Machine Learning
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New Inertial Module with embedded Intelligent Sensor Processing Unit Ideal for Machine-Learning Applications
STMicroelectronics has introduced the new ISM330ISN always-on 6-axis inertial measurement unit (IMU… |
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Automotive 6-axis Inertial Measurement Unit with Embedded Machine Learning Core and Dual Operating Modes
STMicroelectronics has announced the new ASM330LHHX inertial measurement unit (IMU) that moves smart… |
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Tomato Sorting Machine using Edge Impulse TinyML on Raspberry Pi
Manually sorting items is one of the most exhausting and time-consuming tasks. Manual sorting, whether of fruits or veggies or… |
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Introduction to TinyML: What is it and Why does it matter?
TinyML introduces Machine Learning to the scene by incorporating Artificial Intelligence into small hardware components. You’ll… |
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How to use Edge Impulse Signal based Model Training to train a Fever Detection Model
AI has been a buzzword this entire decade. People have been applying the concepts of AI in all possible fields – Agriculture,… |
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Push-Up Counter using Raspberry Pi and MediaPipe
Human pose estimation technology is becoming increasingly popular due to the recent growth and popularity of Virtual and… |
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New Machine Learning Algorithms for Self-driving Cars to Learn to Drive by Watching Other Cars
The researchers claims that one hour of driving data was utilised for machine learning purposes, 92% of the vehicles arrived… |
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Digital coach can teach Table Tennis using Machine Learning and Artificial Intelligence
For improving his Table Tennis game, an engineer, Samuel Alexander develops an AI-powered bat. To… |
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Raspberry Pi Based Emotion Recognition using OpenCV, TensorFlow, and Keras
In this tutorial, we are going to implement an Emotion Recognition System or a Facial Expression Recognition System on a… |
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Object Classification using Edge Impulse TinyML on Raspberry Pi
Edge Impulse Studio is a machine learning platform that enables developers to generate Machine Learning trained models in the… |