CDFAM - Computational Design Symposium

https://lnkd.in/ei6-prJ2 One minute promo video to share what CDFAM is all about.

???????? ???? ?????????? ?? ???????? ?????????????????? ?????????????????????????? ???????????? ?????????????????? ?????????? is committed to showcasing a wide range of voices in computational design—but we need your help. Like much of the design and engineering industry, our event currently reflects a heavy male bias. We want to change that. To truly represent the talent and innovation in this field, we’re calling on you to: Submit Your Work: Share your expertise by presenting at CDFAM. Nominate a Speaker: Highlight voices that deserve recognition. Spread the Word: Share this call with your networks to amplify diverse perspectives. Let’s work together to create an event—and a community—that reflects the richness of computational design. ?? Submit Your Abstract ?? Nominate a Speaker https://lnkd.in/g7StUeXz ?? Questions? Email us at [email protected] #ComputationalDesign #CDFAM #Inclusion #DiversityInTech

Print small. Bake to scale. EPU Pro materials incorporate foaming agents, resulting in parts that expand during cure to achieve beautiful resolution and novel haptics. Learn more about EPU Pro. ?? https://lnkd.in/gv3w8f58

I just added 29 instructional videos to the?Essential Algorithms and Data Structures to help teach/learn algorithmic design in Grasshopper. Please find the announcement and links below.

???Celebrating 12 Years of Computational Design journal we put together with renowned names of the field! Twelve years ago, I was tasked with editing Dosya 29: Computational Design. This special issue brought together some of the brightest minds in the field to explore how computation shapes and transforms design theory and practice. >> ?? >> The articles and references in this journal remain gems for anyone looking to dive deeper into computational design. This journal wasn’t just about showcasing computational tools—it was a deep dive into the theory and epistemology underpinning design itself. It posed questions that remain profoundly relevant today, especially in light of the growing influence of AI: ? Key Questions We Asked - How do design and computation create meaningful synergy? - What opportunities arise when we critically reflect on computational limitations? - How might computational frameworks expand design thinking? ?? A Stellar Lineup of Contributors I’m honored to have collaborated with these remarkable individuals: George Stiny: On the act of seeing in design and why computation struggles with its fluidity. Sebnem Yalinay: On the etymological roots of computation and its translation into design processes. Daniel Rosenberg (with Humberto Maturana): On human experience as the source of novelty in design. Theodora Vardouli On the metaphors shaping our early understanding of computation in design. Asli Arpak On the Design Methods Movement and debates about computation in design rationalization. Stylianos Dritsas On computation’s impact and the shift from product-focused to process-oriented design. Axel Kilian On redefining computational exploration beyond conventional tools. Alexandros Tsamis On VSpace and perceiving space as gradients rather than boundaries. Emre Erkal On thereminspace and linking force fields to design creativity. Carl Lostritto On rethinking drawing in the digital age. Kaustuv DeBiswas On Sunglass, a platform fostering collaborative design frameworks. ?? Looking Back and Moving Forward As we revisit this work 12 years later, its critical reflections on design and computation feel more relevant than ever in the age of generative AI and rapid innovation. To celebrate its 12th anniversary, I’m making the journal available once more here. I hope that it inspires meaningful conversations about design, computation, and their evolving intersection. Download the full journal below. ?? Let’s Reflect Together... How do you see the relationship between design and computation evolving? I’d love to hear your thoughts as we revisit this milestone. #computationaldesign #architecture #design #ai #ml #machineintelligence #insight #publication #designthinking #development #digitaldesign

How can we build AI models that do not just memorize, but learn higher level abstractions? Our new work proposes a multimodal intelligent graph reasoning model that offers a pathway to move beyond simple memorization and towards constructing relational abstractions of the world. We find that modeling graph representations can serve as a foundation for addressing challenging problems: Answering complex scientific questions, discovering novel materials, or connecting seemingly unlinked fields of scholarship. The approach is rooted in principles of category theory, a mathematical framework that abstracts relationships between objects and maps their transformations. This uncovers hidden connections and reveals shared patterns across domains. ?? Relational abstractions allow us to move from isolated data points to a structured understanding of their interconnections, capturing both explicit links and the underlying logic that governs them. This capability is crucial for identifying latent relationships, synthesizing knowledge across disciplines, and proposing innovative solutions. ?? Transitive mechanisms uncover indirect relationships, while isomorphic mappings identify structural parallels between distinct fields. Isomorphic mappings are particularly key to generalization, as they reveal shared structural patterns that transcend domain-specific details. As the model recognizes these commonalities, we can apply insights from one area—such as bio-inspired materials—to seemingly unrelated fields like music or art, creating pathways for innovation and interdisciplinary understanding. ?? Our model incorporates multi-agent strategies, including X-LoRA, which dynamically adjusts its reasoning processes by leveraging multiple forward passes in each agent: One to analyze the input and reconfigure the model's internal structure, and another to generate a response. This meta-aware adaptability allows the model to adjust based on the complexity of the input graph and the relationships involved, effectively optimizing its approach to each task. This work is part of our effort to use AI for uncovering deeper relational abstractions in science, technology, and beyond. It may serve as a possible way to model aspects of innovation computationally—extending AI’s role from retrieval to discovery through structured reasoning and hypothesis generation. MIT News: https://lnkd.in/eYsUH3Xr Paper: https://lnkd.in/e3F7mvaJ

We're at Formnext - Where ideas take shape this week! Rik Baruah is hanging out at the Synera Booth C18 in Hall 12.0 Come see #IntactSimulation in action with our partners: Synera Hall 12.0, C18 nTop Hall 12.1, A126 Cognitive Design Systems Hall 12.0, C21 spherene Hall 12.1, E19 #INTACTEVERYWHERE #IntactRoadShow

Thrilled to be back at Formnext, the premier event for additive manufacturing! I’m looking forward to reconnecting with our partners, catching up with our customers, and exploring the latest trends shaping our industry. Today, Materialise is unveiling exciting new collaborations and software updates, all aimed at increasing customization in 3D printing. As our industry moves beyond just technological innovation to being a vital tool for industrial applications, it’s more important than ever to give manufacturers the flexibility they need. At Materialise, we call this "Power to the People" — putting control and customization in the hands of those who need it most. For more information about our announcements, visit https://lnkd.in/ey2MKHQ7 #Formnext2024 #3DPrintingInnovation #PowerToThePeople

? Intern Opportunity in the Autodesk AI Lab! ? We have a summer 2025 intern role that just opened up in Canada. We are looking for someone who has experience with generative and diffusion models, computer graphics, and publishing research results. We have a specific project in mind and it would suit someone who is early on in their Ph.D. or pursuing a Masters with a research focus. Note that you must have at least one academic term to complete post-internship. Here is the link to apply: https://lnkd.in/ePE5HC8D

https://lnkd.in/epUYJRCy Latest episode of the CDFAM Podcast with Karl D.D. Willis of Autodesk Research