Black-and-white vertical flyer combining QR code matrix, textual information, and contact details. Upper portion dominated by square QR code blocks arranged symmetrically at top corners and central band, framing a crossed-pencil emblem at midpoint. Immediately below appears contact line “@alexboya” and email “info@alexboya.com
” in compact sans-serif font.

Main body of flyer contains descriptive paragraph in serif typeface, centered and fully justified. Text introduces TheMill.World as a multidisciplinary creative initiative encompassing graphic novel, animation series, and collaborative art community. Content emphasizes integration of world-building with participatory storytelling featuring contributions from more than 100 guest artists. Narrative premise described situates project in speculative near-future environment: “Chapter 1 explores a reverse-zombie pandemic caused by an agrochemical company’s synthetic bread turning people into nonviolent walking bread that are chased by the hungry living due to global warming-induced food scarcity.” Final lines describe initiative as social experiment structured in “three-phase immersive journey through sci-fi multiverses.”

Stylistic features emphasize clarity and compact information delivery. Use of black-and-white contrast ensures legibility across varying media reproduction. QR codes function as scannable gateways linking digital audience to extended resources. Overall layout balances technological scannability with textual explanation of creative concept, situating flyer as hybrid between promotional print artifact and digital-access portal.

Digital rendering showing juxtaposition of semiconductor components and food object, emphasizing contrast of technological scale and organic reference. Foreground features human fingertip enlarged in frame, surface lightly textured with ridges, used as support platform for integrated circuit packages of varying dimensions. Two microchips rest on fingertip: one square package with metallic contacts around perimeter, and a smaller dark chip labeled with numeric code. Below fingertip, additional chips arranged on flat surface include rectangular package with visible identification markings “0204085K 040C 3EF35F.A,” larger square package with dotted contact frame, and elongated gold-toned strip resembling sensor or memory module.

In background, slice of brown bread with visible porous crumb texture is positioned upright on small round plate, forming unexpected contrast to precision electronics. Bread slice shows even crust and spongy interior structure, representing domestic and biological materiality opposite manufactured silicon. Lighting is bright and diffuse, accentuating micro-scale details of both chip surface etching and bread crumb irregularity.

Composition operates as conceptual visual pun combining digital technology and foodstuff, placing emphasis on human scale (fingertip as reference), industrial miniaturization (semiconductor fabrication), and everyday nourishment (bread slice). The spatial arrangement situates chips in immediate tactile proximity while isolating bread in background, emphasizing duality of organic sustenance and technological infrastructure.

Rectangular sheet of printed academic paper displays preformatted header identifying course title, code, and professor attribution, positioned above a boxed region containing handwritten annotations. Printed section includes the phrase "Student Notes" and instructions directing handwritten entry exclusively within designated boundaries. The central region is densely filled with cursive script and block-letter writing produced with multiple ink colors including black, blue, red, and purple. Highlighting and underlining in pink and violet demarcate categorical divisions, topical headings, or emphasized key phrases. Structural organization proceeds horizontally across ruled lines, but numerous segments are encased in rectangular enclosures formed by hand-drawn frames, creating modular separation of conceptual units. Some passages are marked with directional arrows, linking related concepts across discontinuous zones of the page. Marginal notes extend close to the document boundaries, demonstrating maximal utilization of available surface area.

Upper sections of handwriting reference moral philosophy and applied ethics frameworks concerning human consumption practices, invoking terminology such as "singer," "utilitarianism," and "speciesism." Midsection integrates opposing perspectives and counterarguments, distinguishing between deontological and consequentialist approaches, while additional annotations connect abstract theory to practical dietary contexts. Lower portion presents reformulated statements, condensed definitions, and evaluative summaries of philosophical texts. Recurrent terms are underlined or highlighted for rapid retrieval during study. The page demonstrates layering of annotation through successive sessions, visible in overlapping inks of varying saturation and thickness. Pen pressure differences generate irregular stroke density across lines.

The page edges reveal creasing, small stains, and incidental marks, indicating repeated handling. Background surface consists of heterogeneous textures and stacked paper layers, suggesting placement on a cluttered work environment. A human hand secures the lower left margin of the sheet, maintaining position while photograph is captured, providing anthropometric reference scale. Lighting originates from above, producing shadows across indentations in the writing surface, accentuating relief created by pen pressure. Overall, the sheet functions as a composite artifact combining printed academic template, handwritten annotation system, and color-coded emphasis strategy, demonstrating methods of intensive notetaking, information compartmentalization, and multi-pass textual engagement within a humanities education context.

