What will the AI smartphone look like? There are at least 10 of these features

What the AI smartphone will look like. There are at least 10 of these features#故事人工智能

By 2022, about 80% of smartphones will integrate AI capabilities, according to Gartner, the research firm. The company lists 10 use cases for AI smartphones, including user authentication, emotional recognition, natural language understanding, augmented Reality (AR), and AI vision.

Gartner believes that AI capabilities will be a means for smartphone makers to improve product differentiation, acquire new customers, and retain existing users. The smartphone market is now transforming from "selling technology products" to "delivering compelling personalized experiences", so AI solutions that run on smartphones will be an important part of the mobile phone manufacturer roadmap for the next two years.

By 2022, Gartner predicts that smartphones with AI capabilities will account for 80% of shipments, compared with only 10% in 2017. Only high-end devices are now equipped with AI capabilities, and they can provide better data protection and power management capabilities than cloud-based AI, because data is processed and stored natively.

"With smartphones increasingly becoming a popular device, handset makers are looking for ways to improve product differentiation. "The future of smartphones has AI capabilities and can be user-centric to learn, plan and solve problems, not just to make smartphones smarter, but to improve human intelligence by reducing the cognitive burden," said CK Lu, Gartner's research director. But the AI function on smartphones is still in its infancy. ”

10 uses of AI smartphones

"In the next two years, most use cases will still take advantage of a single AI function and technology," said Roberta Cozza, Gartner research director. In the future, smartphones will combine two or more AI features and technologies to provide a more advanced user experience. ”

Gartner lists 10 AI smartphone use cases that can help handset makers provide better service to their users.

1) This machine "Digital Me"

The smartphone will be an extension of the user, able to identify the user and anticipate the user's next move. They will identify who you are, what you want, when you want it, how to accomplish it, and perform the task under the authority you assign.

"Your smartphone will track you all day and learn, plan and solve problems for you," said Angie Wang, a Gartner research analyst. It will use its sensors, cameras and data to accomplish these tasks automatically. For example, in a networked home, when you leave, the AI will clean up with a vacuum cleaner, or start the rice cooker 20 minutes before your arrival. ”

2) User authentication

Simple password-based authentication is becoming increasingly cumbersome and inefficient, resulting in poor security, poor user experience, and high costs. Security technologies that combine machine learning, biometrics, and user behavior can improve availability and self-service capabilities. For example, a smartphone can capture and learn the user's behavior, the mode of walking, the habit of tapping, pressing the phone, scrolling, and typing, so that no password is needed, and the user does not need to be actively authenticated.

3) Emotion Recognition

Smart phones with mood-sensing systems and "emotional computing" capabilities can detect, analyze, process, and respond to people's emotional state and mood. Virtual personal assistants and other AI technologies in the session system are proliferating, and increasing EQ is a big requirement in order to provide a better context and a better service experience. For example, automakers can use the front-facing camera of a smartphone to understand the driver's physical condition, assess their fatigue level, and improve driving safety.

4) Natural Language understanding

Continuous training and deep learning on smartphones can improve the accuracy of speech recognition while better understanding the user's specific intentions. For example, when the user says "cold weather", the real intention may be "buy a coat online," or "Please turn the heating up". For example, when traveling abroad, the natural language understanding feature on smartphones can provide you with some degree of real-time voice translation services.

5) Augmented Reality (AR) and AI Vision

Apple's iOS 11 includes a Arkit feature that provides developers with new tools to add AR to the app. Similarly, Google announced the launch of the Arcore AR development tool on the Android platform, which plans to enable AR functionality on about 100 million Android devices by the end of next year. Google predicts that almost all new Android phones will have their own AR support next year. What's the use of it? For example, some apps can use the AR function to help users detect diseases such as skin cancer or pancreatic cancer.

6) Device Management

Machine learning will improve device performance and standby time. For example, with many sensors, smartphones can better understand and learn about user behavior (for example, when to use which app). The smartphone will be able to keep the app running in the background, allowing it to restart quickly, or turn off unused apps to save memory and battery.

7) Personal Analysis

Smartphones can collect behavioral features and personal mode data. Users can obtain different protection and assistance based on ongoing activities and their environment (e.g. family, vehicle, office or leisure activities). Service providers such as insurers can provide services based on the characteristics of users rather than assets. For example, they can adjust the car insurance rate according to the driving habits of the owner.

8) Content Review/inspection

The onboard AI feature can also detect problematic content, flag bad images, videos, or text, and initiate various notifications. Computer recognition software can detect content that violates laws or policies. For example, if you take photos in a highly confidential facility or store highly classified data on a company-provided smartphone, the IT department will be notified.

9) Personality shooting

Smartphones can automatically beautify photos based on the user's personal aesthetic preferences. For example, there is a different aesthetic preference between East and west-many Asians prefer a fair complexion, while many westerners like the color of wheat.

10) Audio Analysis

The smartphone's microphone can continue to listen to the real world voice. The onboard AI feature can identify these sounds and provide guidance to the user, or trigger some events. For example, if a smartphone hears a user snore, it can trigger the user's wrist strap and guide the user to change their sleep posture.