Computer vision with Deep Neural Networks have achieved superior performance in areas such as segmentation, image classification, object detection, pose estimation and activity recognition. With this rise in computer vision and the wider scope of deep learning, there has been increased attention in the application of these technologies within the healthcare segment.
Data Processing and Analysis
Healthcare providers capture huge amounts of data that contain extremely valuable signals and information. Deep Neural Networks seem to be an appropriate processor to model this complex and high dimensional data.
Healthcare services supported by deep learning capabilities cover a broad range of applications, including the following:
Industries across the globe are creating dynamic digital transformation strategies to capitalize on the fourth industrial revolution. These strategies depend on Artificial Intelligence (AI) in embedded and edge computing environments (Edge AI) to harvest, interpret and act upon critical operational information, such as machine data. Machine data is rich in operational formation, but notoriously challenging to analyze because of its volume, sparsity and multidimensionality. These challenges are exacerbated by the real-time nature of many of the high value digital services that industrial companies require. ONE Tech’s MicroAI™ platform addresses these challenges with highly efficient Edge AI capabilities.
Industries across the globe are creating dynamic digital transformation strategies to capitalize on the fourth industrial revolution. These strategies depend on Artificial Intelligence (AI) in embedded and edge computing environments (Edge AI) to harvest, interpret and act upon critical operational information, such as machine data. Machine data is rich in operational formation, but notoriously challenging to analyze because of its volume, sparsity and multidimensionality. These challenges are exacerbated by the real-time nature of many of the high value digital services that industrial companies require. ONE Tech’s MicroAI™ platform addresses these challenges with highly efficient Edge AI capabilities.
Industries across the globe are creating dynamic digital transformation strategies to capitalize on the fourth industrial revolution. These strategies depend on Artificial Intelligence (AI) in embedded and edge computing environments (Edge AI) to harvest, interpret and act upon critical operational information, such as machine data. Machine data is rich in operational formation, but notoriously challenging to analyze because of its volume, sparsity and multidimensionality. These challenges are exacerbated by the real-time nature of many of the high value digital services that industrial companies require. ONE Tech’s MicroAI™ platform addresses these challenges with highly efficient Edge AI capabilities.
Industries across the globe are creating dynamic digital transformation strategies to capitalize on the fourth industrial revolution. These strategies depend on Artificial Intelligence (AI) in embedded and edge computing environments (Edge AI) to harvest, interpret and act upon critical operational information, such as machine data. Machine data is rich in operational formation, but notoriously challenging to analyze because of its volume, sparsity and multidimensionality. These challenges are exacerbated by the real-time nature of many of the high value digital services that industrial companies require. ONE Tech’s MicroAI™ platform addresses these challenges with highly efficient Edge AI capabilities.
Industries across the globe are creating dynamic digital transformation strategies to capitalize on the fourth industrial revolution. These strategies depend on Artificial Intelligence (AI) in embedded and edge computing environments (Edge AI) to harvest, interpret and act upon critical operational information, such as machine data. Machine data is rich in operational formation, but notoriously challenging to analyze because of its volume, sparsity and multidimensionality. These challenges are exacerbated by the real-time nature of many of the high value digital services that industrial companies require. ONE Tech’s MicroAI™ platform addresses these challenges with highly efficient Edge AI capabilities.
Industries across the globe are creating dynamic digital transformation strategies to capitalize on the fourth industrial revolution. These strategies depend on Artificial Intelligence (AI) in embedded and edge computing environments (Edge AI) to harvest, interpret and act upon critical operational information, such as machine data. Machine data is rich in operational formation, but notoriously challenging to analyze because of its volume, sparsity and multidimensionality. These challenges are exacerbated by the real-time nature of many of the high value digital services that industrial companies require. ONE Tech’s MicroAI™ platform addresses these challenges with highly efficient Edge AI capabilities.
Industries across the globe are creating dynamic digital transformation strategies to capitalize on the fourth industrial revolution. These strategies depend on Artificial Intelligence (AI) in embedded and edge computing environments (Edge AI) to harvest, interpret and act upon critical operational information, such as machine data. Machine data is rich in operational formation, but notoriously challenging to analyze because of its volume, sparsity and multidimensionality. These challenges are exacerbated by the real-time nature of many of the high value digital services that industrial companies require. ONE Tech’s MicroAI™ platform addresses these challenges with highly efficient Edge AI capabilities.