# Simulation and Design NVIDIA Blog tag for posts about simulation and design technologies. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## How to Use AI Agents to Prepare 3D Scenes for Simulation DevFeed: [How to Use AI Agents to Prepare 3D Scenes for Simulation]() Original publisher: [Read original article]() Author: Tanya Lenz Published: 2026-09-16T23:20:33Z Content type: tutorial Language: en Sources: [NVIDIA Developer](), [NVIDIA Technical Blog]() Topics: [Artificial Intelligence](), [Simulation](), [Physical AI](), [Simulation and Design](), [blender](), [Isaac Sim](), [Omniverse](), [Robotics Simulation](), [Robotics]() Tags: [3d](), [agentic](), [agentic-ai-generative-ai](), [agents](), [ai](), [blender](), [gpt-6-astra](), [how-to](), [isaac-sim](), [nemoclaw](), [nvidia](), [omniverse](), [openai](), [openusd](), [physical-ai](), [robotics](), [robotics-simulation](), [simulation](), [simulation-modeling-design]() ### AI overview This tutorial describes an agentic workflow for preparing Blender 3D scenes for robotics simulation. It covers scene inspection, OpenUSD metadata, physics properties, rendering preflight views, and validation for simulation-ready handoff to NVIDIA Isaac Sim or Isaac Lab. ### Source excerpt Agentic AI workflows can be used to prepare and validate digital twins for physical AI systems. Agents can inspect 3D scenes, author simulation-relevant data in... ## onsemi Embedded Power Platform Announced DevFeed: [onsemi Embedded Power Platform Announced]() Original publisher: [Read original article]() Author: Vic A Published: 2026-09-16T22:07:08Z Content type: release Language: en Sources: [ServeTheHome]() Topics: [Artificial Intelligence](), [systems](), [Simulation and Design]() Tags: [800v](), [ai](), [automotive](), [embedded](), [industrial](), [news](), [onsemi](), [platform](), [power]() ### AI overview onsemi announced its Embedded Power Platform, which embeds heterogeneous power dies in silicon and connects them with wafer-level redistribution layers instead of wire bonds. The company is targeting vehicle electrification, AI power infrastructure, and industrial applications, with 800V DC AI racks identified as an early use case. ### Source excerpt At its investor day, onsemi announced its new Embedded Power Platform for AI racks, automotive, and industrial applications The post onsemi Embedded Power Platform Announced appeared first on ServeTheHome. ## IBM Quantum System Two Heads to Switzerland: 120-Qubit Nighthawk r2 at CSCS by End of 2026 DevFeed: [IBM Quantum System Two Heads to Switzerland: 120-Qubit Nighthawk r2 at CSCS by End of 2026]() Original publisher: [Read original article]() Author: Harold Fritts Published: 2026-09-11T16:25:47Z Content type: news Language: en Sources: [StorageReview.com]() Topics: [ibm](), [Quantum Computing](), [Supercomputing](), [Cloud](), [Algorithms](), [Optimization](), [Simulation and Design](), [Hardware]() Tags: [2026](), [ai](), [algorithms](), [amd](), [chemistry](), [cloud](), [collaboration](), [core](), [enterprise](), [financial-services](), [hardware](), [hub](), [ibm](), [infrastructure](), [manufacturing](), [optimization](), [processors](), [quantum](), [quantum-computing](), [science](), [simulation](), [supercomputing]() ### AI overview IBM and Lockheed Martin are establishing a quantum innovation hub at ETH Zurich, centered on an IBM Quantum System Two planned for installation at the Swiss National Supercomputing Centre by the end of 2026. The system will use IBM's 120-qubit Nighthawk r2 processor and support research in areas including chemistry, materials science, optimization, and financial services. ### Source excerpt IBM and Lockheed Martin are setting up a quantum innovation hub at ETH Zurich, and its core is Switzerland's first IBM Quantum System Two, to be installed at the Swiss National Supercomputing Centre (CSCS) in Lugano by the end of 2026. The hub comes out of an offset agreement with armasuisse, Switzerland's Federal Office for The post IBM Quantum System Two Heads to Switzerland: 120-Qubit Nighthawk r2 at CSCS by End