Technologies
Google Thinks AI Can Make You a Better Photographer: I Dive Into the Pixel 10 Cameras
The camera specs for the Pixel 10 series reveal only a small part of what’s new for mobile photographers. I spoke with the head of the Pixel camera team to learn more.
If a company releases new phone models but doesn’t change the cameras, would anyone pay attention? Fortunately that’s not the case with Google’s new Pixel 10, Pixel 10 Pro and Pixel 10 Pro Fold phones, which make a few advancements in the hardware — hello, telephoto camera on the base-level Pixel for the first time — and also in the software that runs it all, with generative AI playing an even bigger role than it has before.
«This is the first year where not only are we able to achieve some image quality superlatives,» Isaac Reynolds, group product manager for the Pixel cameras, told CNET, «but we’re actually able to make you a better photographer, because generative AI and large models can do things and understand levels of context that no technology before could achieve.»
Modern smartphone cameras must be more than glass and sensors, because they have to compensate for the physical limitations of those same glass and sensors. You can’t expect a tiny phone camera to perform as well as a large glass lens on a traditional camera, and yet the photos coming out of the Pixel 10 models surpass their optical abilities. In a call that covered a lot of photographic ground, Reynolds shared with me details about new features as well as issues of how we can trust images when AI — in Google’s own tools, even — is so prevalent.
Pro Res Zoom adds generative AI to reach 100x
The new Pro Res Zoom feature is likely to get the most attention because it strives for something exceptionally difficult in smartphones: long-range zoom that isn’t a fuzzy mess of pixels.
You see this all the time: Someone on their phone spreads two fingers against the screen to make a distant object larger in the frame. Photographers die a little each time that happens because, by not sticking to the main zoom levels — 1x, 2x, 5x and so on — the person is relying on digital zoom; the camera app is making pixels larger and then using software to try to clean up the result. Digital zoom is certainly better than it once was, but each time it’s used, the person sacrifices image quality for more zoom in the moment.
Google’s Super Res Zoom feature, introduced with the Pixel 3, interpolates and sharpens the image up to 30x zoom level on the Pixel 10 Pros (and up to 20x zoom on the Pixel 10 and Pixel 10 Pro Fold). The new Pro Res Zoom on the Pixel 10 Pro pushes way beyond that to 100x zoom — with a significant lift from AI.
Past 30x, Pro Res Zoom uses generative AI to refine and rebuild areas of the image based on the underlying pixels captured by the camera sensor. It’s similar to the technology that Magic Editor uses when you move an object to another area in the image, or type a prompt to add things that weren’t there in the first place. Only in this case, the Pixel Camera app creates a generative AI version of what you captured to give the image crisp lines and features. All the processing is performed on-device.
Reynolds explained that one of the factors driving the creation of Pro Res Zoom was the environments where people are taking photos. «They’re taking pictures in the same levels of low light — dinners did not get darker since we launched Night Sight,» he said. «But what is changing is how much people zoom, [and] because the tech is getting so much better, we took this opportunity to reset and refocus the program on incredible zoom quality.»
Pro Res Zoom works best on static scenes such as buildings, skylines, foliage and the like — things that don’t move. It won’t try to reconstruct faces or people, since generative AI can often make them stand out more as being artificially manipulated. The generated image is saved alongside the image captured by the camera sensor so you can choose which one looks best.
What about consistency and accuracy of the AI processing? Generative AI images are built out of pixel noise that is quickly refined based on the input driving them. Visual artifacts have often gone hand-in-six-fingered-hand with generated imagery.
But that’s a different kind of generative AI, says Reynolds. «When I think of Gen AI in this application, I think of something where the team has spent a couple of years getting it really tuned for exactly our use case, which is image enhancement, image to image.»
Initially, people inside Google were worried about artifacts, but the result is that «every image you see should be truly authentic to the real photo,» he said.
Auto Best Take
This new feature seems like a natural evolution — and by «natural,» I mean «processor speeds have improved enough to make it happen.» The Best Take feature was introduced with the Pixel 8, letting you capture several shots of a person or group of people, and have the phone merge them into one photo where everyone’s expressions look good. CNET’s Patrick Holland wrote in his review of the Pixel 8, «It’s the start of a path where our photography can be even more curated and polished, even if the photos we take don’t start out that way.»
That path has led to Auto Best Take, which does it automatically — and not just grabbing a handful of images to work with. Says Reynolds, «[It] can analyze… I think we’re up to 150 individual frames within just a few seconds, and pick the right five or six that are most likely to yield you the perfect photo. And then it runs Best Take.»
