AI Chips Outburst May Force You to Upgrade Your Smartphone

It’s interesting how people are now interacting with artificial intelligence today. But you know what, there is what we call an AI chips outburst silently happening and this is expected to increase human interaction with artificial intelligence.

Sources claim that the number of Americans believed to own at least one AI-powered voice assistant has raised from 39 million to roughly 41 million.

Google, the biggest dependent of machine intelligence — offers services like search, language translation, and face recognition all enabled by AI. Now, 46.8% of the world’s population searches the internet daily, which means they also benefit from the AI technology in Google’s Search Engines (which dominates 74.54% of the WWW,) raising the level of human interaction with the artificial brain.

AI is Becoming a Major Component in Devises

Source: gawker

For quite sometimes, almost all voice assistants –Amazon’s Alexa, Apple’s HomePod and the rest have had to tap their AI power from servers or data centers. That is, they need a good connection to perform tasks. But, that is slowly changing—AI chips are becoming built-in components, in devices and they are likely to spread to PCs, Phones, Driverless Cars and health wearables.

Despite all efforts to build super performing processors, still, certain tasks linked to certain gaming interfaces or programs like Adobe have proved somewhat heavy on the current processor. The processor industry is working to change this with AI chips, which will speed up tasks across platforms, on phones, CCTV surveillance cameras, laptops and the upcoming intelligent cars that are expected to hit the consumer market before 2025.

Overview of an AI-Chip

AI may sound like an out of the world idea to some people but it’s not. In fact, AI has become a buzzword on the internet, with big companies like Samsung, LG, Apple and Google wanting to rebrand themselves with the new tech.

To be precise, AI-powered chips are an artificial replica of the biological brain. The system comprises of neural networks as the central brain and machine learning capabilities to help it grow in intelligence with data from the real world.

For instance, the chip in the device would in future help the phone to master your individual accent and learn to transcribe your speech into a message or text, identify suspicious emails (like how the antivirus software does) or will recognize a mosquito roaming around.

“Recently made high-end phones already possess an AI accelerator as a component,” including the Galaxy S9 (which is powered by Samsung’s Exynos 9810 processor,) and iPhone X (using the A11 chip,) said Linley Gwennap a technology analyst, during Linley Group’s processors conference. “However, things are changing and already we are starting to see these processors being incorporated into mid-level phones,” he added.

In that line, it is also ideally obvious that manufacturers will widen their scope to capture low-income earners with AI-powered lower-end phones.

How AI Chips Will Transform Things

Source: wired

In case you are using a voice assistant as your shopping assistant, you most likely understand how at times your home network becomes slow due to heavy traffic or applications like internet-enabled surveillance cams. “Instead of keeping you in wait, the assistant should be able to take that as its responsibility. To send the request as soon as the line is free, while the security camera system needs to understand on its own, that nothing is of importance in the scene thus, no need to upload the video, just a snap or short notice,” explained Gwennap.

Gwennap also predicts how PCs would run AI on their future processors without straining. Pointing to how systems struggle with heavy programs like Premiere Pro, and Photoshop – where Adobe Systems announced a new tech, Sense AI to help speed up photo editing and related tasks.

The AI explosion has already hit the driverless car industry. Mitsubishi is on record, developing special AI-powered eyes that would help mirrorless autonomous cars see obstacles with an 80% plus vision accuracy, within 100 meters away.

Other researchers — like affectiva, is making an AI tool that can interact with passengers emotionally, to improve their ride experience. If such technologies can exist inbuilt, in form of chips, and only connect to datacenters for updates, then the overall processing speed in devices will hike to unimaginable levels.