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The British Carriage Dog Society National 2011
The 9th Fenix National Carriage Dog trial was held on saturday 9th July 2011 at Lincomb Farm, Lincomb, Stourport-on-Severn - by kind permission of Tony and Rebecca Symonds- Sponsored by 'Fenix' manufacturers of Driving Carriages and 'Burns' and 'Dorwest' manufactures and suppliers of Dog and Horse feeds.
The purpose of Carriage Dog Trials is to demonstrate the use of Dalmatians in one of the roles they have been bred through the years to perform: that of a companion, decoration and guard for horses and carriages in past times.
It is both an endurance and obedience event. All dogs carry out a basic obedience test alongside their handler' horse or carriage. The aim of the obedience test is to replicate modern horse and carriage working environments, where the dog must be under the handler's control at all times. The endurance element scores each Dalmatian's stamina and capacity for work.
It is essential that the dog shows willingness and enjoyment of its work throughout the trial.
So the trials comprises an Obedience and an Endurance test for the Dog, and include vet checks in all classes.
For more information on Carriage dogs and the British Carriage Dog Society go to: www.carriagedog.org
If we limit UX/UI to only blatantly creating task-based digital 2D interfaces and products, then yes, AI can replace it. If we think UX/UI is also about how you make people feel while using your product (digital/non-digital), then AI can never replace it.
As we mentioned before, AI needs to be controlled and processed by humans; it can’t work independently and needs proper human input to generate the desired output. You must remember design can never be replaced by AI, design functions, on the other hand, can be. Because AI only gives you the power to build design quickly, what about the design sense? That should be your own!
Without design sense, how could you become confident about the aesthetic feel of your creations? AI can’t take over your design thoughts and creativity, which is the building block of the UX design process.
So rest assured because jobs that require creative, logical and analytical thinking will remain in the future, but AI will take those which require none of these.
Summing up, designers use lateral thinking, among other methods of design concept development. Whereas AI is pattern based. As a UX designer, you must own the exposure and experiences that make you unique and which is hard to replicate.
www.linkedin.com/pulse/evolving-impact-ai-ux-ui-design-op...
Here's a collection of photos I took near my hometown. Although I used my Z6II camera body, the images were captured using color filters mounted on some old Zuiko lenses. Some people argue that it's not necessary to use color filters with digital sensors and that you can simply replicate the effect in post-processing. However, I prefer the hands-on approach, similar to classic film photography.
Photographic techniques capture electromagnetic wavelengths beyond human vision, revealing features invisible to the naked eye. These signals are processed into interpretable forms using methods like color mapping.
Pink lacks a specific electromagnetic wavelength, while grey poses a limitation due to its representation of only intensity—a blend of light and dark without spectral specificity. Imaging techniques reliant on spectral variation produce identical results for greyscale images unless non-visible data is present. Deviations from this uniformity may indicate errors, misinterpretations, or unknown phenomena.
Contention persists over analytical debates, including dismissible claims like Van Allen belt dangers and contested evidence of lunar mirrors. The precision of laser reflections targeting a moving 3x3-foot marker on the Moon highlights technical skill but often fails to resolve skepticism. For instance, a 0.1° shift moves a laser spot 670 km across the Moon's surface.
Forensic analysis (2022, 2023) of Apollo 11–17 photographs assessed authenticity claims. Images of humans in space, Earth, and the Moon's distant views were validated, but Moon landing visuals showed variations, suggesting diverse techniques may have replicated certain elements.
PEMi (Photoelectromagnetic Image) software enhances forensic analysis by differentiating natural and artificial light sources, revealing hidden features. Each PEMi-ID links to original sources, ensuring traceability and comparison.
Further exploration is available:
Lehti, A. (2024). The Silence of Inquiry: Forensic Reflections Reveal a Crisis of Perception. figshare. doi.org/10.6084/m9.figshare.28078982
Credits
2022-2025 © Andrew Lehti
1961–2023 © NASA, ESA
Software: PEMi (GitHub: andylehti/PEMi.git)
Explore PEM-I: pemimage.streamlit.app
CC BY-SA 4.0 License: creativecommons.org/licenses/by-sa/4.0/
Research:
Lehti, Andrew (2024). Cognitive Psychology and the Education System. figshare. Collection. doi.org/10.6084/m9.figshare.c.7532079
CC BY-SA 4.0
This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License. To view a copy of this license, visit creativecommons.org/licenses/by-sa/4.0/ or send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA.
this is one of my favorite photoshop products. my goal in photoshop has never been to make things look "cooler" by adding a bunch of stupid effects to them. i've always tried to make any work i do in PS besides color and curve adjustments to look as realistic as possible.
I took this photo to replicate the many beach photos done by Lough, including “Blue Lagoon” featured above. I enhanced the blues, purples and greens in the water and the yellows in the rock and seaweed so that I could replicate Lough’s brightly colored water in his photos and the bold yellow color in the rock. I also liked how he uses different point of views for his shots, especially for “Blue Lagoon”, so I tried to also do that here by shooting down the side of a cliff along the run of the wave.
“Models are not replications of reality. They are simplifications, and thus, are imperfect,” said Hansen during one of four lectures during his visit to France. His argument for confronting that reality was to accept that there is little we can know with certainty, but much we can understand about uncertainty itself. "Let's push uncertainty to the forefront of economic analysis."
The 2013 Nobel laureate—famed for teaching economists that they could "learn something without knowing everything" via his General Method of Moments—traveled to Paris in May 2015 to speak to alumni at the University Chicago Paris Center.