From the photographer’s point of view, the phone is doing all the work, though, as with Pro Res Zoom, you can also view the handful of shots that went into the final merged image if you’re not happy with the result. The shots are full-resolution and fully processed as if you’d snapped them individually.
«What’s interesting about this is you might actually find in your testing that Auto Best Take doesn’t trigger very often, and there’s a very particular reason for that,» said Reynolds. «Once the camera gets to look at 150 items, it’s probably going to find one where everybody was looking at the camera, because if there’s even one, it’ll pick it up.»
Improved Portrait mode and Real Tone
Another improvement enabled by the Pixel 10 Pro’s Tensor G5 processor is a new high-resolution Portrait mode. To take advantage of the wide camera’s 50-megapixel resolution, Reynolds said the Pixel team rebuilt the Portrait mode model so it creates a higher quality soft-background depth effect, particularly around a subject’s hair.
Real Tone, the technology for more accurately representing skin tones, is also incrementally better. As Reynolds explained, Real Tone has progressed from establishing color balances for people versus the other areas of a frame to individual color balances for each person in the image.
«That’s not just going to mean better consistency shot to shot, it means better consistency scene to scene,» he said, «because your color, your [skin] tone, won’t depend so strongly on the other things that happened in the image.»
He also mentioned that a core component of Real Tone has been the ability to scale up image quality testing methods and data collection in the process of bringing the feature’s algorithms to market.
«What standards are we setting for diversity and equity, inclusion across the entire feature set?» he said. «Real Tone is primarily a mission and a process.»
Instant View feature in the Pixel 10 Fold
One other significant photo hardware improvement has nothing to do with the cameras. On the Pixel 10 Pro Fold, the Pixel Camera app takes advantage of the large internal screen by showing the previous photo you captured on the left side of the display. Instead of straining to see details in a tiny thumbnail in the corner of the app, Instant View gives a full-size shot, which is especially helpful when you’re taking multiple photos of a person or subject.
Camera Coach
So far, these new Pixel 10 camera features are incorporated into the moment you capture a photo, but Reynolds also wants to use the phones’ cameras to encourage people to become better photographers. Camera Coach is an assistant that you can invoke when you’re stuck or looking for new ideas while photographing a scene.
It can look at the picture you’re trying to take and help you improve it using suggestions such as getting closer to a subject for better framing or moving the camera lower for a more dramatic angle. When you tap a Get Inspired button, the Pixel Camera app looks at the scene and makes suggestions.
«Whether you’re a beginner and you just need step-by-step instructions to learn how to do it,» said Reynolds, «or you’re someone like me who needs a little more push on the creativity when sometimes I’m busy or stressed, it helps me think creatively.»
CP2A content credentials
All of this AI being worked into the photographic process, from Pro Res Zoom to Auto Best Take, invariably brings up the unresolved question of whether the images we’re creating are genuine. And in a world that is now awash in AI-generated images that look real enough, people are naturally guarded about the provenance of digital images.
For Google, one answer is to label everything. Each image captured by the Pixel 10 cameras or touches Google Photos is tagged with C2PA Content Credentials (Coalition for Content Provenance and Authenticity), even if it’s untouched by AI. It’s the first smartphone with C2PA built in.
«We really wanted to make a big difference in transparency and credibility and teaching people what to expect from AI,» said Reynolds. «The reason we are so committed to saving this metadata in every Pixel camera picture is so people can start to be suspicious of pictures without any information.»
Marking images that have no AI editing is meant to instill trust in them. «The image with an AI label is less malicious than an image without one,» said Reynolds. «When you send a picture of someone, they can look at the C2PA in that picture. So we’re trying to build this whole network that customers can start to expect to have this information about where a photo came from.»
What’s new in the Pixel 10 camera hardware
Scanning the specs of the Pixel 10 cameras, listed below, you’d rightly notice that they match those found on last year’s Pixel 9 models, but a couple of details stand out.
For one, having a dedicated telephoto camera is no longer one of the features that separates the entry-level Pixel from the pro models. The Pixel 10 now has its own 10.8 megapixel, f/3.1 telephoto camera with optical image stabilization that offers a 5x optical zoom and up to 20x Super Res Zoom.
It’s not as good as the 48-megapixel f/2.8 telephoto camera used in the Pixel 10 Pro and Pixel 10 Pro XL (the same one used in the Pixel 9 Pros), but that’s not the point. You don’t need to give up extra zoom just to buy a more affordable phone.
