Introducing PowerVR Series9XEP, Series9XMP, and Series9XTP As Benjamin Franklin once said, only three things in life are certain: death, taxes and the ongoing rapid advancement
Data compression is a fundamental technology tool. It enables us to make efficient use of limited resources and without it, many things that we take
After a period out of the spotlight, ray tracing technology has recently come back into focus, taking up a lot of column inches in the
Amazon, the internet shopping giant, announced earlier this week the latest version of its media streaming device, the Fire TV Stick 4K. First released in
If you were watching the World Cup earlier this year and for some reason weren’t gripped by what you were seeing you may have noticed
At GDC 2018 earlier this year, we launched our latest technical graphics demo focusing on our PowerVR Series8XE range of GPUs. From the beginning of
The PowerVR Developer Technology team is delighted to announce the latest version of our PowerVR Tools and SDK – 2018 Release 1. Following on from
If you’ve been paying attention to Imagination’s recent demos you may have seen that a certain gnome has made a regular appearance on our booth.
If you’re developing for Unity on mobile, this is a blog post you can’t afford to miss! Recently we gave you some PowerVR performance tips for
Some of our PowerVR Developer Technology team are living it up in San Francisco this week at the Game Developer Conference 2018 on our Imagination
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Here’s an early Christmas present for graphics developers – the release of the latest version of our PowerVR Tools and SDK! The headline features for this release include some exciting new examples demonstrating new techniques in our SDK, and some very
Imagination’s PVRIC4 image compression tech garnered plenty of attention at the recent ICCAD China 2018 symposium, which took place on 29th and 30th November at the Zhuhai International Convention & Exhibition Centre, China. The annual event focusses on integrated circuit
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Simon Forrest explains how embedded chips can meet the challenge of delivering true local AI processing. GPUs and NNAs are rapidly becoming essential elements for AI on the edge. As companies begin to harness the potential of using neural networks
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