Research into Internet of things (IoT) began January 21st, 2021, as part of the subaward of Kansas NASA Space Grant 1, regarding machine learning on the edge. The research is multifaceted and pertains microcontrollers capable of running neural networks, and deep learning through the assistance of real-time operating systems (RTOS). The study included a multistep process which involved an understanding of a microcontroller which is capable of RTOS and neural network functionality, such as the MSP432 microcontroller. An understanding of the advantages and limitations of microcontroller regarding on the edge applications is also necessary. The premise of edge machine learning pertains to the necessity of being able to train neural networks usi...
Machine learning systems (MLSys) are emerging in the Internet of Things (IoT) to provision edge inte...
Artificial Intelligence was born in 1956 as a discipline of Computer Science, aiming to simulate hum...
The number of connected Internet of Things (IoT) devices are expected to reach over 20 billion by 20...
Research into Internet of things (IoT) began January 21st, 2021, as part of the subaward of Kansas N...
The recent shift in machine learning towards the edge offers a new opportunity to realize intelligen...
Internet of Things (IoT) edge devices have small amounts of memory and limited computational power. ...
Computing has undergone a significant transformation over the past two decades, shifting from a mach...
Machine learning has traditionally been solely performed on servers and high-performance machines. H...
This paper presents edge machine learning (ML) technology and the challenges of its implementation i...
Abstract Fueled by the availability of more data and computing power, recent breakthroughs in cloud...
Modern machine learning (ML) applications are often deployed in the cloud environment to exploit the...
The number of Internet of Things (IoT) edge devices are exponentially on the rise that have both com...
Recent advancement in Deep Learning for Image Classification and Perception tasks have contributed t...
Rapid growth in numbers of connected devices, including sensors, mobile, wearable, and other Interne...
Edge analytics refers to the application of data analytics and Machine Learning (ML) algorithms on I...
Machine learning systems (MLSys) are emerging in the Internet of Things (IoT) to provision edge inte...
Artificial Intelligence was born in 1956 as a discipline of Computer Science, aiming to simulate hum...
The number of connected Internet of Things (IoT) devices are expected to reach over 20 billion by 20...
Research into Internet of things (IoT) began January 21st, 2021, as part of the subaward of Kansas N...
The recent shift in machine learning towards the edge offers a new opportunity to realize intelligen...
Internet of Things (IoT) edge devices have small amounts of memory and limited computational power. ...
Computing has undergone a significant transformation over the past two decades, shifting from a mach...
Machine learning has traditionally been solely performed on servers and high-performance machines. H...
This paper presents edge machine learning (ML) technology and the challenges of its implementation i...
Abstract Fueled by the availability of more data and computing power, recent breakthroughs in cloud...
Modern machine learning (ML) applications are often deployed in the cloud environment to exploit the...
The number of Internet of Things (IoT) edge devices are exponentially on the rise that have both com...
Recent advancement in Deep Learning for Image Classification and Perception tasks have contributed t...
Rapid growth in numbers of connected devices, including sensors, mobile, wearable, and other Interne...
Edge analytics refers to the application of data analytics and Machine Learning (ML) algorithms on I...
Machine learning systems (MLSys) are emerging in the Internet of Things (IoT) to provision edge inte...
Artificial Intelligence was born in 1956 as a discipline of Computer Science, aiming to simulate hum...
The number of connected Internet of Things (IoT) devices are expected to reach over 20 billion by 20...