of 2026 appeared first on StorageReview.com. ## Skild AI Taps NVIDIA Physical AI to Teach Robots New Tasks From a Single Video DevFeed: [Skild AI Taps NVIDIA Physical AI to Teach Robots New Tasks From a Single Video]() Original publisher: [Read original article]() Author: Sasa Docca Published: 2026-09-10T16:30:35Z Content type: news Language: en Sources: [NVIDIA Blog]() Topics: [foundation-models](), [Cosmos](), [Simulation and Design](), [synthetic-data]() Tags: [ai](), [artificial-intelligence](), [cosmos](), [customer-stories](), [industrial-and-manufacturing](), [isaac](), [model](), [nvidia](), [nvidia-blackwell](), [omniverse](), [physical-ai](), [robotics](), [robots](), [simulation-and-design](), [synthetic-data-generation](), [tensorrt](), [video]() ### AI overview Skild AI's S1 robot foundation model learns new long-horizon physical tasks from a single video demonstration through in-context learning, without task-specific retraining. The article describes its development on NVIDIA AI infrastructure and use of NVIDIA Isaac Lab and Cosmos technologies. ### Source excerpt Manufacturing floors, warehouses and production lines rarely stay fixed -- tasks change, layouts shift and new products arrive, and most robots can't keep up without significant reprogramming. Skild AI's new S1 robot foundation model helps address this, designed to learn previously unseen, long-horizon tasks from a single video demonstration. The model, launched last week, uses [...] ## The Daily Heller: Paolo Garretto Was My Pen Pal, Reprised DevFeed: [The Daily Heller: Paolo Garretto Was My Pen Pal, Reprised]() Original publisher: [Read original article]() Author: Steven Heller Published: 2026-09-02T11:00:00Z Content type: article Language: en Sources: [PRINT Magazine]() Topics: [Simulation and Design]() Tags: [design](), [design-culture](), [history](), [illustration-design](), [print-homepage-rotation](), [the-daily-heller]() ### AI overview A personal recollection of correspondence with Italian caricaturist and designer Paolo Garretto, whose work portrayed prominent figures and reflected his distinctive art deco style. ### Source excerpt Revisiting one of Steven Heller's favorite stories about a legend of Italian design ... The post The Daily Heller: Paolo Garretto Was My Pen Pal, Reprised appeared first on PRINT Magazine. ## Scale AV Perception Across Vehicle Platforms with NVIDIA Omniverse NuRec DevFeed: [Scale AV Perception Across Vehicle Platforms with NVIDIA Omniverse NuRec]() Original publisher: [Read original article]() Author: Michelle Horton Published: 2026-08-31T16:00:00Z Content type: tutorial Language: en Sources: [NVIDIA Developer](), [NVIDIA Technical Blog]() Topics: [Nvidia](), [synthetic-data](), [Simulation and Design](), [data](), [configuration]() Tags: [3d](), [autonomous](), [autonomous-vehicles](), [data](), [developer-tools-techniques](), [developers](), [development](), [model](), [models](), [nvidia](), [omniverse](), [performance](), [physical-ai](), [post](), [robotics](), [scale](), [simulation-modeling-design](), [synthetic-data](), [training](), [tutorial]() ### AI overview This tutorial explains how to adapt an autonomous-vehicle perception stack across carline and sensor-rig variants using existing real-world drives. It presents a four-step workflow with NVIDIA Omniverse NuRec: pair a reconstructed drive with a target rig, render target camera views, refine the frames with NVIDIA Harmonizer, and train a perception model on the output. ### Source excerpt A perception stack is shaped by the vehicle that carries it. Move the same software to a new carline--for example, from an SUV to a sedan or another vehicle... ## How to Train a Cross-Embodiment Robot Navigation Policy with AI Agents DevFeed: [How to Train a Cross-Embodiment Robot Navigation Policy with AI Agents]() Original publisher: [Read original article]() Author: Tanya Lenz Published: 2026-08-26T20:05:06Z Content type: tutorial Language: en Sources: [NVIDIA Developer](), [NVIDIA Technical Blog]() Topics: [Artificial Intelligence](), [Reinforcement