One in three smartphones— around over half of a billion — shipped in 2020 will have machine learning and Artificial intelligence (AI) capacities at the chipset rate, new research said on Monday.
Relating to Counterpoint’s ‘Components Tracker Service’, Apple, using its Bionic system on chip (SoC), will drive indigenous AI adoption in smartphones, making the iPhone manufacturer ahead in the AI-capable chip market through 2020. Huawei, using its HiSilicon Kirin 970 SoC, is second on the market after Apple with AI-capable smartphones.
“The initial drivers for the swift adoption of AI in smartphones is the utilization of facial recognition technology by Apple in its recently launched iPhone X,” said Counterpoint Research Director Jeff Fieldhack.
“Face recognition is computationally extensive of course, if other vendors are to check out Apple’s lead, they’ll have to have similar onboard AI functions to permit a smooth individual experience,” he added.
Qualcomm is likely to unlock AI functions in its high to mid-tier SoCs next few months. Qualcomm can meet up with Apple and Huawei and it is likely to be second on the market in conditions of volume level by 2020, accompanied by Samsung and Huawei.
“With advanced SoC-level AI capacities, smartphones can perform a number of responsibilities such as processing natural languages, including real-time translation; supporting users take better photographs by intelligently determining objects and altering camera settings consequently,” described Counterpoint Research Director Peter Richardson. Machine learning can make smartphones understand end-user behaviour in an unprecedented manner.
Analysing user behaviour patterns, devices can make decisions and perform jobs that will certainly reduce physical interaction time taken between an individual and these devices. “Virtual assistants can be smarter by analysing and learning user behaviour, thereby uniquely serving each user according to their needs,” Mr Richardson added.
According to the research Analyst Shobhit Srivastava, there is growing the potential set of AI-capable devices to experience an integral role in healthcare. “Machine learning algorithms may be used to generate health insurance and lifestyle advice for users by analysing combos of sensor data and end-user behaviour,” said Mr Srivastava.
Source- The Hindu