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LATEST POSTS

  • What is deepfake GAN (Generative Adversarial Network) technology?

    pIXELsHAM.com
    Dec 30, 2024
    A.I.

    https://www.techtarget.com/whatis/definition/deepfake

    Deepfake technology is a type of artificial intelligence used to create convincing fake images, videos and audio recordings. The term describes both the technology and the resulting bogus content and is a portmanteau of deep learning and fake.

    Deepfakes often transform existing source content where one person is swapped for another. They also create entirely original content where someone is represented doing or saying something they didn’t do or say.

    Deepfakes aren’t edited or photoshopped videos or images. In fact, they’re created using specialized algorithms that blend existing and new footage. For example, subtle facial features of people in images are analyzed through machine learning (ML) to manipulate them within the context of other videos.

    Deepfakes uses two algorithms — a generator and a discriminator — to create and refine fake content. The generator builds a training data set based on the desired output, creating the initial fake digital content, while the discriminator analyzes how realistic or fake the initial version of the content is. This process is repeated, enabling the generator to improve at creating realistic content and the discriminator to become more skilled at spotting flaws for the generator to correct.

    The combination of the generator and discriminator algorithms creates a generative adversarial network.

    A GAN uses deep learning to recognize patterns in real images and then uses those patterns to create the fakes.

    When creating a deepfake photograph, a GAN system views photographs of the target from an array of angles to capture all the details and perspectives.
    When creating a deepfake video, the GAN views the video from various angles and analyzes behavior, movement and speech patterns.
    This information is then run through the discriminator multiple times to fine-tune the realism of the final image or video.

    Views : 42
  • The History, Evolution and Rise of AI

    pIXELsHAM.com
    Dec 30, 2024
    A.I.