Another difference you’ll encounter, particularly when recording video, is improved image stabilization. The optical image stabilization is upgraded in all three phones, but the stabilization in the Pixel 10 Pros is significantly improved. Although the sensor and lens share the same specs as the Pixel 9 Pro, the wide-angle camera in the Pixel 10 Pro models necessitated a new design to accommodate new OIS components inside the module enclosure. Google says it doubled the range of motion so the lens physically moves through a wider arc to compensate for motion. Alongside that, the stabilization software has been tuned to make it smoother.
Camera Specs for the Pixel 10 Lineup
| Pixel 10 | Pixel 10 Pro | Pixel 10 Pro XL | Pixel 10 Pro Fold | |
| Wide Camera | 48MP Quad PD, f/1.7, 1/2″ image sensor | 50MP Octa PD, f/1.68, 1/1.3″ image sensor | 50MP Octa PD, f/1.68, 1/1.3″ image sensor | 48MP Quad PD, f/1.7, 1/2″ image sensor |
| Ultra-wide Camera | 13MP Quad PD, f/2.2, 1/3.1″ image sensor | 48MP Quad PD with autofocus, f/1.7, 1/2.55″ image sensor | 48MP Quad PD with autofocus, f/1.7, 1/2.55″ image sensor | 10.5MP Dual PD with autofocus, f/2.2, 1/3.4″ image sensor |
| Telephoto Camera | 10.8MP Dual PD with optical image stabilization, f/3.1, 1/3.2″ sensor size, 5x optical zoom | 48MP Quad PD with optical image stabilization, f/2.8, 1/2.55″ image sensor, 5x optical zoom | 48MP Quad PD with optical image stabilization, f/2.8, 1/2.55″ image sensor, 5x optical zoom | 10.8MP Dual PD with optical image stabilization, f/3.1, 1/3.2″ sensor size, 5x optical zoom |
| Front camera | 10.5MP Dual PD with autofocus, f/2.2 | 42MP Dual PD with autofocus, f/2.2 | 42MP Dual PD with autofocus, f/2.2 | 10MP Dual PD, f/2.2 |
| Inner camera | n/a | n/a | n/a | 10MP Dual PD, f/2.2 |
Technologies
Google races to put Gemini at the center of Android before Apple’s AI reboot
Google is using its latest Android rollout to position Gemini as the AI layer across phones, Chrome, laptops and cars.
Google is using its latest Android rollout to make Gemini less of a chatbot and more of an operating layer across the phone, browser, car and laptop, just weeks before Apple is expected to show its own Gemini-powered Apple Intelligence reboot at WWDC.
Ahead of its Google I/O developer conference next week, the company previewed a number of Android updates, including AI-powered app automation, a smarter version of Chrome on Android, new tools for creators, a redesigned Android Auto experience, and a sweeping set of new security features.
Alphabet is counting on Gemini to help Google compete directly with OpenAI and Anthropic in the market for artificial intelligence models and services, while also serving as the AI backbone across its expansive portfolio of products, including Android. Meanwhile, Gemini is powering part of Apple’s new AI strategy, giving Google a role in the iPhone maker’s reset even as it races to prove its own version of personal AI on the phone is further along.
Sameer Samat, who oversees Google’s Android ecosystem, told CNBC that Google is rebuilding parts of Android around Gemini Intelligence to help users complete everyday tasks more easily.
“We’re transitioning from an operating system to an intelligence system,” he said.
As part of Tuesday’s announcements. Google said Gemini Intelligence will be able to move across apps, understand what’s on the screen and complete tasks that would normally require a user to jump between multiple services. That means Android is moving beyond the traditional assistant model, where users ask a question and get an answer, and acting more like an agent.
For instance, Google says Gemini can pull relevant information from Gmail, build shopping carts and book reservations. Samat gave the example of asking Gemini to look at the guest list for a barbecue, build a menu, add ingredients to an Instacart list and return for approval before checkout.
A big concern surrounding agentic AI involves software taking action on a user’s behalf without permissions. Samat said Gemini will come back to the user before completing a transaction, adding, “the human is always in the loop.”
Four months after announcing its Gemini deal with Google, Apple is under pressure to show a more capable version of Apple Intelligence, which has been a relative laggard on the market. Apple has long framed privacy, hardware integration and control of the user experience as its advantages.
Google’s Android push is designed to show it can bring AI deeper into the device experience while still giving users control over what Gemini can see, where it can act and when it needs confirmation.
