This device predicts when a refrigerator might fail using embedded ML

Reading Time: 2 minutes Arduino Team — July 4th, 2022 The refrigerator is one of the centerpieces in a modern kitchen, and experiencing a loss in cooling can lead to hundreds or even thousands of dollars of spoiled goods. Perhaps even more importantly, a sudden loss of medications or vaccines that heavily rely on refrigeration can heave a big…… Continue reading This device predicts when a refrigerator might fail using embedded ML

These intelligent slippers sense regular activities and falls using machine learning

Reading Time: 2 minutes Arduino Team — June 1st, 2022 When it comes to activity monitors such as smartwatches, rings, and pendants, they are often considered cumbersome or too difficult to keep track of, especially for the elderly with memory or dexterity problems. This is why the team of Jure Špeh, Jan Adamic, Luka Mali, and Blaz Ardaljon Mataln…… Continue reading These intelligent slippers sense regular activities and falls using machine learning

SafeDrill uses tinyML to encourage proper drilling technique

Reading Time: 2 minutes Arduino Team — May 31st, 2022 For those new to DIY projects that involve the use of power tools, knowing when a tool is being used in an unsafe manner is of utmost importance. For many, this can include employing the wrong drill bit for a given material, such as a concrete bit in a…… Continue reading SafeDrill uses tinyML to encourage proper drilling technique

This Arduino device can anticipate power outages with tinyML

Reading Time: 2 minutes Arduino Team — May 24th, 2022 Our reliance on electronic devices and appliances has never been higher, so when the power goes out, it can quickly become an unpleasant and inconvenient situation, especially for those who are unable to prepare in time. To help combat this problem, Roni Bandini has devised a device he calls “EdenOff,” which…… Continue reading This Arduino device can anticipate power outages with tinyML

Introvention is a wearable device that can help diagnose movement disorders early

Reading Time: 2 minutes Arduino Team — May 17th, 2022 Conditions such as Parkinson’s disease and essential tremors often present themselves as uncontrollable movements or spasms, especially near the hands. By recognizing when these troubling symptoms appear, earlier treatments can be provided and improve the prognosis for the patient compared to later detection. Nick Bild had the idea to create…… Continue reading Introvention is a wearable device that can help diagnose movement disorders early

299 experiments from young people run on the ISS in Astro Pi Mission Space Lab 2021/22

Reading Time: 6 minutes We and our partners at ESA Education are excited to announce that 299 teams have achieved flight status in Mission Space Lab of the 2021/22 European Astro Pi Challenge. This means that these young people’s programs are the first ever to run on the two upgraded Astro Pi units on board the International Space Station…… Continue reading 299 experiments from young people run on the ISS in Astro Pi Mission Space Lab 2021/22

Train yourself to avoid using filler words with the tinyML-powered Mind the Uuh device

Reading Time: 2 minutes Arduino Team — April 21st, 2022 Listening to a speaker who interjects words such as “um,” “uuh,” and “so” can be extremely distracting and take away from the message being conveyed, which is why Benedikt Groß, Maik Groß, Thibault Durand set out to build a small device that can help encourage speakers to make their…… Continue reading Train yourself to avoid using filler words with the tinyML-powered Mind the Uuh device

Arduino device uses tinyML to help wearers recover from shoulder injury

Reading Time: 2 minutes Arduino Team — March 15th, 2022 Shoulder injuries can be quite complex and require months of careful physical therapy to overcome, which is what led to Roni Bandini to build a tinyML-powered wearable that monitors a patient’s rotator cuff movements to aid in the recovery process. His system is designed around a Nano 33 BLE Sense and its…… Continue reading Arduino device uses tinyML to help wearers recover from shoulder injury

Arduino device uses tinyML to help wearers recover from shoulder injury

Reading Time: 2 minutes Arduino Team — March 15th, 2022 Shoulder injuries can be quite complex and require months of careful physical therapy to overcome, which is what led to Roni Bandini to build a tinyML-powered wearable that monitors a patient’s rotator cuff movements to aid in the recovery process. His system is designed around a Nano 33 BLE Sense and its…… Continue reading Arduino device uses tinyML to help wearers recover from shoulder injury

Bias in the machine: How can we address gender bias in AI?

Reading Time: 8 minutes At the Raspberry Pi Foundation, we’ve been thinking about questions relating to artificial intelligence (AI) education and data science education for several months now, inviting experts to share their perspectives in a series of very well-attended seminars. At the same time, we’ve been running a programme of research trials to find out what interventions in…… Continue reading Bias in the machine: How can we address gender bias in AI?

From embedded sensors to advanced intelligence: Driving Industry 4.0 innovation with TinyML

Reading Time: 5 minutes Wevolver’s previous article about the Arduino Pro ecosystem outlined how embedded sensors play a key role in transforming machines and automation devices to Cyber Physical Production Systems (CPPS). Using CPPS systems, manufacturers and automation solution providers capture data from the shop floor and use it for optimizations in areas like production schedules, process control, and…… Continue reading From embedded sensors to advanced intelligence: Driving Industry 4.0 innovation with TinyML

This contactless system combines embedded ML and sensors to improve elevator safety

Reading Time: 2 minutes Arduino Team — January 29th, 2022 As an entry into the 5th IEEE National Level Project Competition, Anway Pimpalkar and his team wanted to design a system that could help improve safety and usability within elevators by detecting if a human is present, the floor they wish to travel towards, and automatically go to the ground floor in the event…… Continue reading This contactless system combines embedded ML and sensors to improve elevator safety

Instead of sensing the presence of metal, this tinyML device detects rock (music)

Reading Time: 2 minutes Arduino Team — January 29th, 2022 After learning about the basics of embedded ML, industrial designer and educator Phil Caridi had the idea to build a metal detector, but rather than using a coil of wire to sense eddy currents, his device would use a microphone to determine if metal music is playing nearby.  Caridi started…… Continue reading Instead of sensing the presence of metal, this tinyML device detects rock (music)

The AI4K12 project: Big ideas for AI education

Reading Time: 7 minutes What is AI thinking? What concepts should we introduce to young people related to AI, including machine learning (ML), and data science? Should we teach with a glass-box or an opaque-box approach? These are the questions we’ve been grappling with since we started our online research seminar series on AI education at the Raspberry Pi…… Continue reading The AI4K12 project: Big ideas for AI education

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