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C&L October 2017_LR (5)

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Insight<br />

The initial driver for the rapid adoption<br />

of AI in smartphones is the use of<br />

facial recognition technology by<br />

Apple's new iPhone X<br />

O<br />

ne in three smartphones -- roughly over half<br />

a billion -- shipped in 2020 will have machine<br />

learning and artificial intelligence (AI)<br />

capabilities at the chipset level, new research<br />

said on Monday.<br />

According to Counterpoint's 'Components<br />

Tracker Service', Apple, with its Bionic system<br />

on chip (SoC), will drive native AI adoption in<br />

smartphones, making the iPhone maker a leader<br />

in the AI-capable chip market through 2020.<br />

Huawei, with its HiSilicon Kirin 970 SoC, is<br />

second in the market after Apple with AI-capable<br />

smartphones.<br />

"The initial driver for the rapid adoption of AI<br />

in smartphones is the use of facial recognition<br />

technology by Apple in its recently launched<br />

iPhone X," said Counterpoint Research Director<br />

Jeff Fieldhack.<br />

"Face recognition is computationally intensive and if<br />

other vendors are to follow Apple's lead, they will need<br />

to have similar on-board AI capabilities to enable a<br />

smooth user experience," he added.<br />

Qualcomm is expected to unlock AI capabilities in its<br />

high to mid-tier SoCs within the next few months.<br />

Qualcomm should be able to catch up with<br />

Apple and Huawei and is expected to be second in<br />

the market in terms of volume by 2020, followed<br />

by Samsung and Huawei.<br />

"With advanced SoC-level AI capabilities,<br />

smartphones will be able to perform a variety<br />

of tasks such as processing natural languages,<br />

including real-time translation; helping users<br />

take better photos by intelligently identifying<br />

objects and adjusting camera settings<br />

accordingly," explained Counterpoint Research<br />

Director Peter Richardson.<br />

Machine learning will make smartphones<br />

understand user behaviour in an unprecedented<br />

manner.<br />

Analysing user behaviour patterns, devices will<br />

be able to make decisions and perform tasks that<br />

will reduce physical interaction time between the<br />

user and the device.<br />

"Virtual assistants will become smarter by<br />

analysing and learning user behaviour, thereby<br />

uniquely serving each user according to their<br />

needs," Richardson added.<br />

According to Research Analyst Shobhit Srivastava,<br />

there is also growing potential in for AI-capable<br />

devices to play a key role in health care.<br />

"Machine learning algorithms can be used to<br />

generate health and lifestyle guidance for users by<br />

analysing combinations of sensor data and user<br />

behaviour," said Srivastava.<br />

<strong>October</strong> <strong>2017</strong> | CIO&LEADER<br />

33

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