learning](), [codex](), [coding](), [Simulation and Design](), [CUDA]() Tags: [agent](), [agentic-ai-generative-ai](), [ai](), [ai-agent](), [ai-agents](), [architecture](), [codex](), [coding](), [cuda](), [development](), [evaluation](), [framework](), [nvidia](), [omniverse](), [physical-ai](), [reinforcement-learning](), [robotics](), [simulation-modeling-design](), [skills](), [testing](), [training](), [tutorial](), [workflow]() ### AI overview This tutorial presents an agent-driven COMPASS workflow for training and evaluating cross-embodiment robot navigation policies. It covers asset preparation, smoke testing, residual reinforcement learning, checkpoint evaluation, runtime integration, and optional reconstructed environments using NVIDIA Omniverse NuRec. ### Source excerpt Navigation enables a robot to turn perception and motion into purposeful autonomy. Unlike locomotion, which produces stable movement, navigation must be used to... ## AI helps design new materials that work in the real world DevFeed: [AI helps design new materials that work in the real world]() Original publisher: [Read original article]() Author: Zach Winn | MIT News Published: 2026-08-26T09:00:00Z Content type: news Language: en Sources: [MIT AI News]() Topics: [Artificial Intelligence](), [Framework](), [Simulation and Design](), [Crystal]() Tags: [ai](), [artificial-intelligence](), [bowen-yu](), [chemical-engineering](), [chemistry](), [computer-chips](), [computer-science-and-technology](), [crystal](), [crysvcd](), [data-centers](), [department-of-energy-doe](), [diffusion-models](), [dmse](), [hao-tang](), [heather-kulik](), [ju-li](), [machine-learning](), [materials-design](), [materials-discovery](), [materials-science-and-engineering](), [mingda-li](), [mouyang-cheng](), [national-science-foundation-nsf](), [nuclear-science-and-engineering](), [paper](), [physics](), [research](), [school-of-engineering](), [school-of-science](), [semiconductors](), [weiliang-luo](), [weiwei-xie](), [yongqiang-cheng]() ### AI overview MIT researchers developed CrysVCD, a framework that applies chemistry-based valence constraints before material generation to improve the stability of generated designs. In tests, it achieved high lattice-dynamics stability in nearly 70 percent of computational material generations and supported targeting properties such as high thermal conductivity and high dielectric constant. ### Source excerpt The "CrysVCD" tool developed at MIT could cut the huge amounts of time and money spent on screening out chemically unstable designs. ## Fast Travel Games' Erik Odeldahl On Building Payday: Aces High For VR DevFeed: [Fast Travel Games' Erik Odeldahl On Building Payday: Aces High For VR]() Original publisher: [Read original article]() Author: Mike Johnson Published: 2026-08-25T14:05:16Z Content type: article Language: en Sources: [UploadVR]() Topics: [Development](), [Simulation and Design]() Tags: [development](), [games](), [vr-gaming]() ### AI overview UploadVR interviews Fast Travel Games Chief Creative Officer Erik Odeldahl about the VR design decisions behind Payday: Aces High. He discusses the game's planned launch content, post-launch support, focus on weapons, gadgets, physical interactions and stealth, and the removal of hostage exchanges because of challenges with NPC interactions in VR. ### Source excerpt We played Payday: Aces High with Fast Travel Games and talked to Chief Creative Officer Erik Odeldahl about the VR design philosophies behind the co-op heist shooter. ## Talking with Synopsys about the Physics of Chip Design at DAC 2026 DevFeed: [Talking with Synopsys about the Physics of Chip Design at DAC 2026]() Original publisher: [Read original article]() Author: George Cozma Published: 2026-08-11T16:52:16Z Content type: article Language: en Sources: [Chips and Cheese]() Topics: [Chip design](), [3D](), [Simulation and Design]() Tags: [3d](), [audio](), [automotive](), [battery](), [chip-design](), [communications](), [design](), [desktop](), [heat](), [interview](), [low-power](), [physics](), [techniques]() ### AI overview An