AI
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How New Technology Advancements have enhanced the Modern Prosthetic Devices
The largest advancements in technology relating to prosthetic devices are sensory feedback, A.I. enhanced training algorithms,… |
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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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New R-Car Software Development Kit Enables Validation for Smart Camera and Automated Driving Applications
Renesas Electronics Corporation has unveiled the R-Car Software Development Kit (SDK) which is a complete software… |
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PICO-TGU4 Board provides Flexibility to Power Next-Generation Industrial AI Applications
Powering Edge AI Evolution with 11th Generation Intel Core Processors, the new PICO-TGU4 board from AAEON delivers performance… |
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Advanced XGO-Mini Quadruped Robot with AI Modules Interacts with its Surroundings using Voice and Image Recognition
XGO-Mini from Luwu, a STEM education technology company is a 12 DOF, omnidirectional quadruped robot that can interact with its… |
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Qualcomm’s new drone platform offers both AI and 5G capabilities
Powered by the Qualcomm QRB5165 processor, builds upon Qualcomm Technologies’ latest IoT offerings, delivering a solution which… |
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New Prototype “Robocar” with Second-Generation AI Chip designed for Autonomous Driving
Baidu has launched its second-generation artificial intelligence chip “Kunlun 2” and its first “robocar”, a driverless EV idea… |
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Low Cost 9-channel PMIC for Increased System Reliability in 32-bit and 64-bit MCU and MPU Applications
RAA215300 from Renesas is a new high-performance, low-cost 9-channel PMIC designed for 32-bit and 64-bit MCU and MPU… |
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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… |