arduino Science Journal, we strongly encourage you to do so now, as your data will no longer sync with Google Science Journal after that date.

    [...]

    While we can’t disclose too much about our future plans for the app, we can tell you that we’ll ensure it will offer easy access to a stream of data that leverages your smartphone sensors, as well as Arduino sensors. The aim is to help learners understand the importance of an inquiry-based educational method rather than passive consumption of information.

    We’ll also continuously improve the accessibility of the app for all users, and find new ways of experimenting with science.

    In the near future, we’ll be interacting more with users, so you’ll hear more from us soon! We’ll also be adding more tutorials on our platform dedicated to Science Journal!

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