edited audio interview with Synopsys executive Ravi Subramanian examines the physics involved in chip design and electronic design automation tools. The discussion covers larger chips, 2.5D and 3D multi-die integration, thermal management, low-power mobile systems, and automotive operating environments. ### Source excerpt Hello you fine Internet folks, ## Advancing Semiconductor Innovation Across Materials Engineering and Manufacturing DevFeed: [Advancing Semiconductor Innovation Across Materials Engineering and Manufacturing]() Original publisher: [Read original article]() Author: Tanya Lenz Published: 2026-07-27T00:45:00Z Content type: article Language: en Sources: [NVIDIA Developer](), [NVIDIA Technical Blog]() Topics: [Artificial Intelligence](), [CUDA](), [GPU](), [Optimization](), [Nvidia](), [Simulation and Design](), [Hardware]() Tags: [ai](), [computational-chemistry-materials-science](), [compute](), [cuda](), [cuda-x](), [data-center-cloud](), [engineering](), [featured](), [gpu](), [hardware](), [industrial-digitalization-digital-twin](), [manufacturing](), [nvidia](), [optimization](), [physics](), [production](), [simulation-modeling-design]() ### AI overview Applied Materials and NVIDIA are presented as combining materials engineering, semiconductor manufacturing, CUDA-X libraries, GPU-accelerated simulation, physics-based modeling, and AI-driven digital twins in an end-to-end digital development model. The approach spans atomic-scale materials discovery, process development, and factory optimization, with Ginestra used to connect material defects and properties to predicted device performance. ### Source excerpt As AI workloads increase, explosive compute demand is pushing the semiconductor industry to meet unprecedented performance targets. Even small delays can have... ## Develop Lightweight USD Runtimes Faster with AI Agents DevFeed: [Develop Lightweight USD Runtimes Faster with AI Agents]() Original publisher: [Read original article]() Author: Michelle Horton Published: 2026-07-15T21:57:23Z Content type: article Language: en Sources: [NVIDIA Developer](), [NVIDIA Technical Blog]() Topics: [Artificial Intelligence](), [Simulation and Design](), [Code](), [Nvidia]() Tags: [agents](), [ai](), [ai-agents](), [code](), [developer-tools-techniques](), [featured](), [hackathon](), [nvidia](), [omniverse](), [openusd](), [physical-ai](), [robotics](), [simulation-modeling-design]() ### AI overview This article presents nanousd-labs, an experimental NVIDIA Omniverse Labs project that uses AI agents and the machine-readable USD Core Specification to generate lightweight, compliant OpenUSD runtimes. It explains how agents generate and validate code against specification-derived tests, enabling runtimes tailored to memory, performance, language, and deployment constraints. ### Source excerpt OpenUSD is an open, extensible framework that provides a common scene description language for physical AI. It enables teams to bring CAD data, simulation... ## How to Evaluate General-Purpose Robot Policies for Real-World Deployment DevFeed: [How to Evaluate General-Purpose Robot Policies for Real-World Deployment]() Original publisher: [Read original article]() Author: Brad Nemire Published: 2026-07-12T01:08:17Z Content type: article Language: en Sources: [NVIDIA Developer](), [NVIDIA Technical Blog]() Topics: [Robotics](), [Benchmark](), [foundation-models](), [Simulation and Design](), [Deployment]() Tags: [benchmark](), [benchmarks](), [deployment](), [evaluation](), [featured](), [foundation-models](), [nvidia-research](), [physics](), [robotics](), [simulation-modeling-design](), [testing]() ### AI overview This developer article examines the challenge of rigorously evaluating general-purpose robot policies for real-world deployment. It discusses simulation as a scalable proxy for expensive real-world testing and identifies limitations in current benchmarks, including shared visual sources between training and evaluation, costly Real2sim reconstruction, static task sets, performance saturation, limited failure diagnostics, and