… Consequently, a comparative study of different operating systems … This paper's center of
attention is the visual operating system … SoC is uniquely designed for embedded deep learning …

… The second generation of the Robot Operating System, ROS 2, was redesigned from the …
These characteristics shorten the learning curve for new engineers to apply what they know …

… operating system such as LINUX, UNIX [26]. These devices support growing technologies like
artificial intelligence, machine learning, deep learning, … , the operating system on which the …

Federated Learning (FL) is an emerging direction in distributed machine learning (ML) that
enables in-situ model training and testing on edge data. Despite having the same end goals …

… We are unable to assume the operating system can dynamically allocate memory. So the
framework allocates and manages memory from a provided memory arena. During model …

… these programs with evolutionary search and a learned cost model. To optimize the performance
of … We evaluate Ansor on both standard deep learning benchmarks and emerging new …

… In this research, we presented a machine learning based IDS method and to show general …
a Kali Linux operating system and three computers with a Windows 8 operating system. In the …

… Furthermore, the academic space has focused intensively on machine learning model
building and benchmarking, but too little on operating complex machine learning systems in real…

… system (IDS) in our architecture using six machine learning (… , we use the open network
operating system (ONOS) controller … system mitigates all attacks previously detected by the IDS …

… learning are relatively new concepts in energy that can be promising tools to operate
systems by implementing past and predicted futures to increase the effectiveness of systems. …