Shulou(Shulou.com)11/24 Report--

On September 6, GE Yue, vice president of Apple and managing director of Greater China, recently delivered a speech at the World artificial Intelligence Conference in Shanghai, focusing on Apple's technological improvements in barrier-free and health functions in recent years.

For example, Apple Watch's auxiliary touch function, AirPods Pro's dialogue enhancement, and the door detection feature released in iOS 16 and iPadOS 16 are all conveniences that Apple provides for special people in the barrier-free area. At the same time, in the area of health, Apple has been considering the health of most people. As a result, Apple has introduced a new "sleep phase" feature in watchOS 9, which can help people better understand their sleep status.

She believes that machine learning is becoming an important tool for Apple's innovation. At the meeting, she also mentioned that Apple's machine learning model depends not only on chip performance, but also on high-quality input, including touch, action, sound, and visual information. Apple integrates sensors into hardware devices to provide fast and highly accurate signals.

What information did Apple give at the World artificial Intelligence Conference? What new developments has Apple made in the field of artificial intelligence? We can keep abreast of the latest situation of Apple through this speech.

GE Yue, Vice President and Managing Director of Greater China of ▲ Apple

The following is the full text of a speech by GE Yue, vice president and managing director of Apple, on "Machine Learning creates a healthier and Barrier Future":

Leaders, distinguished guests: good afternoon, everyone. First of all, I would like to thank the organizers for inviting me to return to the World artificial Intelligence Conference again. I am very glad to have the opportunity to communicate with you today.

At Apple, we hope that our products can help people innovate and create and provide the support they need in their daily lives. Machine learning plays a vital role in it: it can give better play to the powerful function of our combination of software and hardware and improve people's lives in all aspects. We have seen its great power countless times.

Today, I would like to discuss in depth two areas with particular potential for improving people's lives: accessibility and health function. We will explore some of the functions of Apple that machine learning helps: some of them are designed for people with disabilities and people with special needs, while others can help people in a variety of industries lead healthier lives.

But, like any technology, machine learning doesn't work alone, so I'll start with the innovations that made it such a powerful tool.

At Apple, we always pay attention to the integrity of product design. Therefore, whether it is the hardware or software of our products, we have always believed that design and integration should be carried out at the same time.

An excellent example of this integration is Apple Silicon, which helps to achieve some powerful new features through its powerful performance and excellent battery life. Neural network engine is a key part of these innovations. It is built for machine learning and is very powerful and efficient when running machine learning models.

Of course, our cutting-edge machine learning models rely not only on powerful chips, but also on high-quality input, including touch, action, sound, and visual information. We integrate powerful sensors into our devices. These sensors can provide fast and highly accurate signals for our machine learning model.

Combining these sensors, state-of-the-art machine learning models and powerful Apple Silicon, we have designed some functions that can run completely on the terminal device. Each function can be run on our tailored hardware to maximize efficiency and get the best performance without consuming too much power. Because there is no need for high-speed network connection, the performance of the function is more stable and reliable.

Most importantly, privacy is better protected because there is no data to leave the terminal device. This advantage is particularly important for health and accessibility. Because for these features, an excellent user experience is inseparable from efficiency, reliability, and privacy protection.

Let's start with the accessibility function that provides accessibility. We believe that the best products in the world should meet everyone's needs. Accessibility is one of our core values and an important part of all products. We are committed to making products that are really suitable for everyone.

We know that machine learning can help users with disabilities provide independence and convenience, including people with visual impairment, people with hearing impairment, people with physical and motor disabilities, and cognitive impairment. Let's take a look at a few examples, starting with Apple Watch, where the auxiliary touch feature on Apple Watch allows users with upper limb mobility to control Apple Watch through gestures.

This feature combines machine learning on the device with data from Apple Watch's built-in sensors to help detect subtle differences in muscle movement and tendon activity, replacing the lighter display. By including gyroscopes, accelerometers and optical heart rate sensors, users can manipulate the Apple Watch with hand movements such as kneading or clenching fists.

Next, let's talk about AirPods Pro. AirPods Pro combines Apple's H1 chip and built-in microphone to bring a powerful listening experience through machine learning. The dialogue enhancement on AirPods Pro detects and amplifies sound through machine learning. If you are talking to someone in a noisy restaurant, the conversation enhancement can focus on the voice of the person in front of you and make you hear more clearly. It is worth mentioning that this function only needs to be run on the terminal device.

Finally, let's take a look at the door detection feature recently released in iOS 16 and iPadOS 16. The door detection function combines machine learning running on LiDAR scanners, cameras and terminals to help visually impaired users determine the location of the door, detect the distance between the person and the door, and determine whether the door is open or closed. It can even read signs and symbols around the door, such as the room number of the office, or the sign of the barrier-free entrance.

Users can also combine door detection with personnel detection to help visually impaired people move more freely in public places, identify whether there are people nearby, and maintain social distance. These are just a few examples of the substantial impact of machine learning on the lives of people with disabilities. The combination of chip, sensor technology and machine learning based on terminal devices makes our products easier to use and helps users better interact with the outside world.

Health is another potential area that we focus on, which can improve people's lives. Technology can play an important role in making our bodies healthier and encouraging people to live in healthier ways.

Our machine learning and sensor technology can provide useful health information and enable users to gradually achieve overall health through small changes in their daily behavior. We always ensure that these health functions can withstand strict scientific verification, and the effective protection of user privacy is always our top priority.

For example, watchOS 9, which we will launch this fall, includes a new "sleep phase" feature. It can help people better understand their sleep status. The heart rate sensor and accelerometer are built into the Apple Watch. Through the signals of these sensors, Apple Watch can detect whether the user is in the stage of rapid eye movement, core sleep or deep sleep, and provides detailed indicators such as sleep breathing rate and heart rate.

In addition, fall detection uses accelerometers and gyroscopes in Apple Watch, and serious falls can be identified by machine learning algorithms. By analyzing the wrist trajectory and impact acceleration, Apple Watch can send an alarm after a user falls. Of course, we want to go further and find ways to provide support and help before the user falls down.

For this reason, we have created the function of walking stability. This is a pioneering health feature, and the data generated by iPhone as users move around can show how much they are at risk of falling. This important information can help people gradually improve their ability to act, thereby reducing the risk of falling.

Although our exploration in the field of health has only just begun, we have seen that machine learning and sensor technology have great potential in providing health insights and encouraging healthy lifestyles. All these functions are designed to fulfill our mission of creating a better life. We are hopeful about the future of machine learning: we firmly believe that it can stimulate more innovation and improve people's lives.

It can help us understand our physical condition and develop healthier living habits. It can lower the barriers to the use of technology and bring the outside world close at hand. It also protects our privacy and gives us confidence in technology.

At Apple, we strive to innovate, empower users, and make technology a force to improve people's lives. We are pleased to be able to continue to explore up and down this road, using machine learning to help all create a healthier and more accessible future. Thank you!

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