    https://medium.com/@lmpo/a-brief-history-of-ai-with-deep-learning-26f7948bc87b

    🔹 1943: 𝗠𝗰𝗖𝘂𝗹𝗹𝗼𝗰𝗵 & 𝗣𝗶𝘁𝘁𝘀 create the first artificial neuron.
    🔹 1950: 𝗔𝗹𝗮𝗻 𝗧𝘂𝗿𝗶𝗻𝗴 introduces the Turing Test, forever changing the way we view intelligence.
    🔹 1956: 𝗝𝗼𝗵𝗻 𝗠𝗰𝗖𝗮𝗿𝘁𝗵𝘆 coins the term “Artificial Intelligence,” marking the official birth of the field.
    🔹 1957: 𝗙𝗿𝗮𝗻𝗸 𝗥𝗼𝘀𝗲𝗻𝗯𝗹𝗮𝘁𝘁 invents the Perceptron, one of the first neural networks.
    🔹 1959: 𝗕𝗲𝗿𝗻𝗮𝗿𝗱 𝗪𝗶𝗱𝗿𝗼𝘄 and 𝗧𝗲𝗱 𝗛𝗼𝗳𝗳 create ADALINE, a model that would shape neural networks.
    🔹 1969: 𝗠𝗶𝗻𝘀𝗸𝘆 & 𝗣𝗮𝗽𝗲𝗿𝘁 solve the XOR problem, but also mark the beginning of the “first AI winter.”
    🔹 1980: 𝗞𝘂𝗻𝗶𝗵𝗶𝗸𝗼 𝗙𝘂𝗸𝘂𝘀𝗵𝗶𝗺𝗮 introduces Neocognitron, laying the groundwork for deep learning.
    🔹 1986: 𝗚𝗲𝗼𝗳𝗳𝗿𝗲𝘆 𝗛𝗶𝗻𝘁𝗼𝗻 and 𝗗𝗮𝘃𝗶𝗱 𝗥𝘂𝗺𝗲𝗹𝗵𝗮𝗿𝘁 introduce backpropagation, making neural networks viable again.
    🔹 1989: 𝗝𝘂𝗱𝗲𝗮 𝗣𝗲𝗮𝗿𝗹 advances UAT (Understanding and Reasoning), building a foundation for AI’s logical abilities.
    🔹 1995: 𝗩𝗹𝗮𝗱𝗶𝗺𝗶𝗿 𝗩𝗮𝗽𝗻𝗶𝗸 and 𝗖𝗼𝗿𝗶𝗻𝗻𝗮 𝗖𝗼𝗿𝘁𝗲𝘀 develop Support Vector Machines (SVMs), a breakthrough in machine learning.
    🔹 1998: 𝗬𝗮𝗻𝗻 𝗟𝗲𝗖𝘂𝗻 popularizes Convolutional Neural Networks (CNNs), revolutionizing image recognition.
    🔹 2006: 𝗚𝗲𝗼𝗳𝗳𝗿𝗲𝘆 𝗛𝗶𝗻𝘁𝗼𝗻 and 𝗥𝘂𝘀𝗹𝗮𝗻 𝗦𝗮𝗹𝗮𝗸𝗵𝘂𝘁𝗱𝗶𝗻𝗼𝘃 introduce deep belief networks, reigniting interest in deep learning.
    🔹 2012: 𝗔𝗹𝗲𝘅 𝗞𝗿𝗶𝘇𝗵𝗲𝘃𝘀𝗸𝘆 and 𝗚𝗲𝗼𝗳𝗳𝗿𝗲𝘆 𝗛𝗶𝗻𝘁𝗼𝗻 launch AlexNet, sparking the modern AI revolution in deep learning.
    🔹 2014: 𝗜𝗮𝗻 𝗚𝗼𝗼𝗱𝗳𝗲𝗹𝗹𝗼𝘄 introduces Generative Adversarial Networks (GANs), opening new doors for AI creativity.
    🔹 2017: 𝗔𝘀𝗵𝗶𝘀𝗵 𝗩𝗮𝘀𝘄𝗮𝗻𝗶 and team introduce Transformers, redefining natural language processing (NLP).
    🔹 2020: OpenAI unveils GPT-3, setting a new standard for language models and AI’s capabilities.
    🔹 2022: OpenAI releases ChatGPT, democratizing conversational AI and bringing it to the masses.


    Views : 31
  • Eddie Yoon – There’s a big misconception about AI creative

    pIXELsHAM.com
    Dec 29, 2024
    A.I., Featured, ves

    You’re being tricked into believing that AI can produce Hollywood-level videos…

    We’re far from it.

    (more…)
    Views : 95
  • Mustafa GERMEC – Python tutorial by examples

    pIXELsHAM.com
    Dec 29, 2024
    python
    MustafaGermec-PythonTutorialDownload
    Views : 49
  • Giancarlo Volpe – Illustrations

    pIXELsHAM.com
    Dec 29, 2024
    design

    https://giancarlovolpe.tumblr.com

    Views : 34
  • Andreas Horn – Want cutting edge AI?

    pIXELsHAM.com
    Dec 29, 2024
    A.I.

    𝗧𝗵𝗲 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗯𝗹𝗼𝗰𝗸𝘀 𝗼𝗳 𝗔𝗜 𝗮𝗻𝗱 𝗲𝘀𝘀𝗲𝗻𝘁𝗶𝗮𝗹 𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗲𝘀:

    – Collect: Data from sensors, logs, and user input.
    – Move/Store: Build infrastructure, pipelines, and reliable data flow.
    – Explore/Transform: Clean, prep, and detect anomalies to make the data usable.
    – Aggregate/Label: Add analytics, metrics, and labels to create training data.
    – Learn/Optimize: Experiment, test, and train AI models.

