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The focus of today’s Made by Google event isn’t the Pixel 7 or Pixel Watch, but rather the new Tensor G2 processor powering these devices. Google claims that machine learning on the Pixel 7 is now significantly faster and more efficient compared to its predecessor, the Pixel 6, thanks to the Tensor G2 chip. This chip also improves power consumption for features like video recordings and transcribing conversations.
Enhancements with Tensor G2
Most of the features showcased at the event are a result of the machine learning and AI capabilities of the Tensor G2. For instance, Google Assistant on the Pixel 7 is now more accurate and introduces new features like emoji suggestions in text messages based on conversations. The audio message transcription feature will now be available within the message app when sending audio files, and the phone can separate and label people by voice during conversations with multiple speakers.
Improved Camera Features
A notable upgrade on the Pixel 7 line is the advancements in computational photography, particularly the Super Res Zoom feature. The camera can capture detailed high-quality photos from a distance and maintain quality when zooming in. The denoiser feature clears up blurry photos, and the camera can fuse ultra-wide and main camera photos to create high-quality images. Additionally, Pixel 7 users can unblur photos taken with other cameras through Google Photos.
Equitability and Video Upgrades
Google also emphasizes equitability with the Tensor G2, improving skin tone rendering for photos and introducing Guided Frame for better selfies. Video features a cinematic blur effect for a movie-like depth of field, along with active video stabilization, autofocus, and speech enhancement.
Continued Growth with Tensor G2
Google introduced its Tensor chipset in 2021 with the Pixel 6, enabling flagship features like Magic Eraser. The Tensor G2 in the Pixel 7 is set to continue Google’s innovation in the smartphone market, akin to Apple’s A-series chips and M1 processors in their products.
Topics: Google, Smartwatches
