While the standard R9 Nano was an impressive feat of engineering, since its release everyone has been wondering when they’d be able to get their hands on a version of the card in frosty white.
It still boasts the same specs as the reference R9 Nano, with 4GB of High-Bandwidth Memory using AMD’s new die stacking process, and a clock speed of up to 1000 MHz. As with the cut-down version of the Fury X, air cooling replaces the built-in radiator on the larger card. In our benchmarks, the R9 Nano didn’t quite match the performance of the Nvidia price competitor, the 980 Ti, but still offered up great performance, especially considering its size.
The custom-printed PCB on the Nano is already black, and since these are preliminary shots, it’s entirely possible the Winter White edition will eventually have a white PCB to match.
AMD wants to see the Nano find its way into new and unique builds and case mods, and offering it in another color is a great way to make sure that anyone who wants to find a home for one has the most options available. At $650, it’s still an expensive option, but there’s nothing in its size that even compares when it comes to performance.
No official word on when you’ll actually be able to get your hands on one of the clean white Nanos, but there should be more details available come November, according to Computer Base. Hopefully it will be ready in time for the holidays, a Nano would make a pretty great stocking stuffer.
After five years with Apple silicon, from the original M1 MacBook Air to the M5 MacBook Air released earlier this year, I've watched these chips mature not just on the spec sheet, but in real-world workflows and overall efficiency.
The new M6 chip might sound like a routine generational upgrade, but it's the company's first chip built on a 2nm manufacturing process, which brings meaningful improvements over previous Apple chips.
Gemini Notebook’s mobile app now has a built-in recorder for capturing lectures and meetings as sources. You can record directly where you’ll use the material, skipping the separate recording app and the file upload afterward.
Google announced the feature on X, highlighting classroom lectures and team meetings as potential uses. It also works for capturing your own thoughts, so you can talk through an idea and bring that explanation into your notebook while it’s still fresh.
In 1950, Alan Turing asked whether machines can think. Rather than argue over definitions, he turned the question into a party game, where an interrogator trades typed messages with hidden players and tries to work out who is who. Since then, chatbots have gotten so good that they have already fooled humans in modern versions of the test.
So, four researchers from Paris Cité University asked the obvious follow-up question in a new study published in Computers in Human Behavior Reports: can AI at least catch its own kind?