The Honor Magic 8 Lite fully earns its place in the GizChina Awards Best Mid-range Phones of 2025 because it delivers something genuinely rare in this segment: true peace of mind. Its massive 7,500mAh ...

POCO is getting ready to expand its budget lineup in India with the upcoming POCO M8 5G series, and new leaks have already revealed most of what to expect. According to tipster Paras Guglani, the ...

According to their internal data, calorie counting accuracy has jumped by 17%, and VO₂ max estimation—one of the hardest things for a wrist-worn sensor to nail—is up by 15%. Even sleep tracking, which ...

For years, satellite connectivity on smartphones has been the tech equivalent of a "break glass in case of emergency" hammer. You could send a text if you were lost in the woods, but that was about it ...

Foldable phones have gained popularity since Samsung and Huawei each unveiled one for the first time in 2019. Samsung introduced the Galaxy Fold on Feb. 20, and four days later, Huawei unveiled the ...

Samsung is finally cutting the cord. For years, the Galaxy lineup has played second fiddle to Qualcomm’s graphics prowess, even with the AMD-partnered "Xclipse" experiments. But the Exynos 2600, ...

The big news from the AnTuTu and Geekbench leaks isn't just the raw power—though a 2.6 million score is plenty impressive—it’s the fact that OnePlus managed to cram a 9,000mAh battery into a phone ...

The smartphone world is hitting a financial wall in 2026, and it is dragging a "dead" feature back to life. For years, the microSD card slot was treated like an old relic. Manufacturers removed it to ...

These budget phones from Samsung come with the same 5MP macro lens and a 12MP front camera. However, their difference comes in the ultra-wide-angle camera. While the Galaxy A57 comes with a 13MP ...

Xiaomi is unveiling the Xiaomi 17 Ultra in December 25 in China. That's a nice gift for Christmas when it comes to Xiaomi fans. Ahead of the release, the brand has been sharing a couple of teasers ...

The current AI workloads are incredibly demanding when it comes to memory. Training models and running large-scale inference systems require huge amounts of fast, high-capacity RAM. Right now, Data ...