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We Tested Night Mode on the iPhone 14 Pro, Pixel 7 Pro and Galaxy S22 Ultra

We compared the best flagship models from Apple, Google and Samsung in a nighttime photo shoot field test.

We’ve been really impressed by the cameras on the Pixel 7 Pro, iPhone 14 Pro and Galaxy S22 Ultra. The Pixel 7 Pro’s zoom skills even gave the Galaxy S22 Ultra a run for its money, as well as offering some genuine competition to a professional DSLR. But how do these top phones perform when things go dark?

All three phones pack impressive nighttime shooting modes, which let you capture bright and clear shots even in almost total darkness. I’ve done some night mode testing on the phones already as part of the main Pixel 7 Pro review, but I wanted to spend a bit more side-by-side time with all three phones to see which one truly takes the best-looking images at night.

So I charged them up, put on my winter coat and headed out into the cold and dark streets of the Edinburgh suburb of Leith, Scotland. All images were taken in JPEG format, with the main cameras (unless otherwise stated) and using the dedicated night modes on both the Pixel 7 Pro and Galaxy S22 Ultra. The iPhone 14 Pro‘s mode kicks in automatically, so I simply made sure it was active when taking photos.

This first test above isn’t a great start for the Pixel 7 Pro. Its shot is darker than its rivals, with quite grungy details on the boat itself.

Zooming in to 100% on the same shots above, it’s clear that both the iPhone 14 Pro and Galaxy S22 Ultra achieved crisper, more balanced images. Between the two, the S22 Ultra did a better job at capturing more natural color tones and its shot wasn’t affected by reflected lights in its lens — something much more noticeable in the iPhone’s shot.

The Pixel 7 Pro did a much better job in the river scene above, with an excellent exposure across the whole image and tons of details visible on buildings in the distance. All three phones captured the scene well, with sharp details and minimal image noise. The iPhone’s image is a bit more contrasty, which I don’t dislike, but it makes the shot look a touch darker as a result.

One thing to note on the Pixel’s shot however is the noticeable lens flare from the streetlight on the left side of the image. While all three phones suffer from flare to an extent, it’s noticeably worse on the Pixel’s image, which is something I’d found on my initial tests for the review. Some shots I took had flares so prominent they ruined the image, and it’s something that you’ll need to keep in mind with bright light sources.

All three phones captured the old pub front above well, with excellent exposures across the board. I’m impressed at how they’ve all captured lots of detail in the shadowy areas of the images, yet managed to balance the bright highlights in the window and on the carvings well.

As with the earlier image of the boat, the iPhone 14 Pro’s shot leans toward a yellow-tinged white balance, which doesn’t look quite as realistic as the Galaxy S22 Ultra’s shot. The Pixel went a little far the other way, with a more magenta-toned image.

Zooming in to 100% on the same images and things switch around. It’s very marginal, but the Pixel 7 Pro achieved a slightly sharper image than its rivals, with the iPhone following close behind and the S22 Ultra bringing up the rear. I have to pixel peep at this point though, and even then the difference is almost negligible. At full screen, all three images are pin-sharp and look great.

The scene above works to summarize the approach the three phones take. The iPhone’s image has a more yellowy white balance which isn’t particularly realistic. The Pixel 7 Pro’s shot is a little darker and more magenta-toned, while the S22 Ultra’s shot seems to strike a better balance between the two with excellent exposure and more even colors.

But what about when we use the zoom lenses on these phones? Well, starting off with the standard cameras, all three phones have managed to capture solid images above.

Both the iPhone and Pixel offer 2x zoom modes (digitally cropping) and there’s not a huge amount to choose between them in the photos above. The digital crop has noticeably reduced the quality on photos from both phones and while the iPhone’s is a touch sharper, the Pixel’s has slightly better dynamic range, with some of the highlights being less blown out.

At 3x optical zoom on the iPhone 14 Pro and Galaxy S22 Ultra (the Pixel 7 Pro has a 5x zoom, which I’ll come to), the iPhone’s shot above is noticeably better than its 2x digital zoom shot, with improved details and dynamic range. And although its shot looks a little darker than the S22 Ultra’s, it has sharper, more defined details and a more even dynamic range which results in a better image overall.

Zooming right in to 150%, it’s clear that the iPhone’s dynamic range is better (look at the bright clock face in the upper left of the scene) and the details are much sharper.

The Pixel 7 Pro and Galaxy S22 Ultra can take their zooms further though, with 5x and 10x optical zooms being offered, respectively. The S22’s image above is obviously a lot more zoomed in, yet it maintains details and exposure. The Pixel’s looks solid too, with good colors and clarity. Given the big difference in zoom levels, there’s little point in deciding which one is better here.

Which phone takes the best night mode photos?

Overall I’m impressed at how well all three phones have done in these tests. Despite the dark conditions, I got images that are bright, colorful and packed with details, which is amazing to see given that I just took the shots hand-held, without a tripod — which I would need if I were taking the same shot on my professional camera. There’s not a huge gulf between any of them and any photographer would be pleased with the results they’re able to get in night time conditions.

That said, I’d have to give the overall win to the Samsung Galaxy S22 Ultra. Its shots were consistently bright and clear, and crucially produced more natural color tones than the iPhone 14 Pro or Pixel 7 Pro managed to achieve. The iPhone sometimes produced slightly sharper images, but that’s only noticeable when you zoom right into a pixel-level view, which most of us are unlikely to do. For pure, straight-out-of-camera images that are ready to upload to Instagram, the S22 Ultra slightly edges out its rivals.

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

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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

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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.

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