Google showcases its flexible use of edge AI capabilities through Pixel 8.

At the "Made by Google" event held by Google, they showcased their latest smartphone products, Pixel 8 and Pixel 8 Pro. Despite many tech enthusiasts believing that the new phones are almost identical to the previous generation, they do come with some impressive new features such as a temperature sensor, an upgraded 48-megapixel camera, and the most innovative "On-device generative AI." These phones are powered by the Tensor G3 chip, which is a slightly improved version of the Exynos 4nm chip developed by Samsung. The G3 chip will drive new edge AI technology, which is said to completely change the way we use smartphones. On-device generative AI will revolutionize the game. Unlike traditional generative AI, edge AI utilizes existing low-level models (LLM) in the device to generate context. On-device generative AI will have access to user data such as patterns in photos, restaurant searches, driving, and text messaging, and generate customized solutions that are more helpful than the general answers provided by cloud-based generative AI like ChatGPT. Furthermore, another innovation of this product is that it can operate completely offline. It has all the necessary data within the phone itself. This will also reduce latency issues as it does not require a connection to servers. Many companies utilize generative AI to enhance productivity, creativity, and save time. Google previously announced AI features for YouTube and continuously updates Bard to establish its presence in the chatbot market. Now, Google is focusing on Pixel. Google's Pixel 8 will be the first phone capable of running on-device generative AI models. The G3 Tensor chip is specifically built for this functionality and is designed to accelerate AI workloads. According to Rick Osterloh, Google's Senior Vice President of Devices and Services, it can run "lean" versions of text and image generative AI models. Osterloh stated at the event, "We've been working closely with Google's research teams, taking state-of-the-art base models and slimming them down to run efficiently on our flagship Pixel." The LLM running on Pixel 8 will provide smart reply functionality for Google's keyboard. This feature analyzes how users typically respond to messages using the available data on the device. With generative AI, Google's "Magic Eraser" can generate new pixels to fill gaps left by removed objects in images. It also improves its zooming capabilities, with AI intelligently enhancing image details. Now, users can utilize the power of generative AI to summarize audio recordings and highlight important content. The Tensor G3 chip enables this new phone to run twice as much machine learning on the device. Google stated in a release that the LLM on Pixel 8 is 10 times more complex than the LLM on Pixel 6. When it comes to investments in generative AI, the iPhone manufacturer remains relatively silent. Unlike Microsoft and Google, who often boast about their advancements in AI, Apple has kept their foray into this field quiet. Apple has integrated a "Neural Engine" into its new iPhones and Apple Watch, which processes machine learning tasks at twice the speed. Reuters reports that the Neural Engine is a chip building module used by Apple to accelerate AI capabilities. Additionally, Apple has quietly been developing an internal chatbot called "Ajax" to assist employees in telephone prototype design. According to a Bloomberg report, they are also working on a technology called Apple GPT. Apple is known for applying AI technology to various applications such as cameras, iMessage, and Siri. Companies like Google, Microsoft, and Apple are moving towards adopting generative AI to stay ahead and fully leverage its significant features. These IT giants understand that missing out on the AI trend could cause serious harm to their businesses.