Artificial intelligence (AI) will provide a strong impetus to reform and innovation in the digital economy. In terms of content production, AI technologies and device learning models such as generative AI and data avatars will bring about changes in content production, capable of independently generating various digital contents such as text, graphics, audio, video, and virtual scenes, which will promote the flourishing of generative AI and create a new shape of digital content generation and interaction. In addition, the changes in content production brought by AI and generative AI will also make future Internet applications such as VR/AR and metaverse a desirable reality.
Generative AI and data avatars become a development trend
There are two development directions in the AI industry that are closely related to the Internet and data economy trends.
The first is generative AI, a technology that represents the future direction of AI.
Generative AI refers to AI and machine learning algorithms that independently generate new text, graphics, audio, video and other content based on training data. Generative AI can learn and abstract the essential ways of input data and apply them to generate new similar content. Currently, generative AI can generate high-quality creative content with little human participation, enabling image style conversion, text to image, image to emoji, photo or movie repair, generating real people's voices, generating facial or other visual targets, building 3D virtual environments, etc. People just need to set the scenario, and generative AI will independently derive the desired result, which will not only bring about zero marginal benefit content production change, but also prevent stereotypes from human thoughts and experiences.
The second is the data avatar. Data avatars are intelligent humanoid characters made by computer 3D image software. Compared with past virtual characters such as "Avatar" in film and television special effects, virtual humans integrate AI generation, instant motion capture and other technologies to communicate with customers more intelligently and instantly in terms of language, expression and movement. Virtual humans are becoming a cutting-edge crossover industry combining computer graphics, AI and VR, dynamics, multi-purpose cognition, and other disciplines, and moving from online entertainment to offline functional scenarios.
The first trend in the evolution of virtual humans is the integration of conversational AI systems to give traditional virtual assistants, intelligent customer service, and other chatbots a figurative and relatable image of people to strengthen the emotional connection in communication. The second trend is the production of richer and more practical tools. Customers can modify the parameters on the basic image template provided by the system and "make" a unique image in just 30 minutes.
AI technology will have six major impacts
AI technology will contribute to the development of diverse and inclusive Internet applications, ensuring that everyone canlpwa solutions access Internet applications and have a more natural interaction experience. The integration of machine translation, speech recognition and generation, and conversational AI systems will enable customers who speak different languages to carry out more natural communication with each other. In addition, key technologies such as motion discrimination, gaze tracking, and brain-computer interfaces will also bring more enhanced interaction technologies to future Internet applications such as VR/AR and metaverse.
Bringing zero marginal benefit to content production change, industrialization creates AI-generated content. The significance of generative AI for future Internet applications such as VR/AR and metaverse is the same as the significance of UGC (User Generated Content) for current Internet applications. Generative AI can now generate various kinds of realistic content such as faces, objects, and scenarios, and can also generate realistic images from textual descriptions or simple engravings. These advances represent the creation of scalable, realistic unreal worlds based on the convergence of AI and AR/VR, a content production reform that will enable the metaverse to meet the diverse content requirements of a large number of users in a cost-effective and efficient way, according to generative AI.
Bringing a more intelligent avatar. The AI module is able to analyze 2D pictures of customers or carry out 3D scans and subsequently produce highly realistic simulation renderings, while incorporating facial expressions, mindset, hairstyle, psychological characteristics and other factors to make users' avatars more vividness. In addition, the avatars created by generative AI and the voices of people it generates can also provide security to customers' privacy in many premises.
Next-generation AI personas, such as those driving digital people, create a more immersive experience of using the metaverse. The integration of technologies such as conversational AI systems and advanced instant image processing will drive digital intelligences such as digital people and virtual assistants that can realistically mimic every human smile and become more intelligent and personalized, providing customers with a more intuitive and immersive feeling of intelligence in the metaverse. It can be said that new AI characters such as digital people will determine the feeling quality and allure of future Internet applications such as VR/AR and metaverse.
Apply personalized content and service delivery in future Internet applications. The current Internet is facing such difficulties as information load, VR/AR, metaverse and other future Internet applications still exist, and may even become more prominent, thus, high-performance AI-driven intelligent recommendation systems will play an important role.
Identify and combat malicious behaviors. The amount of content in VR/AR, metaverse and other future Internet applications will also grow exponentially. This represents that illegal and harmful contents may become more prominent in the metaverse. Thus, it will become increasingly important and necessary to use AI technology to identify and combat malicious behaviors in the metaverse.
Can't you just change your router?
Did you know that you don't have to use the router provided by your service provider? You can use your own router in its place, and there are several compelling reasons to do so: A better and more dependable connection might be provided via a new router.
LoRaWAN: Is Internet a requirement?
Of course, the LoRaWAN node does not require any additional communication channels beyond LoRaWAN. Would not make sense if it did not. The server application that will be utilized as a central instance for your use case must be connected to by the gateway, though.
What in telecom is Lpwa?
The term Low Power Wide Area (LPWA) technology first appeared in 2013 and refers to a family of wireless technologies that are ideally suited to the unique requirements of machine-to-machine (M2M) and Internet of Things (IoT) devices.
Is line of sight required for LoRaWAN?
Given that the majority of the test's gateways were situated within a circle with a radius of between 30 and 60 kilometers, along with one gateway that was 75 kilometers away but over a hill, it is possible to conclude from the results that LoRaWAN can achieve an operating range of several tens of kilometers in applications requiring Line-of-Sight communication.