Artificial Intelligence (AI) continues to disrupt a number of industries, including mobile communications. AI has become extremely useful for smartphones, as it has enhanced the user experience significantly.
By 2022 it is predicted that 1.25 billion smartphones will have AI processors. This is a huge jump from the 190 million that currently have AI chips. Several smartphones with AI features include voice-controlled assistants, facial recognition, and intelligent imaging.
The Google Pixel 3 XL is one smartphone currently on the market that features the latest Android 9 Pie OS whose navigation system is based on the user’s gestures.
It has AI-controlled brightness, home controls, a more efficient version of the Google Assistant, and a Google Duplex AI service that simulates a human being.
With more players joining the game, experts suggest that the compound annual growth rate of the mobile AI market is expected to be 28.65% within the next five to six years.
Companies spend billions each year on mobile advertising to understand their customers’ behaviors. However, companies invest in AI not just because of its efficiency – it’s also a very popular feature among customers.
HP’s discussion of using AI at work also reveals that nearly 65% of US millennials prefer using chatbots when they reach out to brands.
By targeting and matching individuals with similar interests and characteristics to create even more targeted campaigns, AI maximizes ad revenues, which, in turn, helps enhance marketing efforts.
With the number of significant benefits that come from using AI, phone manufacturers are constantly trying to outdo one another with their AI features, which often include:
Voice Processing In Digital Assistants
Smartphones now do the work that humans once did. Smart assistants like Siri, Amazon Alexa, Microsoft Cortana, and Google Assistant make our lives simpler by performing tasks through voice commands.
These virtual assistants can help with utilitarian tasks like looking up information, creating to-do lists, setting alarms, checking the weather, making appointments, sending messages, and dialing numbers.
However, now they have become more interactive and intelligent, as they can engage in two-way conversations. Driven by data, they learn to personalize their responses from previous queries.
Recent developments on the Samsung Bixby now include Bixby Vision which uses image recognition for landmarks, images, QR codes, and products for users to get more information on them in a matter of seconds.
As AI and machine learning algorithms have the ability to trace a user’s habits, preferences, and features, it could result in better profiling.
This includes facial recognition – a security measure to unlock phones, similar to the iPhone’s Face ID feature.
Stored data also becomes beneficial in preventing hacks, data breaches, and suspicious behavior.
These algorithms even include the ability to take better photos that adjust to the user’s face and can enhance features as well. AI algorithms even help with taking more detailed photos without the need to crop or edit later on.
A new System of Chip now includes a Neural Processing Unit (NPU) that supplies smartphones with super mobile abilities.
The use of AI chipsets avoids the data privacy and security risks that come with cloud-based services.
Instead, this upgrade brings about improved power management and enhanced data security as it can work with over a trillion operations every second.
Huawei recently unveiled their newest AI chipset called Ascend 910 that makes use of this particular technology.