The app automation features will roll out in waves, starting with the latest Samsung Galaxy and Google Pixel phones this summer, before expanding across more Android devices, including watches, cars, glasses and laptops later this year.
The company is also redesigning Android Auto around Gemini, turning the car into another major surface for its assistant. Android Auto is in more than 250 million cars, and Google says the new release includes its biggest maps update in a decade and Gemini-powered help with tasks like ordering dinner while driving.
Alphabet’s AI strategy has been embraced by Wall Street, which has pushed the company’s stock price up more than 140% in the past year, compared to Apple’s roughly 40% gain. Investors now want to see how Gemini can become more central to the products people use every day.
WATCH: Alphabet briefly tops Nvidia after report of $200 billion Anthropic cloud deal
Technologies
Waymo recalls 3,800 robotaxis after glitch allowed some vehicles to ‘drive into standing water’
Waymo issued a voluntary recall of about 3,800 of its robotaxis to fix software issues that could allow them to drive into flooded roadways.
Waymo is recalling about 3,800 robotaxis in the U.S. to fix software issues that could allow them to “drive onto a flooded roadway,” according to a letter on the National Highway Traffic Safety Administration’s website.
The voluntary recall is for Waymo vehicles that use the company’s fifth and sixth generation automated driving systems (or ADS), the U.S. auto safety regulator said in the letter posted Tuesday.
Waymo autonomous vehicles in Austin, Texas, were seen on camera driving onto a flooded street and stalling, requiring other drivers to navigate around them. It’s the latest example of a safety-related issue for the Alphabet-owned AV unit that’s rapidly bolstering its fleet of vehicles and entering new U.S. markets.
Waymo has drawn criticism for its vehicles failing to yield to school buses in Austin, and for the performance of its vehicles during widespread power outages in San Francisco in December, when robotaxis halted in traffic, causing gridlock.
The company said in a statement on Tuesday that it’s “identified an area of improvement regarding untraversable flooded lanes specific to higher-speed roadways,” and opted to file a “voluntary software recall” with the NHTSA.
“Waymo provides over half a million trips every week in some of the most challenging driving environments across the U.S., and safety is our primary priority,” the company said.
Waymo added that it’s working on “additional software safeguards” and has put “mitigations” in place, limiting where its robotaxis operate during extreme weather, so that they avoid “areas where flash flooding might occur” in periods of intense rain.
WATCH: Waymo launches new autonomous system in Chinese-made vehicle
Technologies
Qualcomm tumbles 13% as semiconductor stocks retreat from historic AI-fueled surge
Semiconductor equities reversed sharply after a broad AI-driven advance, with Qualcomm suffering its worst day since 2020 amid inflation concerns and rising oil prices.
Semiconductor stocks fell sharply on Tuesday, reversing course after an extensive rally that had expanded the artificial intelligence investment theme well past Nvidia and driven the industry to unprecedented levels.
Qualcomm plunged 13% and was on track for its steepest single-day decline since 2020. Intel shed 8%, while On Semiconductor and Skyworks Solutions each lost more than 6%. The iShares Semiconductor ETF, which benchmarks the overall sector, fell 5%.
The sell-off came after a key gauge of consumer prices came in above forecasts, and as conflict in Iran pushed crude oil higher—prompting investors to shift away from riskier assets.
The preceding advance had widened the AI opportunity set beyond longtime industry leader Nvidia, which for much of the past several years had largely carried the market to new peaks on its own.
Explosive appetite for central processing units, along with the graphics processing units that power large language models, has sent chipmakers to all-time highs.
Market participants are wagering that the shift from AI model training to autonomous agents will lift demand for additional AI hardware. Among the beneficiaries are memory chip producers, which are raising prices as supply remains tight.
Micron Technology slid 6%, and Sandisk cratered 8%. Sandisk’s stock has surged more than six times over since January.
-
Technologies3 года agoTech Companies Need to Be Held Accountable for Security, Experts Say
-
Technologies3 года agoBest Handheld Game Console in 2023
-
Technologies5 лет agoBlack Friday 2021: The best deals on TVs, headphones, kitchenware, and more
-
Technologies3 года agoTighten Up Your VR Game With the Best Head Straps for Quest 2
-
Technologies5 лет agoGoogle to require vaccinations as Silicon Valley rethinks return-to-office policies
-
Technologies5 лет agoVerum, Wickr and Threema: next generation secured messengers
-
Technologies4 года agoThe number of Сrypto Bank customers increased by 10% in five days
-
Technologies5 лет agoOlivia Harlan Dekker for Verum Messenger