    𝗧𝗵𝗲 𝗹𝗮𝘆𝗲𝗿𝘀 𝗼𝗳 𝗱𝗮𝘁𝗮 𝗮𝗻𝗱 𝗵𝗼𝘄 𝘁𝗵𝗲𝘆 𝗯𝗲𝗰𝗼𝗺𝗲 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁:

    – Instrumentation and logging: Sensors, logs, and external data capture the raw inputs.
    – Data flow and storage: Pipelines and infrastructure ensure smooth movement and reliable storage.
    – Exploration and transformation: Data is cleaned, prepped, and anomalies are detected.
    – Aggregation and labeling: Analytics, metrics, and labels create structured, usable datasets.
    – Experimenting/AI/ML: Models are trained and optimized using the prepared data.
    – AI insights and actions: Advanced AI generates predictions, insights, and decisions at the top.

    𝗪𝗵𝗼 𝗺𝗮𝗸𝗲𝘀 𝗶𝘁 𝗵𝗮𝗽𝗽𝗲𝗻 𝗮𝗻𝗱 𝗸𝗲𝘆 𝗿𝗼𝗹𝗲𝘀:

    – Data Infrastructure Engineers: Build the foundation — collect, move, and store data.
    – Data Engineers: Prep and transform the data into usable formats.
    – Data Analysts & Scientists: Aggregate, label, and generate insights.
    – Machine Learning Engineers: Optimize and deploy AI models.

    𝗧𝗵𝗲 𝗺𝗮𝗴𝗶𝗰 𝗼𝗳 𝗔𝗜 𝗶𝘀 𝗶𝗻 𝗵𝗼𝘄 𝘁𝗵𝗲𝘀𝗲 𝗹𝗮𝘆𝗲𝗿𝘀 𝗮𝗻𝗱 𝗿𝗼𝗹𝗲𝘀 𝘄𝗼𝗿𝗸 𝘁𝗼𝗴𝗲𝘁𝗵𝗲𝗿. 𝗧𝗵𝗲 𝘀𝘁𝗿𝗼𝗻𝗴𝗲𝗿 𝘆𝗼𝘂𝗿 𝗳𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻, 𝘁𝗵𝗲 𝘀𝗺𝗮𝗿𝘁𝗲𝗿 𝘆𝗼𝘂𝗿 𝗔𝗜.

    https://www.linkedin.com/posts/andreashorn1_%F0%9D%97%AA%F0%9D%97%AE%F0%9D%97%BB%F0%9D%98%81-%F0%9D%97%B0%F0%9D%98%82%F0%9D%98%81%F0%9D%98%81%F0%9D%97%B6%F0%9D%97%BB%F0%9D%97%B4-%F0%9D%97%B2%F0%9D%97%B1%F0%9D%97%B4%F0%9D%97%B2-%F0%9D%97%94%F0%9D%97%9C-%F0%9D%97%A7-activity-7276861752477184000-KvUy

    Views : 33
  • Federico Sibella – Luminance Simplified, a Quick Theory Overview

    pIXELsHAM.com
    Dec 29, 2024
    colour, lighting

    Views : 30
  • ImgSys.org – Ranking AI models arena leaderboard

    pIXELsHAM.com
    Dec 28, 2024
    A.I.

    https://imgsys.org

    Views : 57
  • ComfyUI – Beginner guide to upscaling, inpainting, SDLX workflow, Impack Pack, embeddings, LoRA,

    pIXELsHAM.com
    Dec 28, 2024
    A.I.

    https://stable-diffusion-art.com/comfyui/

    Views : 64
  • Obsidian.md – free, local, private and flexible writing app using the Zettelkasten method

    pIXELsHAM.com
    Dec 26, 2024
    production, software

    https://obsidian.md

    Views : 48
  • Respond, Don’t react – The secret to not taking things personally

    pIXELsHAM.com
    Dec 26, 2024
    quotes
    Views : 137
  • Kling 1.6 and competitors – advanced tests and comparisons

    pIXELsHAM.com
    Dec 26, 2024
    A.I., Featured

    https://klingai.com

    Views : 537
  • How do LLMs like ChatGPT (Generative Pre-Trained Transformer) work? Explained by Deep-Fake Ryan Gosling

    pIXELsHAM.com
    Dec 26, 2024
    A.I., Featured








    (more…)
    Views : 163
  • Generate ENTIRE 3D SETS For Your Projects using depth and edge maps – FREE Blender + Leonardo + ComfyUI + SDXL/FLUX

    pIXELsHAM.com
    Dec 25, 2024
    A.I.