uncertainty in success-rate estimates. ### Source excerpt Robotics foundation models have made remarkable progress. Today's best systems can follow natural language instructions to pick, place, sort, and manipulate a... ## Introducing Robostral Navigate DevFeed: [Introducing Robostral Navigate]() Original publisher: [Read original article]() Published: 2026-07-08T12:00:59Z Content type: news Language: en Sources: [Mistral AI Blog]() Topics: [Robotics](), [Artificial Intelligence](), [Benchmark](), [Reinforcement learning](), [Simulation and Design]() Tags: [ai](), [benchmark](), [benchmarks](), [model](), [models](), [performance](), [reinforcement-learning](), [robotics](), [robots](), [technology](), [training](), [validation]() ### AI overview Robostral Navigate is an 8B embodied-navigation model that guides robots through complex environments from a single RGB camera and plain-language instructions. It achieves 76.6% success on unseen R2R-CE validation, outperforming systems using depth or multiple cameras, and runs across wheeled, legged, and flying robots. ### Source excerpt Introducing Robostral Navigate: 8B model achieving 76.6% on R2R-CE with just a single RGB camera. No depth sensors, LiDAR, or multiple cameras needed. ## Develop Humanoid Robot Policies End-to-End with NVIDIA Isaac GR00T DevFeed: [Develop Humanoid Robot Policies End-to-End with NVIDIA Isaac GR00T]() Original publisher: [Read original article]() Author: Elizabeth Goodman Published: 2026-07-07T17:05:42Z Content type: article Language: en Sources: [NVIDIA Developer](), [NVIDIA Technical Blog]() Topics: [Robotics](), [Model Development](), [Open Source](), [Training AI Models](), [datasets](), [multimodal](), [Deployment](), [Simulation and Design](), [Tooling]() Tags: [ai-foundation-models](), [apache](), [building](), [data](), [deployment](), [developers](), [development](), [evaluation](), [featured](), [humanoid-robots](), [images](), [integrations](), [isaac](), [isaac-sim](), [manufacturing](), [model](), [multimodal](), [nvidia](), [open-source](), [robotics](), [robotics-simulation](), [robots](), [simulation-modeling-design](), [software](), [tooling](), [training](), [workflows]() ### AI overview NVIDIA Isaac GR00T Development Platform unifies humanoid robot development workflows, combining data collection, simulation-based training, evaluation, and deployment. The article highlights the open Isaac GR00T 1.7 vision-language-action model, which accepts language and images and can be adapted to robots, tasks, and environments through post-training. ### Source excerpt As more teams move from humanoid robot bring-up to task-specific skill development, the need for repeatable development workflows is growing. Building humanoids... ## How an astrophysicist uses Codex to help simulate black holes DevFeed: [How an astrophysicist uses Codex to help simulate black holes]() Original publisher: [Read original article]() Published: 2026-06-11T00:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [codex](), [Algorithms](), [data-processing](), [Programming](), [Simulation and Design]() Tags: [algorithms](), [applied-ai](), [codex](), [data](), [data-processing](), [event](), [images](), [model](), [relativity](), [scale](), [space](), [time](), [tools](), [workflows]() ### AI overview Astrophysicist Chi-kwan Chan uses Codex to refine and test algorithms for simulating electrons and ions around black holes. The article explains how these simulations, data processing, and large-scale computing workflows help interpret Event Horizon Telescope observations and study extreme physics and general relativity. ### Source excerpt Discover how astrophysicist Chi-kwan Chan uses Codex to build black hole simulations, helping scientists study extreme physics and test Einstein's theory of general relativity. ## Introducing physics AI at Mistral: the foundation for engineering acceleration. DevFeed: [Introducing physics AI at Mistral: the foundation for engineering acceleration.]