Research Report: Forecast of Artificial Intelligence Development Trends in 2021

Artificial intelligence provides many different technologies, which not only sparked extensive discussion, but also inspired people's infinite dreams for the future. The widespread application of artificial intelligence technology has deeply affected all aspects of our lives and work. Compared with the future trends of any other technology, the future trends of artificial intelligence have many possibilities. What is the most likely AI trend in 2021?

Hyperautomation

Super automation is the combination of robotic process automation and artificial intelligence technology. It is often mentioned as the core aspect of the next wave of digital transformation and one of the AI ​​trends in 2021. The function and practicality of automation have long been known. As an extension of automation, super automation will become more and more concerned.

Intelligent Internet of Things (AIoT)

Artificial Intelligence of the Internet of Things (AIoT) is a combination of the Internet of Things (IoT) and artificial intelligence. In other words, one of the AI ​​trends in 2021 will be the rise of our smart technology to become smarter and smarter. With AIoT, Internet-connected devices will be able to learn from the data they collect. Or understand your voice without sending data to the cloud.

For example, smart office technology will not only detect people in the office, but also make decisions about lighting and heating, thereby saving energy. Taking the home as an example, the AIoT refrigerator will be able to scan its contents and use the food stored inside to recommend recipes.

Increasing use of cybersecurity AI

An increasingly technology-driven world requires more and more complex network security to ensure its safety. Therefore, the use of AI technology-driven cybersecurity tools will become one of the AI ​​growth trends in 2021.

Artificial intelligence will enhance network security by assisting in detecting and preventing cyber threats. For example, by identifying patterns and learning to spot fraud. Or learn to identify abnormal or dangerous activities to prevent unauthorized access and cyber attacks.

AI-enabled chips

Artificial intelligence functions require more processing power than non-AI functions. (AI often involves processing more data) This is closely related to the continuous exponential growth of processing power.

The continuous growth and accessibility of AI computing place higher demands on more powerful hardware. In this way, the creation and supply of artificial intelligence chips will become another leading trend of AI in 2021. Hardware based on AI chips will be more efficient and make the use of AI and automation functions more and more widespread.

AI ethics

Artificial intelligence and ethical discussions go hand in hand and will not change in 2021. As the capabilities and usability of artificial intelligence continue to grow, its ethical implications continue to arouse our attention. The ethics of AI fraud, algorithmic bias, data protection, and acceptable use may cause heated discussions in 2021.

Although artificial intelligence has become part of many people's daily lives, there is no consensus on acceptable uses. Indeed, 2021 will be another growth year for artificial intelligence programs in the future.

AI trends in 2021

Artificial intelligence has always been a buzzword. But it still can only find a foothold in our daily use of technology. The AI ​​trends of 2021 all reflect the continuous introduction of AI technology-and its increasing penetration in our lives.

Artificial intelligence is accelerating the integration and development of various industries and fields, and artificial intelligence technology is gradually infiltrating the real economy and people's livelihood from Internet applications. Based on the data perception capabilities of the Internet of Things and intelligent computing capabilities from the cloud to the terminal, artificial intelligence industry applications continue to blossom, and significant results have been achieved in smart medical care, smart cities, smart logistics, smart transportation, and smart environmental protection. For example, in the field of smart security, AI smart technology + video surveillance can detect threats or identify abnormal and suspicious behaviors in real time.

Based on 5G, Internet of Things, big data, AI, mobile Internet, cloud computing, edge computing and other emerging technologies, the visual video surveillance intelligent analysis created by EasyCVR can be applied in a wide range of scenarios, such as smart cities, security, education, and the Internet of Things , Medical and health, energy and environmental protection industries.

For example, video intelligent monitoring can effectively complete automatic monitoring of vehicle speed reduction, vehicle retrograde, traffic jams, road smoke and fires, and predict and analyze traffic flow, vehicle speed, vehicle type, and emergency urgency to ensure road safety. Provide necessary data support for the rescue of dangerous situations.

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Origin blog.csdn.net/TsingSee/article/details/115355723