Author丨Suvigya Saxena
Translator | Cui Hao
Reviewer丨Noe
You may have passively used artificial intelligence in many scenes in your life ( AI), even if you don’t realize it. For example, many social media and search engines use AI to ensure that users have a seamless experience on the platform. Whether it is automatically tagging friends in photos or providing search results based on historical searches, AI is at work.
The uses of these artificial intelligences are relatively simple and only involve part of the technology - machine learning (ML). Basically, machine learning is becoming increasingly popular, but what about deep learning (DL) and narrow AI? How they create new experiences for streaming services is what we are going to talk about today.
Artificial intelligence is an area that has attracted much attention in recent years. This broad area covers a variety of topics. The general idea of artificial intelligence is that computers perform tasks that previously required human intelligence, such as visual perception and language processing.
Machine learning is one of the most common applications of artificial intelligence solutions today. It involves training an algorithm using large amounts of data and applying it to new data. For example, machine learning algorithms are used in tasks such as facial recognition, spam filtering, and language translation.
Machine learning is a subset of artificial intelligence that allows computers to learn from data even without being explicitly programmed. Machine learning is a branch of artificial intelligence that focuses on developing computer programs and having them learn when exposed to new data. This allows the computer to make its own decisions without human intervention.
As a result, machine learning is the basis of many services and products, including search engines and social media platforms. Many financial institutions use machine learning to monitor customer account activity for fraud or other irregularities.
While artificial intelligence technology has been used for many years, it has recently gained traction thanks to some developments at large tech companies and small startups. Be the center of attention. One application that has attracted much attention is personalization.
For the uninitiated, artificial intelligence is a computer program that performs work related to human intelligence. The term covers a wide range of applications, including speech recognition and content filtering. AI is also sometimes used as a synonym for machine learning or deep learning. Tasks that AI can accomplish include image recognition and language processing — identifying objects in photos and translating text from one language to another, respectively.
The artificial intelligence hype cycle has been going on for decades. But today’s technology is finally catching up to the hype, thanks in large part to advances in machine learning algorithms—the driving force behind technologies like speech recognition, natural language processing, self-driving cars, and other artificial intelligence applications.
Live streaming has become a powerful tool for communication and entertainment. It seems to be the “new communication method” after email, text message, and WeChat. The number of people watching live broadcasts around the world is growing rapidly, and artificial intelligence will play a vital role in the future development of the live broadcast industry.
Many of us like to watch live broadcasts of various forms such as sports events, concerts, award ceremonies, etc. This type of live streaming appeals to us because it provides more real-time information than other media. In addition, performers or players always bring us impressive surprises through live broadcasts.
On the other hand, artificial intelligence technology is also developing rapidly today. In particular, artificial intelligence algorithms play an important role in many fields such as marketing, finance, education, and medical care. Moreover, artificial intelligence has been applied to cars, missiles, and drones. It provides independent decision-making for unmanned control scenarios and has become an indispensable part of the application of this scenario.
The process involves using live video, rather than pre-recorded video or images. Live streaming differs from other video sharing services in that recording is done in one go. You don't need to edit it at all, what you record is what you get.
The answer is yes. Here are some ways:
1. Artificial intelligence can provide real-time analysis for better performance – Artificial intelligence can help provide data on audience responses to live streams. This can help improve content and overall live streaming performance.
2. Content discovery becomes easier with the help of artificial intelligence - if you use social media sites for promotion, artificial intelligence can help you find the best time to publish content so that more users can see it .
3. Content indexing can be used to improve user experience—TikTok’s parent company ByteDance has found a way to combine artificial intelligence with human curation (human curation of displays) to enhance video content cataloging for Provide users with a better experience. TikTok, which allows users to create short videos that can be shared with friends or posted on other social media platforms, is popular among young people. To keep up with demand for new videos, Bytedance has developed a system that uses artificial intelligence to learn from user preferences and provide them with relevant content suggestions. However, this technology alone cannot meet the needs of the growing TikTok user community.
Artificial intelligence is everywhere, in the most advanced technologies, such as robots, automation, etc. All of them include an artificial intelligence system to increase user safety.
Artificial Intelligence is a source of security for devices such as phones or TVs. It provides better response to commands and allows better control of the device. Furthermore, it is able to learn from experience and improve itself. And these functions are already implemented in some software, such as Siri. We can communicate with our devices naturally by sending voice commands to Siri, and Siri will perform the required action within seconds of accepting the command.
There are more examples of artificial intelligence in all aspects of daily life, and the application of artificial intelligence has improved the safety and efficiency of products. It can analyze situations and make appropriate decisions. In addition, it can learn from its mistakes to improve itself, guaranteeing that it will be better every time it performs next time.
Safety has become an important issue that people pay attention to. It's obviously impossible to completely avoid hackers, but finding solutions to the problem can be challenging at the same time. There are several ways to ensure the security of your system. One of them is to use artificial intelligence, which is completed through the cooperation of software and hardware.
In software usage scenarios, artificial intelligence solutions will act as guardians of the system and prevent any unauthorized access. The AI software operates in a learning mode every time a user attempts to access the system. It will learn from past experiences and modify itself so no one can break into the system. In a hardware-based AI scenario—an external device is required whenever someone enters a wrong password or command. The device will notify and deny access to anyone until you allow them access.
Security systems have entered a new era. With the help of artificial intelligence, user security and privacy are improved. Whether it is a business user or an individual user; artificial intelligence-based security systems are the best choice. So what makes them different from traditional systems?
Traditional security systems:
Rely on signatures, pattern matching, blacklisting and other known malware techniques. Unfortunately, these techniques are not very effective at detecting unknown malware attacks.
AI-based security systems:
AI-based security systems rely on sophisticated machine learning models that can detect unknown attacks. They do not rely on blacklists as they are pattern based.
Original link:
https://readwrite.com/how-artificial-intelligence-is-regulating-live-video-streams/
Cui Hao, 51CTO community editor and senior architect, has 18 years of software development and architecture experience and 10 years of distributed architecture experience. Formerly a technical expert at HP. He is willing to share and has written many popular technical articles with more than 600,000 reads. Author of "Principles and Practice of Distributed Architecture".
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