() Original publisher: [Read original article]() Published: 2026-05-27T12:00:55Z Content type: article Language: en Sources: [Mistral AI Blog]() Topics: [Artificial Intelligence](), [AI Models](), [Simulation and Design](), [Finite Element Method (FEM)](), [Frontier AI](), [Hardware](), [Deployment]() Tags: [ai](), [ai-data-centers](), [ai-models](), [deployment](), [engineering](), [hardware](), [physics]() ### AI overview Mistral introduces physics AI as a new class of frontier AI models for engineering. The article explains how these models can accelerate physical-system analysis, expand design-space exploration, preserve physics insight during product operation, and support AI-native industrial engineering across manufacturing, aviation, energy, and hardware development. ### Source excerpt A new class of AI models that predict the behavior of physical systems, powering the engineers and hardware products of tomorrow. ## Emmi joins Mistral to accelerate the AI-native industry DevFeed: [Emmi joins Mistral to accelerate the AI-native industry]() Original publisher: [Read original article]() Published: 2026-05-23T12:00:26Z Content type: news Language: en Sources: [Mistral AI Blog]() Topics: [Artificial Intelligence](), [Simulation and Design](), [AI Development]() Tags: [acquisition](), [ai](), [automotive](), [design](), [engineering](), [industry](), [manufacturing](), [physics](), [platform](), [real-time](), [science]() ### AI overview Mistral AI announces a definitive agreement to acquire Emmi AI, aiming to strengthen its industrial AI offering through Physics AI, engineering models, real-time simulations, digital twins, and AI agents that use existing engineering tools. The deal is intended to support engineering, manufacturing, and high-stakes industrial sectors. ### Source excerpt The most powerful AI platform for enterprises. Customize, fine-tune, and deploy AI assistants, autonomous agents, and multimodal AI with open models. ## How to Build a Healthcare Robot from Simulation to Deployment with NVIDIA Isaac for Healthcare DevFeed: [How to Build a Healthcare Robot from Simulation to Deployment with NVIDIA Isaac for Healthcare]() Original publisher: [Read original article]() Author: Asawaree Published: 2025-10-28T20:42:35Z Content type: tutorial Language: en Sources: [Hugging Face - Blog]() Topics: [Isaac for Healthcare](), [Robotics](), [Simulation and Design](), [synthetic-data](), [datasets](), [Training AI Models](), [lerobot](), [model-deployment](), [Inference](), [Medical imaging]() Tags: [ai](), [data](), [datasets](), [deployment](), [healthcare](), [how-to](), [inference](), [isaac-for-healthcare](), [nvidia](), [robotics](), [simulation](), [synthetic-data](), [training](), [tutorial]() ### AI overview This hands-on guide presents NVIDIA Isaac for Healthcare v0.4 and its SO-ARM starter workflow for building autonomous surgical-assistance robots. It covers collecting real and synthetic data with SO-ARM and LeRobot, post-training GR00T N1.5, evaluation in Isaac Lab, and deployment with real-time inference on physical hardware. ### Source excerpt A hands-on guide to collecting data, training policies, and deploying autonomous medical robotics workflows on real hardware Simulation has been a cornerstone in medical imaging to address the data gap. However, in healthcare robotics until now, it's often been too slow, siloed, or difficult to translate into real-world systems. That's now changing. ## Design meetup by red\_mad\_robot on AI, creativity, and live design DevFeed: [Design meetup by red\_mad\_robot on AI, creativity, and live design]() Original publisher: [Read original article]() Author: redmadrobot (red\_mad\_robot) Published: 2025-03-24T14:12:11Z Content type: news Language: ru Sources: [Redmadrobot EN](), [Redmadrobot RU]() Topics: [Artificial Intelligence](), [Simulation and Design]() Tags: [ai](), [design](), [tag-02d0ab888d82](), [tag-2e55655b670d](), [tag-61cd5a476b1d](), [tag-6e9d47cd6240](), [tag-86b843454893](), [tag-909d03ed6dc5](), [tech]() ### AI overview red_mad_robot announces a design meetup on April 3 featuring talks about using AI in marketplace content workflows, redesigning the World Class app, preserving creativity in an efficiency-focused era, and using video and animation in design. ### Source excerpt 3 апреля в офисе red_mad_robot соберутся лидеры индустрии дизайна, чтобы обсудить, как совместить креативность с эффективностью, использовать AI для ускорения рабочих процессов и сделать дизайн по-настоящему живым. В программе -- четыре доклада от дизайн-лидов и креативных директоров компаний red_mad_robot, ecom.tech, SberDevices и Иви.