5G makes artificial intelligence omnipotent
The application of artificial intelligence in our lives is becoming more and more common, but many people complain that these applications are still far from being "intelligent". But now, Intel has combined 5G technology with artificial intelligence to improve the learning ability of artificial intelligence and lower latency transmission of data, greatly raising the "IQ" of artificial intelligence.
5G—Improving AI’s Contextual Understanding
The most common application of artificial intelligence around us is artificial intelligence voice assistant
. We have to admit that in some cases, artificial intelligence voice assistant can indeed improve work efficiency to a certain extent, but there are also many situations where we have to rely on manual operation. Due to the original technical limitations, intelligent voice assistants can understand the content of a command, but if there is no context, they may misinterpret the true intention of the command.
For example, when some device services such as Alexa, Siri and Google Assistant misunderstand homophones and homographs, the lack of contextual understanding may result in funny feedback.
Image source: Huafen Club: http://club.huawei.com/thread-10270682-1-1.html
Therefore, understanding the context is crucial, and Intel has integrated 5G technology into the application of artificial intelligence voice assistants to upgrade the skills of voice assistants and respond to teasing in minutes.
Using 5G will help AI voice assistants better understand context and improve their learning ability. With 5G technology, intelligent voice assistants will be able to better understand people's instructions, the context behind the questions, and provide us with useful information. For example, the word "tablet" may refer to a laptop, a writing tablet, or a pill or a large flat stone (like the tablets in the Ten Commandments in the Bible). But if people say that the doctor asked them to swallow a "tablet", then the AI will know that they swallowed a pill, not a computer device."
5G can also help voice assistants learn to distinguish different voices in a household, helping smart homes operate only under the voice commands of mom or dad, which can prevent children from accidentally turning on the stove without adult supervision.
5G—the blessing of digital cities
Computers have always been good at processing consistent, standard structured information, such as numbers and equations. However, the things we deal with in our lives are often unstructured information that goes far beyond "standardization".
In order to meet actual application scenarios, artificial intelligence needs to keep abreast of changes in scene data and have the ability to learn in order to meet different needs.
This is actually quite common, for example, most social media platforms use AI to enable features such as facial recognition and photo tagging. Emerging IoT fields, including smart cities and self-driving cars, require very fast control of large amounts of unstructured data. More and more things in the world will be equipped with technologies such as AI sensing and can communicate with each other to improve the construction of smart cities. Among them, the combination of 5G networks and AI will be crucial.
Helping autonomous driving respond in real time
Traditionally, most AI applications reside in the cloud. In the future, ultra-low data transmission latency will be particularly important as the amount of data generated by these devices (such as smartphones or security cameras) increases, placing increasing pressure on data processing in the surrounding cloud computers.
For example, a recent report by McKinsey & Company shows that the decision to brake or accelerate a self-driving car must be made within a delay time close to zero, and 5G's edge computing can greatly and efficiently improve the data transmission speed and achieve almost zero-delay response capability, which is undoubtedly indispensable for self-driving.
Helping drones communicate better with artificial intelligence
5G will become an important driving factor for AI to enhance network edge capabilities and reduce data dependence on the cloud. 5G's edge computing capabilities also mean that devices will be able to better understand their operating environment, helping AI become an important part of our daily applications. Because 5G's low latency response and edge computing capabilities enable devices to directly connect and communicate and work together, the so-called "cluster computing." For example, when you want to measure a bridge, a single drone can only share digital images of one side of the bridge in real time, while drones with artificial intelligence technology can, with the assistance of 5G, stitch together images taken by multiple groups of drones in real time to construct a 3D image of the bridge.
The combination of 5G and AI can “tame” devices
Ultimately, the combination of 5G and AI will make devices “tameable,” improving the artificial intelligence systems and machine learning capabilities in devices and enhancing their understanding of the environment. 5G will enable smart voice assistants and other devices to learn the user’s environment and usage preferences at any given moment, thereby achieving better response and assistance.
This means you should be careful when messing with your voice assistant in the future.
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