Driving contactless digital transformation
Semantic AI on Edge Chip
AI semantic voice control chip will replace touch interface and drive enterprises to carry out digital transformation
Human-Computer Interaction Interface
The human-computer interactive interface can be controlled by using natural language voice control, the LineBot menu, or by engaging in a text dialogue. Other interactive interfaces can also be supported.
AI Semantic Engine on Edge Devices
The AI semantic engine provided by Ubestream can be applied to edge or terminal devices. This allows users to replace the touch screens with semantic voice control to avoid the spreading of bacteria and viruses. The AI semantic engine empowers devices to interact with humans in a natural manner.
Support Chips from Various Brands
Ubestream can use a semantic engine for microcontrollers, which introduces ultra-low power consumption on edge. It can provide lightweight power consumption for IoT devices in a specific restricted resource platform.
AI Semantic (NLP/NLU) STT(ARS)/TTS Engine on Edge Devices
The National Development Council’s research report pointed out that in the next three years, global AI will develop from cloud to edge. AI training will still be the main force of cloud AI, but AI inference will shift from cloud to edge devices. That is, the popularization of AI-capable edge or terminal devices will increase. In the future, edge and terminal devices can have AI responsiveness without connecting to the cloud or using GPU computing power. The key is to use lightweight AI algorithms which allows AI edge computing to be implemented into micro servers at the edge or in terminal devices and chips.
Ubestream has successfully developed AI semantic edge computing technology, which can embed lightweight AI semantic algorithms into low- and medium level low-power chips often used in consumer electronics. In the digital transformation driven by the pandemic, AI semantic voice control chips will replace the touch interface. As a result, in can be used in smart homes and smart hotels, TV audio, light security control, smart stores, and smart restaurants. It can further be adapted to suit machines, autonomous vehicles for smart transportation, smaller consumer goods, video games, robots, and even interactive devices such as virtual avatars using XR technology.
AI semantic (NLU/NLP) chip applications
How NLP works?
NLP entails applying algorithms to identify and extract the natural language rules such that the unstructured language data is converted into a form that computers can understand. The AI semantic engine from Ubestream includes the following features:
1)Offline deployment: Speech to text (ASR) and text to speech (TTS) command sets can be implemented in edge devices. The specific command sets for restricted resources in microcontroller systems are important.
2)AI implementation to low-power microcontrollers: Ubestream is able to implement ultra low-power consumption technology on edge, providing lightweight solutions for IoT devices.
3)Can be applied to smart homes and cities: Technologies like STT, TTS and semantic engines applied on IoT devices can be used in smart homes, smart cities, etc.
4)Contactless solutions: Ubestream provides good contactless solutions such as voice-controlled communication with IoT devices. This will help minimize the risk of transmission of bacteria and viruses, such as that of COVID-19.
Driving Contactless Digital Transformation
In the digital transformation driven by the pandemic, AI semantic voice control chips will replace the touch interfaces to avoid infection. These voice control algorithms can be used in scenarios such as smart homes, smart hotels, smart stores and smart transportation.
Semantic AI on edge, embedded into chip sets, has paved the road for future AI companies and broken technical barriers. Ubestream’s algorithms currently support Chinese and English, while the company is working to expand its algorithms to Japanese.
Why use AI semantic voice control chip ?
AI semantic voice control chips can replace touch interfaces, providing a safer option for customer service during and after the pandemic.
- The technology can be used in smart homes and smart hotels, such as air-conditioning, televisions, light control, smart stores and restaurants, and multi-functional ordering machines.
Human-computer interaction interface, wearable devices, and AI semantic chip enables better user experience.
- Smart transportation, smart autonomous vehicles, mobile devices, earphones, wearable watches, video games, robots, and even interactive devices such as virtual idols using XR technology. The AI NLU chip can be embedded as a co-processor, allowing these devices to use interactive NLU voice control by using GPU computing power – it can even work without connecting to the cloud.
The global AI industry is slowly shifting from cloud to edge. The application of this technology will therefore allow companies to stay ahead of future trends.
- A research report conducted by the National Development Commission points out that the global AI market will shift from cloud to edge in future. Enterprises should implement AI semantic voice technology to gain an advance in the market, as well as seize the business opportunities available. Eventually, this will allow companies to increase market share.
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