Machine Learning
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… |
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Digital Inclinometer with Programmable Machine Learning Core for Industrial Automation and Structural Health Monitoring
STMicroelectronics has introduced a high accuracy low power 2 axis digital inclinometer for applications such as industrial… |
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STM32 Condition-Monitoring Software Function Pack for Simplified Machine Learning
STMicroelectronics has released a free STM32 software function pack that lets users quickly build, train, and deploy … |
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Moxie – A Social Robot with Artificial Intelligence and Machine Learning that can Understand and Express Emotions
Embodied Inc. in collaboration with Yves Béhar's has come up with a social robot with machine learning technology. Named Moxie… |
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Popular AI startups to watch out for in 2020
Artificial Intelligence is a revolutionary technology that we all have been well acquainted with for quite some time now. In… |