Image captures six individuals standing in a line within an office conference room environment. Background includes a flat-panel digital display mounted on wall, currently active and presenting abstract graphic interface with curved blue and purple design elements along with QR code in upper left corner. Foreground contains large black circular conference table with multiple mesh-backed chairs positioned around perimeter. On table surface are scattered objects including manila folder, loose sheets of paper, pen, and partially visible tote bag.

Ceiling features suspended circular light fixture, producing diffuse illumination and casting soft highlights on surrounding surfaces. A cylindrical concrete column is positioned at right, partially dividing the frame. Room exhibits contemporary design with minimal ornamentation, dominated by clean architectural lines, neutral color palette, and integrated lighting features.

Individuals are dressed in casual to business-casual attire, most wearing dark monochromatic garments while one wears a light blue button-up. Identification badges on lanyards are visible on two participants, suggesting institutional or corporate affiliation. Group members stand close together, centered beneath digital screen, and face forward toward camera, establishing direct record of collective presence. Their positioning creates symmetrical balance within composition, framed between concrete column and far wall.

The photograph functions as documentary record of workplace or institutional meeting scenario, combining architectural detail, digital display interface, and group portraiture in a single contextualized image.

Image depicts vertically oriented promotional graphic combining QR code blocks, contact information, and descriptive text. Four QR codes are arranged symmetrically in the upper half of composition, occupying left and right corners. Centered between codes is crossed-bread emblem, functioning as minimal iconographic logo. Below logo, contact handle “@alexboya_” and email address “info@alexboya.com
” are provided in serif typeface.

Lower portion consists of block text in justified alignment, outlining conceptual framework for TheMill.World. Content identifies the project as an “innovative creative platform” integrating graphic novel, animation series, and community-based art collaboration. Emphasis is placed on large-scale participation, citing involvement of more than 100 guest artists. Narrative premise situates Chapter 1 in near-future city, where “reverse-zombie pandemic” emerges from agrochemical corporation’s synthetic bread, transforming individuals into animate bread entities. Unlike traditional zombie figures, these bread beings are nonviolent but relentlessly pursued by living humans experiencing hunger intensified by climate-induced food scarcity.

Text further describes the work as immersive social experiment structured in three phases, emphasizing transmedia approach spanning speculative storytelling, science-fiction world-building, and audience engagement across multiple platforms. Typography is consistent throughout, presented in black serif font against white background for clarity and legibility.

The design merges utilitarian QR technology with narrative description, functioning as both scannable entry point and self-contained informational artifact. The integration of iconography, contact metadata, and descriptive storytelling encapsulates promotional and conceptual aims of the project.

Photograph depicts arrangement of postal envelopes and printed books placed on rectangular upholstered stool or ottoman with grey textile surface. At top of stack are three copies of Walking Bread, each with red cover featuring illustrated anthropomorphic bread figures wearing helmets and oxygen masks. Title is printed in large black uppercase type across upper portion of each cover.

Below books lies group of envelopes of varied sizes. Prominent large manila envelope at bottom left is addressed in handwritten black marker to “Alex Boya, NFB Balmoral, 1501 De Bleury St.” Smaller white envelope with printed address label rests atop it, partially covering handwritten text. Additional envelope with visible postage label marked “$3.57” sits to right. Another large padded mailer is visible beneath, extending to lower right of composition.

All envelopes appear stacked in organized manner, oriented horizontally and overlapping slightly. Postage indicia and barcodes indicate standard postal distribution, while some envelopes display handling notations such as “Please Do Not Bend.”

Foreground includes partial view of sneaker-clad foot at lower right corner, situating photographer’s perspective above the arrangement. Background flooring consists of tightly woven carpet or textile with linear texture, consistent with office or institutional setting.

Overall composition documents intersection of published material (Walking Bread books) with correspondence and postal packaging, emphasizing both creative distribution and logistical circulation within professional context.

Photograph captures computer screen displaying Google Colaboratory (Colab) environment, specifically open notebook titled GFPGAN_inference.ipynb. Interface is divided into left sidebar file explorer and right main coding output area.

In left pane, folder hierarchy is shown. Root directory contains folder labeled “GFPGAN” and subfolder “samples.” Cursor hovers over “GFPGAN,” with tooltip label confirming selection. Sidebar includes navigation controls for file management, typical of Colab’s hosted environment linked to Google Drive.

Main pane on right displays execution logs from active cell. Terminal-style output shows download progress of image file “10047_00.png” from external URL. Processing status indicates tiled inference, with four tiles sequentially processed (Tile 1/4 through Tile 4/4). Log confirms that results are saved in “results” folder with filename “10047_00.png.”

Section header “4. Visualize” is visible beneath output, marking transition to visualization phase of workflow. Notebook toolbar at top provides controls for code, text, runtime, and tools, along with options to save or copy to Google Drive. Status message “Cannot save changes” appears at upper center, possibly due to limited editing permissions or temporary runtime mode.

