The most beautiful, physically accurate images will be constained in their quality by the color gamut of the display. It's almost a chicken and egg problem, will the computer and mobile device builders (IHDs) add better screen if the contrnt demands it or will the content developers (ISVs) demand there be better screens befroe they will invest in higher quality images. The breakthrough in that log-jam will come from the either pary (IHDs or ISVs) looking for differentiation and taking a chance. Engines like Siliconarts and Caustic will empower them to go forward.
FYI the company's chief strategy officer Hee-Jin Shin said the company's RayCore 1000 is now in verification with hopes of shipping in Sept. A second generation chip will support OpenGL ES 2.x and 3.x which seems like a requirement for use in a mainstream Android phone these days.
Shin said in a phone interview:
"I believe the initial traction may come from simulation systems like mitiary simulators where the quality of the graphics are really low today. This chip can add value in visual quality. There will also be some commercial markets like digital signage and industrial use. It's easier to start in the commercial space and then go to the consumer space."
What are the engineering and design challenges in creating successful IoT devices? These devices are usually small, resource-constrained electronics designed to sense, collect, send, and/or interpret data. Some of the devices need to be smart enough to act upon data in real time, 24/7. Are the design challenges the same as with embedded systems, but with a little developer- and IT-skills added in? What do engineers need to know? Rick Merritt talks with two experts about the tools and best options for designing IoT devices in 2016. Specifically the guests will discuss sensors, security, and lessons from IoT deployments.