🪄 3D printing just broke free from gravity — and it happened at Disneyland Paris. Coperni, in collaboration with Disney Research, showcased a revolutionary technique called Rapid Liquid Printing (RLP) — a gel-based 3D printing process that allows objects to form freely in liquid space. The innovation: Instead of building layer by layer, RLP prints directly inside a gel bath. The gel supports the structure as it forms, meaning objects can be “drawn” in mid-air with smooth, continuous motion. What’s new: • No gravity constraints — objects print in all directions. • No supports or post-processing needed — a simple rinse finishes the product. • Compatible with soft materials like silicone and rubber, enabling flexibility and realism. Why it matters: This breakthrough eliminates one of 3D printing’s biggest limitations — the need for support structures. It drastically speeds up production, reduces waste, and enables designs that were previously impossible. → Fashion and luxury design — complex, fluid shapes in textiles and accessories → Architecture and furniture — organic, continuous forms without assembly → Healthcare and robotics — flexible components mimicking natural motion To me, this represents the next era of creation — where 3D printing stops stacking layers and starts shaping ideas in real time. Could this be the moment 3D printing becomes as intuitive as sketching in air? #3DPrinting #Design #Manufacturing #Creativity #FutureOfWork #Engineering #ArtAndTech
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🚀 Are we witnessing the end of blocky 3D prints? Researchers at Johns Hopkins have developed AN3DP — an active nozzle that changes its shape and diameter mid-print! 🔥 Inspired by tendons and retractable grabber tools, it uses 8 movable pins and an elastic membrane to reshape on the fly. The result? 🔹 Higher precision 🔹 Faster printing 🔹 Large-scale prints with fine detail Applications? From aerospace to soft electronics to architectural structures. 👉 A breakthrough published in Science Advances — proof that FDM is evolving faster than ever.
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🚀 3D Printing Is Reshaping Entire Industries — Here's How The global 3D printing market is projected to reach $105.5 billion by 2030, growing at a CAGR of 20.8% (Grand View Research, 2024). But it's not just about growth—it's about transformation. Here's how additive manufacturing is changing the game across sectors: 🔧 Manufacturing Companies adopting 3D printing report up to 90% reduction in prototyping time. GE Aviation saved $3 million per aircraft by printing fuel nozzles with fewer parts and lighter designs. 🏥 Healthcare The 3D printed medical devices market hit $3.6 billion in 2023. Over 100,000 hip implants have been 3D printed to date, offering better patient fit and faster recovery. ✈️ Aerospace & Automotive Airbus reduced part weight by 55% using lattice structures only possible via 3D printing. Ford uses 3D printing in more than 50% of its product development, slashing tooling costs by up to 70%. 🏗️ Construction 3D-printed homes can be built in under 24 hours for a fraction of the cost. ICON, a pioneer in the space, is collaborating with NASA to build habitats on the Moon using printed regolith. 👟 Consumer Goods Adidas has sold over 1 million 3D-printed midsoles, combining performance with mass customization. Jewelry and eyewear brands are seeing 20–30% faster time-to-market by using direct-to-print designs. 🔍 The takeaway: 3D printing is no longer just for prototyping—it's becoming central to production and innovation. Whether you're in aerospace, fashion, healthcare, or housing, additive manufacturing is opening new frontiers in cost-efficiency, speed, and customization. Are you exploring 3D printing in your strategy? #3DPrinting via @niotoys1 #AdditiveManufacturing #Innovation #DigitalTransformation
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A 40-year-old patent concept just became reality - powered by 3D printing🚀 Researchers at the MIT Computer Science and Artificial Intelligence Laboratory developed the “Y-Zipper,” a 3D-printed, three-sided fastener that can switch objects from flexible to rigid - and back again. What makes it interesting isn’t just the mechanism itself, but the range of applications it unlocks. ✅ Survived 18,000+ open-and-close cycles before failure — proving long-term durability under stress ✅ Fully customizable through software: users define the geometry before the part is automatically printed ✅ Four motion modes: Straight, curved, coiled, or twisted depending on the application ✅ Motor-compatible: Actuators can be added for fully automated movement The use cases go far beyond zippers: • A tent that pops into shape in under 90 seconds instead of taking six minutes to assemble • A wrist cast that stays flexible during the day and stiffens overnight • A robotic quadruped that automatically adjusts leg height based on terrain This is where additive manufacturing gets interesting: products that don’t just get printed - but adapt, move, and change behavior in real time. #3Dprinting Florian Palatini