Browser tabs are visible along top margin, including “stop motion for kids,” “curriculum development,” and “artificial intelligence.” Current active tab shows Colab URL referencing notebook execution session.

Overall, screenshot documents machine learning workflow within Colab environment, specifically applying GFPGAN (Generative Facial Prior-Generative Adversarial Network) for image restoration. The interface demonstrates file structure, execution process, and system outputs characteristic of deep-learning notebook pipelines.

Screenshot captures Visual Studio Code (VS Code) editor environment in dark theme. Central pane shows Python script containing imports, function definitions, and loop structures. Syntax highlighting is applied: keywords in purple, variables in white, strings in orange, and functions in blue-green.

Script begins with imports: import numpy as np, import tensorflow as tf, along with supporting libraries. Code defines function create_dataset which loads and normalizes data, shuffles, batches, and returns prepared dataset. Function employs TensorFlow dataset API (tf.data.Dataset.from_tensor_slices) and pipeline transformations such as shuffle, batch, and prefetch.

Subsequent section defines neural network model using Keras Sequential API. Layers include Dense layers with ReLU activations and final output layer with softmax activation. Optimizer is Adam, loss function is categorical crossentropy, and metrics include accuracy. Model is compiled and prepared for training.

Training loop uses .fit() method, specifying dataset, number of epochs, and validation data. Log outputs such as loss and accuracy are set to display per epoch.

Lower portion of script contains evaluation and prediction routines, including call to model.evaluate on test dataset and model.predict on new data samples. Code includes conditional if __name__ == "__main__": block, standard in Python scripts for main execution.

VS Code interface displays file path in tab labeled deep_learning_model.py. Explorer panel on left reveals workspace directory structure with src, data, and config folders. Top bar shows open command palette with options for Python interpreter selection.

Overall, screenshot demonstrates workflow of deep learning implementation in Python using TensorFlow, organized within modular script inside modern IDE environment.

This illustration presents a cartoon-like visage reduced to its most economical elements, stretched across the rectangular frame as if the head itself were a canvas. The forehead dominates the composition, occupying nearly all available space and transforming into a surreal blank expanse. From this field emerges a highly stylized facial schema: two thickened horizontal marks serve as darkened eyes, above which a single vertical line branches into a forked glyph reminiscent of horns, antennae, or astrological notation. Below, a small oval represents the mouth, suspended in an expression of surprise or exclamation.

Ears curl at the far edges, disproportionately small and almost ornamental, anchoring the broadness of the face. The result is a striking tension between extreme simplicity and encoded symbolism, suggesting both a childlike doodle and a cryptic anatomical diagram. The sparse composition emphasizes the face as a site of projection, with viewers invited to decode meaning from its near-abstract features.

This image resonates strongly with the broader body of work where faces are continuously reconfigured, distorted, or reimagined as hybrid sign-systems — whether through bread textures, turbine mechanics, or schematic abstraction. In this context, the cartoon functions as a foundational icon: a proto-face stripped down to symbolic essentials, oscillating between humor, innocence, and unsettling reduction.

The photograph presents a frontal portrait of an individual in a thick, textured sweater, standing against a muted background. The focus is drawn to the subtle but deliberate mark inscribed on the subject’s forehead: a symbol that frames the person not only as a figure but also as a site of inquiry. This act transforms the otherwise conventional portrait into a layered document, blending anthropological observation, artistic gesture, and performative experimentation.

The thick, cable-knit sweater evokes warmth, craft, and domestic intimacy, contrasting sharply with the symbolic intrusion on the face. This duality suggests an interplay between private identity and externalized conceptual frameworks. The mark functions as both code and interruption: it assigns meaning, introduces narrative, and situates the subject within a larger system of research and mythology.

Portraits of this nature operate beyond personal likeness. They serve as tools for indexing symbolic systems within artistic practice. In this case, the forehead becomes a canvas upon which semiotic operations unfold, questioning the boundaries between selfhood, authorship, and collective archetypes. The neutral gaze of the subject heightens the tension: is the individual complicit, aware of the inscription’s significance, or merely a vessel for broader ideas to be projected upon?

From the perspective of Genomic Animation and cognitive research frameworks, this image could be understood as a data point—an attempt to visualize how human presence can embody both biological individuality and cultural encoding. The symbol inscribed on the forehead bridges personal subjectivity with universal systems of meaning, recalling ancient practices of ritual marking, divination, or initiation.

The muted, warm lighting situates the portrait within the register of intimacy and sincerity, while the conceptual intervention destabilizes that familiarity, reminding the viewer that what appears simple may in fact be charged with layered interpretive complexity.