Artificial intelligence will not be democratized through computers, televisions, smart speakers, or set-top boxes, but through smartphones — affordable ones. That’s the bold pronouncement Gartner made in January in a report predicting that 80 percent of smartphones will have on-device AI capabilities by 2022.
“With smartphones increasingly becoming a commodity device, vendors are looking for ways to differentiate their products,” wrote CK Lu, research director at the firm.
There’s ample evidence to support Gartner‘s claim.
This week, Qualcomm unveiled the Snapdragon 670, a middle-of-the-road system-on-chip (SoC) intended for budget and mid-tier devices. Notably, it packs the chipmaker’s AI Engine, a machine learning platform previously relegated to the company‘s high-end product lineups, and follows hot on the heels of the Snapdragon 710 — a slightly higher-tiered chip with comparable AI features — and the Snapdragon 632, 439, and 429.
“By using premium technologies typically found in higher-tier processors, the platform is optimized to bring flagship features to more people,” Qualcomm said in a statement. “It’s a win for everyone — from OEMs to users — and it opens the doors for further innovation that benefits the mobile industry.”
Qualcomm isn’t the only chipmaker bringing its AI innovations to low-cost silicon. In February, MediaTek launched the Helio P60, a smartphone SoC that ships with the Taipei firm’s NeuroPilot AI software and hardware suite.
The trend is being fueled, in part, by a strong budget phone sector. It’s expected to drive double-digit smartphone market growth in the next few months, according to IDC.
“Traditionally, you would expect a new technology like machine learning … to appear in super smartphones, premium smartphones, first, and then slowly trickle down over four or five years,” Jem Davies, general manager of the machine learning group at semiconductor design company Arm Holdings, told Gearburn in February. “That’s actually not what we’re seeing here. What we’re seeing is that China, for example, is looking at rolling out machine learning capabilities, even in entry-level phones.”
And from an ecosystem perspective, it’s a virtuous cycle: As AI-capable hardware trickles down to handsets, companies like Google move the AI needle forward with software, which in turn drives innovation on the chip side of the equation.
On Monday, Google announced Android Pie, the latest version of its mobile operating system, which leverages machine learning to (among other things) improve smartphone battery life and usability. Android Pie’s Adaptive Battery feature prevents infrequently used apps from running background processes, App Actions surfaces useful shortcuts based on context, and Adaptive Brightness automatically dims the screen to save power.
Pie, like Android Oreo before it, will ship alongside Android (Go edition), a stripped-down distribution of Android designed for handsets with 1GB or less of RAM. Google earlier this year introduced a version of the Google Assistant — Google Assistant Go — to the platform, and while it lacks a few of the standard Assistant app’s features, it can answer questions, launch apps, and customize settings just as well as the Assistant on high-end phones like the recently announced Samsung Galaxy Note9.
It’s impressive in its own right and provides a small glimpse into the experience that future affordable, AI-capable smartphones will deliver. The early verdict? There won’t be much in the way of compromise.
“Future AI capabilities will allow smartphones to learn, plan, and solve problems for users,” Lu wrote. “This isn’t just about making the smartphone smarter, but augmenting people by reducing their cognitive load.”
Thanks for reading,
AI Staff Writer
P.S. Enjoy this video of Samsung’s enhanced Bixby digital assistant on the Galaxy Note 9.
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