Name the last five winners of the Miss America pageant.
Name ten people who have won the Nobel or Pulitzer Prize.
Name the last half dozen Academy Award winners for best actor and actress.
Name the last decade’s worth of World Series winners.
How did you do?
The point is, none of us remember the headliners of yesterday.
These are no second-rate achievers.
They are the best in their fields.
But the applause dies.
Awards tarnish …
Achievements are forgotten.
Accolades and certificates are buried with their owners.
Here’s another quiz. See how you do on this one:
List a few teachers who aided your journey through school.
Name three friends who have helped you through a difficult time.
Name five people who have taught you something worthwhile.
Think of a few people who have made you feel appreciated and special.
Think of five people you enjoy spending time with.
“delve into an algorithm developed by Sean Feeley, a Senior Staff Environment Tech Artist that is part of the creative minds at Santa Monica Studio. This algorithm, originally designed to address edge inaccuracy on foliage, has the potential to revolutionize the way we approach texture optimization in the gaming industry. ”
The AI is being trained using a mix of Shutterstock 2D imagery and 3D models drawn from the TurboSquid marketplace. However, it’s only being trained on models that artists have approved for this use.
People cannot generate a model and then immediately sell it. However, a generated 3D model can be used as a starting point for further customization, which could then be sold on the TurboSquid marketplace. However, models created using our generative 3D tool—and their derivatives—can only be sold on the TurboSquid marketplace.
TurboSquid does not accept AI-generated content from our artists
As AI-powered tools become more accessible, it is important for us to address the impact AI has on our artist community as it relates to content made licensable on TurboSquid. TurboSquid, in line with its parent company Shutterstock, is taking an ethically responsible approach to AI on its platforms. We want to ensure that artists are properly compensated for their contributions to AI projects while supporting customers with the protections and coverage issued through the TurboSquid license.
In order to ensure that customers are protected, that intellectual property is not misused, and that artists’ are compensated for their work, TurboSquid will not accept content uploaded and sold on our marketplace that is generated by AI. Per our Publisher Agreement, artists must have proven IP ownership of all content that is submitted. AI-generated content is produced using machine learning models that are trained using many other creative assets. As a result, we cannot accept content generated by AI because its authorship cannot be attributed to an individual person, and we would be unable to ensure that all artists who were involved in the generation of that content are compensated.
Apple’s Immersive Videos format is a special container for 3D or “spatial” video. You can capture spatial video to this format either by using the Vision Pro as a head-mounted camera, or with an iPhone 15 Pro or 15 Pro Max. The headset offers better capture because its cameras are more optimized for 3D, resulting in higher resolution and improved depth effects.
While the iPhone wasn’t designed specifically as a 3D camera, it can use its primary and ultrawide cameras in landscape orientation simultaneously, allowing it to capture spatial video—as long as you hold it horizontally. Computational photography is used to compensate for the lens differences, and the output is two separate 1080p, 30fps videos that capture a 180-degree field of view.
These spatial videos are stored using the MV-HEVC (Multi-View High-Efficiency Video Coding) format, which uses H.265 compression to crunch this down to approximately 130MB per minute, including spatial audio. Unlike conventional stereoscopic formats—which combine the two views into a flattened video file that’s either side-by-side or top/bottom—these spatial videos are stored as discrete tracks within the file container.
Spatialify is an iOS app designed to view and convert various 3D formats. It also works well on Mac OS, as long as your Mac has an Apple Silicon CPU. And it supports MV-HEVC, so you’ll be all set. It’s just $4.99, a genuine bargain considering what it does. Find Spatialify here.
In color technology, color depth also known as bit depth, is either the number of bits used to indicate the color of a single pixel, OR the number of bits used for each color component of a single pixel.
When referring to a pixel, the concept can be defined as bits per pixel (bpp).
When referring to a color component, the concept can be defined as bits per component, bits per channel, bits per color (all three abbreviated bpc), and also bits per pixel component, bits per color channel or bits per sample (bps). Modern standards tend to use bits per component, but historical lower-depth systems used bits per pixel more often.
Color depth is only one aspect of color representation, expressing the precision with which the amount of each primary can be expressed; the other aspect is how broad a range of colors can be expressed (the gamut). The definition of both color precision and gamut is accomplished with a color encoding specification which assigns a digital code value to a location in a color space.
The intricate relationship between the eyes and the brain, often termed the eye-mind connection, reveals that vision is predominantly a cognitive process. This understanding has profound implications for fields such as design, where capturing and maintaining attention is paramount. This essay delves into the nuances of visual perception, the brain’s role in interpreting visual data, and how this knowledge can be applied to effective design strategies.
This cognitive aspect of vision is evident in phenomena such as optical illusions, where the brain interprets visual information in a way that contradicts physical reality. These illusions underscore that what we “see” is not merely a direct recording of the external world but a constructed experience shaped by cognitive processes.
Understanding the cognitive nature of vision is crucial for effective design. Designers must consider how the brain processes visual information to create compelling and engaging visuals. This involves several key principles:
