Filter Inductor Inductance Market Dynamics
Filter Inductor Inductance market dynamics
In recent years, with the rapid development of emerging technologies such as mobile Internet and Internet of Things, the amount of data produced by different terminal equipment has become more and larger. According to the forecast, the amount of large data will rise to 44ZB in 2020. It is understood that up to 80% of these data are derived from text, images, video and other unstructured data, but because of technical bottlenecks, the existing IT system can not identify these unstructured data, so the data like " "Becomes worthless. And its cognitive intelligence in artificial intelligence is the inevitable product of the era of large data, not only can identify a large number of unstructured data, but also provide data insight (cognitive computing is a concept proposed by IBM, from a technical point of view, Cognitive computing and artificial intelligence have many common places, such as machine learning, in-depth learning and other aspects are very similar, but artificial intelligence is only a dimension of cognitive computing, artificial intelligence emphasizes the machine more humane, and cognitive computing more Emphasizing reasoning and learning, and how to combine this ability with specific business applications to solve business problems). IBM's Greater China hardware system server solution Shi Dongfeng has said that cognitive computing is a kind of "like people" to think and perceive the world, with understanding, reasoning and learning three prominent features, to understand the various forms of non-structural Data, which generates data insight, help companies quickly from the complex massive data in the insight, and make more accurate business decisions.
In fact, there are already some high-tech enterprises at home and abroad will be these cognitive computing and advanced learning and other advanced technology for medical imaging, and the emergence of the "robot doctor" to IBM's "Watson doctor" the most representative. In the domestic medical information and classification of medical background, artificial intelligence and medical imaging market space is growing.
For doctors, the brain's memory capacity and time are limited, the vast majority of doctors are impossible to read and understand the latest tens of thousands of research papers, it is impossible to remember the human may suffer from thousands of diseases The But for artificial intelligence, "robot doctor" through the depth of learning technology, can be uninterrupted from a large number of medical books, medical journals, clinical diagnostic manuals, medical electronic records, to encyclopedias, dictionaries, books, books and even the script Mentioned electronic medical records for machine learning, almost all the latest medical knowledge can be stored in time. And more importantly, robotic doctors can learn to use, through cognitive analysis techniques, with a variety of channels from the massive data collected, quickly give "advice" to guide doctors to make diagnosis and treatment decisions, and not because of People's emotions lead to lack of diagnosis or misdiagnosis, while patients can get medical services more quickly, and medical institutions can also save costs. Previously, the cognitive analysis of more than 90% of unstructured medical imaging data has been blank due to the large data medical image analysis techniques and computer cognitive computing techniques, which have high technical thresholds and are based on cognitive techniques This technical gap, artificial intelligence in the field of medical imaging business value can not be ignored. According to IBM's information, abroad, as early as 2014, IBM's "Watson doctor" has been in the United States Anderson Cancer Center (MD Anderson Cancer Center) posts, has been known as "the best cancer experts in the future" and " God ". It is estimated that Watson's diagnostic accuracy rate of 73%.