    Views : 35
  • Google AI can WATCH & teach you 3D Software

    pIXELsHAM.com
    Dec 25, 2024
    software

    Views : 32
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FEATURED POSTS

  • Sir Roger Deakins Breaks Down His Most Iconic Films | GQ

    pIXELsHAM.com
    Jul 9, 2023
    composition, photography, production

    Views : 254
  • AI images to meshes / Stable diffusion & Blender Tutorial

    pIXELsHAM.com
    Jul 31, 2023
    A.I., blender, photogrammetry, software

    Views : 398
  • Bruce Lindbloom – Color conversion math

    pIXELsHAM.com
    Apr 6, 2013
    colour, photography, reference

    http://brucelindbloom.com/

    Views : 1,687
  • Photography basics: Solid Angle measures

    pIXELsHAM.com
    Aug 1, 2020
    Featured, lighting, photography

    http://www.calculator.org/property.aspx?name=solid+angle

     

     

    A measure of how large the object appears to an observer looking from that point. Thus. A measure for objects in the sky. Useful to retuen the size of the sun and moon… and in perspective, how much of their contribution to lighting. Solid angle can be represented in ‘angular diameter’ as well.

    http://en.wikipedia.org/wiki/Solid_angle

     

    http://www.mathsisfun.com/geometry/steradian.html

     

    A solid angle is expressed in a dimensionless unit called a steradian (symbol: sr). By default in terms of the total celestial sphere and before atmospheric’s scattering, the Sun and the Moon subtend fractional areas of 0.000546% (Sun) and 0.000531% (Moon).

     

    http://en.wikipedia.org/wiki/Solid_angle#Sun_and_Moon

     

    On earth the sun is likely closer to 0.00011 solid angle after athmospheric scattering. The sun as perceived from earth has a diameter of 0.53 degrees. This is about 0.000064 solid angle.

    http://www.numericana.com/answer/angles.htm

     

    The mean angular diameter of the full moon is 2q = 0.52° (it varies with time around that average, by about 0.009°). This translates into a solid angle of 0.0000647 sr, which means that the whole night sky covers a solid angle roughly one hundred thousand times greater than the full moon.

     

    More info

     

    http://lcogt.net/spacebook/using-angles-describe-positions-and-apparent-sizes-objects

    http://amazing-space.stsci.edu/glossary/def.php.s=topic_astronomy

     

    Angular Size

    The apparent size of an object as seen by an observer; expressed in units of degrees (of arc), arc minutes, or arc seconds. The moon, as viewed from the Earth, has an angular diameter of one-half a degree.

     

    The angle covered by the diameter of the full moon is about 31 arcmin or 1/2°, so astronomers would say the Moon’s angular diameter is 31 arcmin, or the Moon subtends an angle of 31 arcmin.

    Views : 3,445
  • Steven Stahlberg – Perception and Composition

    pIXELsHAM.com
    Nov 5, 2017
    composition, Featured, photography

    http://www.androidblues.com/visualperception.html

    Views : 1,125
  • coloring 3d prints 2

    pIXELsHAM.com
    Aug 13, 2017
    3Dprinting, colour

    https://ultimaker.com/en/blog/82-painting-3d-printed-models

    Views : 1,021
  • Holographic showcase featuring the Mark VII Collectible Figurine

    pIXELsHAM.com
    Apr 10, 2013
    design

    Views : 971
  • How Lighting Ratios Change Moods in Filmmaking

    pIXELsHAM.com
    Aug 1, 2020
    colour, lighting, photography, production

    Views : 808
Views : 9,449

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