Teknologi Kecerdasan Buatan Ai

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Sunday, 4 Jun 2023 21:37 0 161 setiawan

Teknologi Kecerdasan Buatan Ai – Artificial intelligence also plays an important role in video. So let’s talk about using artificial intelligence technology in videos.

There is a lot of video content on the internet. It can be accessed through smartphones, desktop computers and smart TVs. Huge amounts of data are distributed online every day, creating challenges like cache problems.

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Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) are often used interchangeably. However, these are different areas.

Machine Learning – The process of machine learning. In this process, the computer receives data and learns to interact with the data.

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Almost all content shared on social media can lead to a violation of privacy, including copyright. This type of material is more difficult to propagate. The popularity and accessibility of video production has led to an increase in criminal activities such as stalking and defamation.

Social media platforms try to track and control what users post to avoid privacy issues. For example, Facebook often relies on its own reporting tools and investigative teams. But that’s not enough to get through the plethora of online videos that are released every day.

Object detection is possible using deep learning models for AI recognition and processing. The model can scan images and videos, find objects and classify them based on the model’s knowledge base. For example, algorithms can be trained to recognize people, different types of buildings or cars.

Companies like FB and Google use AI technology to identify problematic content in images and videos. Digital Signature Generation Object Tracking identifies content and then prevents it from being re-uploaded.

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Adaptive Bit Rate (ABR) is an algorithm that handles sudden changes in bandwidth. Algorithm adjusts video resolution according to current bandwidth without clipping video, eliminating caching problem.

Adaptive bitrate does not change resolution based on stream content. The bandwidth does not provide enough resolution to produce high quality images. To be truly effective, it’s important to distinguish between scenes that require higher resolution and scenes that can’t be missed because of less detail.

A deep neural network (DNN) covers the remaining space with an adaptive bit rate. By watching the entire video and then determining what quality is needed at any given time, a DNN can calculate traffic. It also takes into account the computing power of the user’s streaming device, such as a smartphone. Therefore, DNN ensures that users get the highest speed in all situations.

Advanced video compression software automatically compresses videos using artificial intelligence. You can use Auto to save time on tasks like video compression. This technology allows users to compress videos quickly when uploading to the cloud.

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AI can also optimize live video encoding using predictive models and machine learning. The first step is to train the algorithm – test it. Part of this process is done offline.

The goal is to create predictive models that are then fed into the coding system. The system then uses one of three dynamic predictive code models to optimize the bitrate, resolution, and frame rate.

When videos are delivered quickly, video content must be classified in a timely manner. This classifies content according to defined parameters to improve user experience.

Social media apps like TikTok use AI to personalize content and deliver the most relevant content to users. Other companies, such as music distribution companies, use these algorithms to recommend content similar to the content and style that users are currently listening to.

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Natural Language Processing (NLP) is a branch of artificial intelligence that allows computers to understand and process human language. NLP is used for voice description, real-time transcription, and subtitles. The goal is to bring computers to the point where they understand language just like humans.

We can start using AI for video, especially live video. The tasks that AI tools will need to handle in the future are classification, object recognition, and face recognition.

Artificial intelligence AI can help solve problems, from protecting privacy to improving the quality of the user experience. With the rise of video streaming, AI solutions will quickly become mainstream. Why not! This is an example of the evolution of the world of technology that is said to be changing the world: artificial intelligence or artificial intelligence.

The concept is very simple, that is by creating special logic algorithms that allow machines to perform predictable tasks like humans.

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With the combination of modern technology and many algorithms powered by big data, the concept of artificial intelligence can be improved every day. Recently, artificial intelligence technology is said to be able to compete with human predictive ability.

Tools that use data, predictions, history, and more in big data. The tool then processes this data and makes an appropriate prediction or response. It’s very complicated, but actually you can easily use AI!

If you want to know how AI works, here are 5 examples that are common in society as well as in business and industry:

Digital marketers are certainly familiar with the use of AI in the field. Thanks to its predictive capabilities, AI provides insights into return on investment (ROI) and revenue growth.

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This way, digital marketers can determine how much of their budget they need to increase to get the best results. In addition to adding to the budget, they also have access to other optimization data they need to deploy to further optimize their campaigns.

In fact, not only in the world of digital marketing but even in the world of finance (like investing and bookkeeping), AI can help you predict how much income you can achieve. Unless, of course, you do something unusual, such as retreat or abruptly change your strategy.

In the manufacturing world, AI also offers significant benefits, one of which is providing predictable machine maintenance schedules.

Before there was AI that could automatically learn automotive systems, every technician had to perform manual checks on a regular basis. In addition to being time-consuming and inefficient, this activity also reduces the level of work in the production department. This is because the production process has to stop when the equipment is tested.

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As a result, machine maintenance schedules can be made more efficient through the use of artificial intelligence. It checks the software regularly and then provides information if there is any damage.

In the world of customer service, conversational speed is key. Unfortunately, sometimes the number of people talking doesn’t match the number of incoming conversations. That’s why artificial intelligence is needed.

AI can respond to conversations in the form of simple repetitions of information, such as event information, opening hours, addresses, promotions, registration, terms and conditions. Therefore, the CS team should only answer urgent questions.

Digital marketers using email marketing strategies will also benefit greatly from this AI. The system can automatically send promotional messages and even change email recipients based on the customer journey. For example, the system will only provide more discount emails to customers who have transactions in the last 1 week.

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If you are a smart home user, you might like this feature. For example, if you forget to lock the door, the AI will automatically lock it.

Or you can adjust the brightness of the lights based on time, provide information, predict the availability of kitchen ingredients, and calculate an approximate monthly electric bill. AI can help manage households more efficiently.

If you use data to make decisions, you should know that AI can help you segment data automatically.

For example, if you use Google Analytics, you can get information about the monthly increase in website visitors, estimates, user segments based on the device used and the estimated revenue you can generate. receive.

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If you use CRM, AI can help you categorize your customers and clients based on their communication habits. This data will help you to implement further development strategies in the future.

With all the premium features, you still deny the existence of artificial intelligence or artificial intelligence? Of course, AI is a tool, so the quality consistency is always the same and never gets tired.

You can achieve this through AI-powered software: Customer Relationship Management (CRM), which has been proven to help many businesses across different industries. Come and see the details here!

“Before the advent of technology, flying took a lot of time and effort. “When you move to digital marketing, the reach is much broader and it doesn’t take too long to reach sponsors or potential sponsors.”

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“I’m really excited because the material fits so well with the material I teach. It has a lot to do with branding, marketing, and especially entrepreneurship.”

“Perhaps that is what we want. We finally found the answer to our problem. The details and delivery are clearly exquisite. Technology News, ().- Information about computer science research on artificial intelligence machines (computers).

So it can do its job, act like a human, or even better than a human.

This knowledge is in the form of artificial intelligence applications or programs that can be imported into any computer language, whether Basic Language, Pascal, or other programming languages.