AIoT, not just AI+IoT
- 1. C&T RF Antennas Inc www.ctrfantennas.com rfproducts1@ctrfantennas.com Please Contact us for more information, thank you. Jasmine Lu (86)17322110281 AIOT, not just AI+IOT Written By Calio Huang An AIoT is not a simple AI+IoT but uses artificial intelligence, Internet of Things and other technologies. It is based on big data and cloud computing. It uses semiconductor as the algorithm carrier, network security technology as the implementation guarantee, and 5G as the catalyst, knowledge and intelligence for integration. On March 28, 2018, at the 2018 Yunqi Conference and Shenzhen Summit, which opened in Shenzhen, Ali proposed the troika of all things: IoT, AI, and cloud computing. Alibaba Cloud President Hu said that Ali not only regards the Internet of Things as "connection", but on the basis of the Internet of Things, it can open up with AI and computing power and lead to a future "Intelligent Network" (AIoT). In April 2018, Baidu and Hard Egg signed the framework agreement for AIOT domain. Baidu as the AI end, hard egg as the IoT hardware end, will absorb 20-30 solution providers, and the two sides jointly screen some partners. At the same time, Baidu is also actively deploying AIOT security solutions to provide security services for vendors. On November 28, 2018, Lei Jun announced at the Xiaomi AIOT Developers Conference: AI+IoT is Xiaomi's core strategy, and will not waver in the next five or ten years, and will cost 10 billion All in AIoT in the next five years. On December 26, 2018, Huawei officially announced the AioT strategy for the first time, aiming at solving technical problems in the process of enterprise and industry intelligence. Huawei has deployed HiAI and HiLink platforms for AI and IoT and will launch Huawei's new brand for smart homes. In 2018, an "AIOT fever" was set up, and the giants transformed into AioT. The startups seized the new opportunities of AIoT. However, no one seems to be too clear about what AIOT is. From a broad definition, AIOT is the fusion of artificial intelligence technology (AI) and the Internet of Things (IoT) in practical application. However, AIOT is not a simple AI+IoT but uses artificial intelligence, Internet of Things and other technologies. It is supported by big data and cloud computing. Semiconductors are used as algorithm carriers, and network security technology is used as a guarantee. 5G is used as a catalyst. Integrate data, knowledge, and intelligence.
- 2. C&T RF Antennas Inc www.ctrfantennas.com rfproducts1@ctrfantennas.com Please Contact us for more information, thank you. Jasmine Lu (86)17322110281 Artificial intelligence - deep learning is the mainstream In 1956, the Dartmouth conference marked the birth of artificial intelligence. "Artificial intelligence is to make the behavior of the machine look like the intelligent behavior that people display." Machine learning also includes many kinds of anti-learning, One of the most eye-catching is deep learning. According to the classification of topological structure, deep learning can be divided into a convolutional neural network, cyclic neural network, and fully connected neural network and deep learning process are realized through an algorithm framework. With the successful breakthrough of the deep learning algorithm in voice and visual recognition in 2013, with AlphaGo defeating the world's Go champion Li Shishi, artificial intelligence began a new round of explosion and began to commercialize in the financial, automotive, medical, education and other industries. Cloud computing - the next step is to expand fog, edge computing, and intelligent sensing devices. At the beginning of the construction of the Internet of Things, the earliest proposed M2M is the connection between devices. However, with the increase of devices and the increase of calculations, cloud computing was born and these resources can be quickly provided and released while achieving management costs or service provision. Minimization of business intervention. However, as connected devices are geometrically multiplied, low-latency and high-flow computational load pressures make this centralized data processing model unsustainable. Therefore, setting up local distributed network devices at the end of the data to process data, store fog calculations, edge calculations, and intelligent sensing devices will become new directions in the future. 5G - new networking mode The networking model has experienced a fixed network, 2G, 3G, 4G, and the 5G era is coming. The first four generations of mobile communication network technology only focus on mobile communication, and 5G also includes the application scenario of the Internet of Things. 5G will penetrate into all areas of the future society, so that information can break through the limitations of time and space, pull into the distance of all things, and finally realize the intelligent interconnection of people and everything. In addition, big data provides data assets for the development of AIOT, and semiconductors will become the carrier of algorithms and communications. After experiencing the development stage of the Internet, Internet 2.0, Internet+, and mobile Internet, based on software technology and smart devices, IMOT is emerging under the integration of artificial intelligence, big data, cloud computing, 5G networking technology, and semiconductor technology. Conclusion MarketsandMarkets, the world's second-largest market research organization, recently released a report saying that the global AIOT market will be $5.1 billion in 2019. By 2024, this number will grow to $16.2 billion, a compound annual growth rate of 26%. And MarketsandMarkets pointed out that the effective processing demand for a large amount of real-time data generated by IoT devices is the main driving force for the growth of the global AIOT market.