A visual language is a system of communication using visual elements. Speech as a means of communication cannot strictly be separated from the whole of human communicative activity which includes the visual and the term 'language' in relation to vision is an extension of its use to describe the perception, comprehension and production of visible signs.
Visual Variables
Visual variables are “the differences in map elements as perceived by the human eye” (wiki.gis.com). No matter what the type of map, these are the fundamental ways in which graphic symbols can be distinguished.
Understanding the Limits of Vision Language Models Through the Lens of the Binding Problem
Recent work has documented striking heterogeneity in the performance of state-of-the-art vision language models (VLMs), including both multimodal language models and text-to-image models. These models are able to describe and generate a diverse array of complex, naturalistic images, yet they exhibit surprising failures on basic multi-object reasoning tasks -- such as counting, localization, and simple forms of visual analogy -- that humans perform with near perfect accuracy. To better understand this puzzling pattern of successes and failures, we turn to theoretical accounts of the binding problem in cognitive science and neuroscience, a fundamental problem that arises when a shared set of representational resources must be used to represent distinct entities (e.g., to represent multiple objects in an image), necessitating the use of serial processing to avoid interference. We find that many of the puzzling failures of state-of-the-art VLMs can be explained as arising due to the binding problem, and that these failure modes are strikingly similar to the limitations exhibited by rapid, feedforward processing in the human brain.
Sound & Vision
Explore the future of type with the Re:Vision 2025 typographic playground—an interactive showcase of emerging type trends. Dive in and shape the next wave of visual language.
The Future of Text
We are a community dedicated to working on how we can better develop text to augment our capabilities and we invite you to join us. We believe that the potential of richly interactive text to truly augment how we think & communicate is massive. Text after all, is externalized symbols we can interact with to extend our mind’s reach. Therefore text is not just a medium, it is also a tool for thought, and we are looking Beyond Visual Range.
The Rise and Fall of Visual Basic
After 28 years, are we are finally seeing the beginning of the end for one of the world’s most popular languages?
We Have Always Been Action TheoristsToward a Critical Theory of Language for the Era of “Large Language Models”
Scholars of literature and culture understandably place themselves among the world’s premiere experts on matters of language. But they also know that fields like linguistics and communication have their own ways of studying how people express themselves through speech and written media. A key difference concerns the theories and methodologies...
A foundation model of vision, audition, and language for in-silico neuroscience | Research - AI at Meta
Cognitive neuroscience is fragmented into specialized models, each tailored to specific experimental paradigms, hence preventing a unified model of...
kshitijgetsac/Comparative-Analysis-of-Vision-Language-Connectors
Trying to study the effect of different connectors , (linear, MLP and Cross Attention) to analyze what paradigms do LLM'S use or make a best guess
On Software, or the Persistence of Visual Knowledge
Wendy Hui Kyong Chun; On Software, or the Persistence of Visual Knowledge. Grey Room 2005; (18): 26–51. doi: https://doi.org/10.1162/1526381043320741
Formulaic language
Formulaic language (previously known as automatic speech or embolalia) is a linguistic term for verbal expressions that are fixed in form, often non-literal in meaning, with attitudinal nuances, and closely related to communicative-pragmatic context.[1]
Something Pretty Right: A History of Visual Basic | Retool
How Visual Basic became the world’s most dominant programming environment, its sudden fall from grace, and why its influence is still shaping the future of software development.
visualising data structures and algorithms through animation - VisuAlgo
VisuAlgo was conceptualised in 2011 by Associate Professor Steven Halim (NUS School of Computing) as a tool to help his students better understand data structures and algorithms, by allowing them to learn the basics on their own and at their own pace. Together with his students from the National University of Singapore, a series of visualizations were developed and consolidated, from simple sorting algorithms to complex graph data structures. Though specifically designed for the use of NUS students taking various data structure and algorithm classes (CS1010/equivalent, CS2040/equivalent (inclusive of IT5003)), CS3230, CS3233, and CS4234), as advocators of online learning, we hope that curious minds around the world will find these visualizations useful as well.
REKI: Registering Knowledge in VLAs
REKI, a 2.4B vision-language-action model pretrained on public data only, with a memory of its recent past at negligible cost.
Verbalizable Representations Form a Global Workspace in Language Models
If the mind is an ocean, we spend our lives floating at the surface. Beneath us, an enormous amount of processing takes place without our knowledge: our visual systems parsing the contours of a face, our motor circuits maintaining our posture. At any given moment, only a small fraction of this neural activity is accessible to us. Yet it is this privileged sliver of activity that we rely on to reason deliberately: to plan what ingredients to buy for a recipe, or to puzzle out why an engine won’t start. Such thoughts can be articulated out loud, deliberately held in mind, and brought to bear on whatever task the moment demands. This distinction, between our accessible thoughts and our unconscious processing, is perhaps the most striking feature of human cognition.
Verbalizable Representations Form a Global Workspace in Language Models
If the mind is an ocean, we spend our lives floating at the surface. Beneath us, an enormous amount of processing takes place without our knowledge: our visual systems parsing the contours of a face, our motor circuits maintaining our posture. At any given moment, only a small fraction of this neural activity is accessible to us. Yet it is this privileged sliver of activity that we rely on to reason deliberately: to plan what ingredients to buy for a recipe, or to puzzle out why an engine won’t start. Such thoughts can be articulated out loud, deliberately held in mind, and brought to bear on whatever task the moment demands. This distinction, between our accessible thoughts and our unconscious processing, is perhaps the most striking feature of human cognition.
The Politics of Design: A (Not So) Global Design Manual for Visual Communication
A (Not So) Global Design Manual for Visual Communication
