HTC is bringing 3D Touch-like Features to the Next Nexus Model
Many improvements have been made surrounding display technologies ranging from basic resolution issues up to the process that allows colour reproduction to improve and panel lamination being nearer to the glass.
Many improvements have been made surrounding display technologies ranging from basic resolution issues up to the process that allows colour reproduction to improve and panel lamination being nearer to the glass. Xiaomi and Samsung are working on screens that are curved at the edges – known as “2.5D.”
Apple has decided that they will use the technology found in their watches for the iPhone 6 and call it the 3D Touch. Here, the Z-axis will seemingly be a part of the UX and it is an idea that Chinese manufacturers are looking at with interest and working on themselves.
READ ALSO: Why Samsung’s Victory Against Apple is a Victory For Innovation
An insider has claimed that Vivo, OPPO, HTC, Meizu and Xiaomi are in the process of bringing panels sensitive to pressure to the fore. ZTE and Huawei are already items in use, so it seems that Force Touch type screens may be in wider use than at first thought.
Google is now working on a system that will be universally used, and it will prevent the reliance on a single form of technology. HTC are believed to be in the process of developing a Nexus phone and for this are working towards producing a similar display, and it would seem strange that there would be such distinctive hardware and no software to support it. It is accepted that APIs supporting Android would allow developers and manufacturers to use a standard platform.
Although there has not yet been widespread use, further availability via Androids large circulation will allow developers the chance to check out all of the capabilities.
Photos: HUAWEI Mate S
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Daniel Okafor
Daniel Okafor is the Senior AI Reporter at TrendinTech, where he covers large language models, machine learning research and the practical use of artificial intelligence across business and government. He previously reported on artificial intelligence for MIT Technology Review, covering the labs behind the current generation of frontier models and the policy debates in Washington and Brussels. Daniel holds a Master of Science in Machine Learning from Carnegie Mellon University and follows the research community closely, attending NeurIPS and ICML each year to speak with the people behind the papers. He has a particular interest in evaluation: how models are benchmarked, where those benchmarks fail and what that means for the companies betting on them.
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