ру. После выступлений -- живое общение и нетворкинг. Читать далее ## Just our type: The story of creating Figma Sans DevFeed: [Just our type: The story of creating Figma Sans]() Original publisher: [Read original article]() Author: Jenny Xie Published: 2024-09-05T00:00:00Z Content type: article Language: en Sources: [Figma Blog]() Topics: [Figma](), [Simulation and Design]() Tags: [article](), [design](), [figma](), [illustration](), [series](), [types]() ### AI overview Figma's brand evolution included creating Figma Sans, a bespoke typeface designed by Grilli Type. The article explains how the team chose a contemporary grotesque style and prioritized flexibility, legibility, varied weights, optical sizes, and usability across display text and reading surfaces. ### Source excerpt As Figma expands to include tools for all product builders, our community has evolved--and so has our brand. We've overhauled our entire visual identity from color palette to illustration style, and even commissioned a new typeface. ## Aeon Studio: using Sketch to delight clients through design DevFeed: [Aeon Studio: using Sketch to delight clients through design]() Original publisher: [Read original article]() Author: Ale Cubero Published: 2024-04-02T08:00:00Z Content type: article Language: en Sources: [Sketch Blog]() Topics: [Sketch](), [Simulation and Design]() Tags: [creative](), [design](), [made-with-sketch](), [product](), [projects]() ### AI overview An interview with Aeon Studio, a Croatian design studio, about its design-agency operations, creative process, client relationships, and use of Sketch to deliver high-quality work. ### Source excerpt Meet Aeon Studio, an award-winning design studio in Croatia. Discover what their creative process looks like, and how Sketch helps them achieve high quality in every project. ## What's happening at Config 2023? DevFeed: [What's happening at Config 2023?]() Original publisher: [Read original article]() Author: Herbert Lui; Jenny Xie Published: 2023-06-19T00:00:00Z Content type: article Language: en Sources: [Figma Blog]() Topics: [Figma](), [User experience (UX)](), [Simulation and Design]() Tags: [3d](), [adobe](), [blog](), [demo](), [design](), [figma](), [ux]() ### AI overview A live blog from Config 2023 recaps talks, design discussions, and event activities. It highlights collaboration between designers, content designers, and UX writers, along with Adobe's gingerbread project, which can 3D-render text input while considering depth and perspective. ### Source excerpt No need for FOMO--the Editorial Team reported live from the scene. Check out our live blog below and watch all the talks from Config 2023. ## Little Big Updates: More improvements for design and collaboration DevFeed: [Little Big Updates: More improvements for design and collaboration]() Original publisher: [Read original article]() Author: Sula Yang Published: 2022-08-02T00:00:00Z Content type: release Language: en Sources: [Figma Blog]() Topics: [Simulation and Design](), [App]() Tags: [apple](), [collaboration](), [design](), [desktop](), [features](), [mobile](), [update](), [updates]() ### AI overview Figma announces more than 20 updates focused on design, collaboration, workflow improvements, and accessibility across its tools. Changes include smoother annotations, improved gradients and selection, formatting preservation, faster diagramming, automatic connector straightening, notification updates, and enhanced FigJam experiences on desktop and iPad. ### Source excerpt We recently launched 20+ updates across everything from shortcuts to design features. [Next page]()