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This week's defining shift for me is that creating 3D data is getting much simpler. New tools are turning everyday inputs like smartphone video, single photos, and text prompts into usable 3D environments and assets. This lowers the barrier to building the scenes, objects, and spaces that robotics, simulation, and immersive content rely on. It also shifts 3D creation from a specialized skill to something all teams can generate quickly and at the scale modern spatial systems require. This week’s news surfaced signals like these: 🤖 Parallax Worlds raised $4.9 million to turn standard video into digital twins for robotics testing. The platform turns basic walkthrough videos into interactive 3D spaces that teams can use to run their robot software and see how it performs before sending anything into the field. 🪑 Meta introduced SAM 3D to reconstruct objects and people from single images, producing full-textured meshes even when subjects are partly hidden or shot from difficult angles. The models were trained using real-world data and a staged process to improve accuracy. 🌏 Meta unveiled WorldGen, a research tool that generates full 3D worlds from text prompts. It produces complete, navigable spaces that can be used in Unity or Unreal and shows how AI can create environments without manual modeling. Why this matters: Faster 3D pipelines expand who can build, test, and refine spatial ideas. They turn 3D creation from a bottleneck into a regular part of development, which opens the door to more experimentation and better decisions earlier in the process. #robotics #digitaltwins #simulation #VR #AR #virtualreality #spatialcomputing #physicalAI #AI #3D
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How 3D Image Generation Is Transforming Our World Imagine exploring a new city district before a single brick is laid or holding a product prototype in your hands—virtually—long before it hits the factory floor. This is the power of 3D image generation. It’s not just about creating stunning visuals; it’s about transforming how we visualize ideas, streamline processes, and tell stories that bridge imagination and reality. As more industries adopt these tools, we’re rethinking how we build, heal, entertain, and interact with our world. Driving Innovation Across Industries 3D image generation has found a home in countless sectors, each reaping unique benefits: Healthcare: Visualize custom medical devices and plan surgeries with greater precision. Manufacturing: Test and refine product designs faster, reducing costly iterations. Entertainment & Gaming: Create lifelike characters and immersive environments that captivate audiences. Architecture & Construction: Tour realistic models before construction begins, leading to more intelligent decisions. Retail: Offer interactive product displays that enhance online shopping experiences. Cultural Heritage: Digitally preserve artifacts and historic sites for future generations. Robotics & Automation: Improve machine perception to support accurate navigation and object handling. These innovations highlight how 3D image generation fuels efficiency, creativity, and strategic thinking. AI: The Catalyst for the Next Leap Traditional 3D modeling demands time, money, and specialized skills. Integrating Artificial Intelligence (AI) changes the game. AI streamlines modeling and enhances visual fidelity by automating tedious tasks, making top-tier 3D content accessible to more professionals. AI learns from vast image libraries, absorbing details about texture, lighting, and materials. This knowledge enables it to produce visuals that rival—and often surpass—what human artists can achieve alone. Designers benefit from faster workflows, on-the-fly customization, and more intuitive design processes responsive to user feedback. Breakthrough Techniques in AI-Powered 3D New methods are accelerating progress: Neural Radiance Fields (NeRF): Train neural networks on multiple 2D images to produce flexible, realistic 3D scenes without traditional geometry. Score Distillation Sampling (SDS): Leverage existing 2D diffusion models to create accurate 3D representations, overcoming the challenge of limited 3D training data. Looking Ahead As AI-driven 3D image generation becomes more accessible and versatile, its influence will only deepen. Designers can refine products with fewer prototypes, surgeons can plan operations with unprecedented clarity, gamers can explore more immersive worlds, and cultural treasures can endure in digital form. This isn’t just a new tool—it’s a new lens, sharpening our vision of the world and helping us understand it in richer, more meaningful ways.
