Shadowplay can now capture games at 120 fps and gets a new look in the Nvidia App-

Shadowplay is now able to capture games in 120 fps, as a part of a wider redesign within the new Nvidia App, which launches in beta today.

Usually accessed via Nvidia’s GeForce Experience software, Shadowplay is moving to the new and improved Nvidia App. The overlay we’re used to seeing when we hit Alt + Z has been replaced in the new app by a tab that appears on the left-hand side of the screen—a cleaner look for the trusty capture software.

All the same functionality remains in the Nvidia App for Shadowplay: highlights, instant replays, and bog-standard recording, and all still using Nvidia’s own GPU-based, low-overhead encoding and capturing software to minimise the impact on your PC’s performance. Though the big change is you can now capture in 30 fps, 60 fps, or 120 fps at any resolution up to 4K. At 8K, you’re limited to 60 fps, but that’s probably the least of your worries trying to game and capture 8K all at once.

It’s a good idea to crank up the bit rate for smooth and high quality recordings, however. That will mean using up more storage space. You can always set a limit on how much storage space Shadowplay is allowed to gobble up via the settin…

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AI is embedded in Intel’s chipmaking process from ‘front end silicon design, back end, software development, all the way to manufacturing’-

AI has its uses. While it’s tempting to think of AI in terms of chatbots, image -generators and perhaps the thing that might end us all if we’re not careful, major tech companies have been busy implementing AI and machine learning optimisation into multiple aspects of their business, in a quest to integrate what used to be a fringe concept into the processes that create the products you may already own.

I recently had the chance to chat to Intel India President and VP & Head of Client Computing Group Sustainability, Gokul Subramaniam, in a wide ranging discussion about Intel’s sustainability goals, product life cycles and more. 

I took the opportunity to ask how Intel uses AI and machine learning models in regards to efficiency within its products, and whether AI was used to optimise the process.

“We have AI in engineering as a big focus area, starting from the front end of our silicon design at the RTL level, to the back end, which is basically post powering on the silicon leading it all the way to production readiness. And then in our software development and debug, we use AI as well as in our manufacturing use, and to test how we use AI.

“We a…

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