News & Updates
Company updates, research milestones, articles and selected perspectives from Deep Design Systems.
DDS and CITIC opened a postdoctoral research opportunity in generative 3D and agentic systems
Deep Design Systems and CITIC opened a call for a postdoctoral researcher for an advanced research programme starting in January 2027, focused on generative 3D, agentic systems, synthetic data and procedural modelling. The call is now closed.
Automotive speed needs human judgement, not just acceleration
DDS responds to the pressure to compress automotive product development cycles, arguing that tools must preserve thinking time, reduce waste and keep decision-makers able to recognise what right looks like.
Symbolic Regression enabled prediction of flutter derivatives
Peer-reviewed paper by Miguel Cid Montoya, Omar A. Mures et al. Published in Advances in Wind Engineering (Elsevier), 2026.
Aeroelastic force prediction via temporal fusion transformers
Peer-reviewed paper by Miguel Cid Montoya, Ashutosh Mishra et al. Published in Computer-Aided Civil and Infrastructure Engineering, 2026.
Deep Design Systems becomes an official spin-off of Universidade da Coruña
The formalisation of DDS as a UDC spin-off strengthens its academic-transfer framework and its relationship with CITIC around applied AI, engineering and industrial design intelligence.
DDS team members present controlled synthetic data research at SIGGRAPH Asia 2025
Members of the DDS team and UDC-CITIC collaborators present work on controllable diffusion models for synthetic semantic segmentation datasets at the IEEE CG&A workshop within SIGGRAPH Asia 2025.
Luis Herranz on the environmental and ethical cost of generative AI
DDS shares a critical presentation on generative image and video models, including carbon footprint, energy consumption and the need for more sustainable, frugal and responsible AI innovation.
SDF-biased flow importance sampling for implicit neural compression of flow fields
Peer-reviewed paper by Omar A. Mures, Miguel Cid Montoya et al. Published in Computer-Aided Civil and Infrastructure Engineering, 2025.
Luis Omar Álvarez-Mures receives PhD Award at EACWE 2025
DDS highlights recognition for research on extreme compression of URANS flow data, aligned with the company’s interest in reducing the computational footprint of high-fidelity simulation.
Abundance Engineered: Designing Post-Scarcity Intelligence
Following the release of Google Veo 3, DDS examines what happens when creation becomes abundant and value shifts toward discernment, circularity, resilience and human meaning.
Should I Render or Should AI Generate? Synthetic datasets with controlled generation
Peer-reviewed paper by Omar A. Mures, Manuel Silva et al. Published in IEEE Computer Graphics and Applications, 2025. Presented at SIGGRAPH Asia 2025.
Exploring the effects of synthetic data generation for autonomous driving
Peer-reviewed paper by Manuel Silva, Antonio Seoane et al. Published in The Visual Computer (Springer), 2025.
Design Anarchy: a new dawn or the dusk of design?
DDS reflects on the democratisation of creative tools and asks how the designer’s role changes when creativity becomes accessible, fluid and increasingly machine-assisted.
The Elusive Shadow of AI
A critical positioning essay on how artificial intelligence can either reinforce extractive incentives or be redirected toward planetary, social and cultural value.
CEIG 2024 · Eurographics España
Academic talk at CEDI 2024: Challenges of Industrial Design in the AI Era. Universidade da Coruña.
Synthetic Industrial Design: Balancing Generative AI and Sustainability
An early DDS argument for updating industrial design methodology so generative AI is connected to environmental responsibility, education, regulation and control.
Synthetic Design Assistant
An early DDS experiment in generative automotive design using a DCGAN to explore latent visual features and support more data-informed design assumptions.
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