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Technology Will Not Replace You , Stagnation Will If you allow technology to sweep you out of your profession, then it is not the fault of technology; it is your fault. It simply means you have remained in one place for too long. I have been using laser levels for over seven years. I did not start at the top. I began with 1D-4 lines laser levels, then progressed to 2D -8lines lasers. At that stage, laser levels were still inadequate for proper setting out because they could not reliably generate accurate 90-degree angles. Everything changed when I transitioned from 2D eight-line to 3D-12lines laser levels. That marked the point where I could confidently use laser levels for accurate setting out, because true orthogonality (90-degree alignment) became achievable. Prior to that, four-line lasers were fundamentally limited and unsuitable for precise layout work. I have stated publicly that I was the first to adopters of manual laser levels for practical setting out in this manner. Some challenged this, claiming their boss had used laser levels for over 15 years. However, what existed then were basic four-line systems, which, by design, cannot deliver true right-angle geometry for accurate site layout. That, however, is not even the core issue. Where the Industry Is Today Today, the construction industry has moved far beyond basic laser levels. We now have advanced digital-to-physical layout systems that allow you to upload architectural drawings, CAD files, or BIM models, integrate them with AI-driven positioning, and project the design directly onto the site using lasers. You can physically see: • Wall lines • Corners and intersections • Room partitions • Kitchens, bathrooms, and service routes all projected exactly as designed, in real scale, on the ground or walls. This is no longer theory. This is active practice. Key Technologies Transforming Site Layout Today 1. Robotic Total Stations & Laser Layout Systems These are high-precision instruments used to transfer CAD/BIM data directly to the site with millimetre accuracy. They eliminate guesswork, tapes, string lines, and manual squaring. Examples include: • Robotic Total Stations with BIM integration • Automated layout tools linked to tablets • One-person-operated robotic positioning systems They allow coordinates from digital drawings to be “printed” on site using laser points and lines. 2. BIM-to-Field Layout Software Software platforms now connect BIM models directly to field equipment, enabling seamless data flow from design to construction without re-measurement or interpretation errors. 3. AI-Assisted Layout & Error Detection Artificial Intelligence is now used to: • Validate layouts against approved drawings • Detect deviations in real time • Reduce human error during setting out 4. Augmented Reality (AR) Construction Layout With AR headsets and mobile devices, professionals can visualize full 3D building components overlaid onto the physical site before con
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𝐌𝐮𝐥𝐭𝐢𝐬𝐜𝐚𝐥�� 𝟑𝐃 𝐩𝐫𝐢𝐧𝐭𝐢𝐧𝐠 𝐯𝐢𝐚 𝐚𝐜𝐭𝐢𝐯𝐞 𝐧𝐨𝐳𝐳𝐥𝐞 𝐬𝐢𝐳𝐞 𝐚𝐧𝐝 𝐬𝐡𝐚𝐩𝐞 𝐜𝐨𝐧𝐭𝐫𝐨𝐥. Three-dimensional (3D) printers extruding filaments through a fixed nozzle encounter a conflict between high resolution, requiring small diameters, and high speed, requiring large diameters. This limitation is especially pronounced in multiscale architectures featuring both bulk and intricate elements. Here, the authors introduce adaptive nozzle 3D printing (AN3DP), a technique enabling dynamic alteration of nozzle diameter and cross-sectional shape during printing. The AN3DP nozzle consists of eight independently controllable, tendon-driven pins arrayed around a flexible, pressure-resistant membrane. The design incorporates a tapered angle optimized for extruding shear-thinning inks and a pointed tip suitable for constrained-space printing, such as conformal and embedded printing. AN3DP’s efficacy is demonstrated through the fabrication of components with continuous gradients, eliminating the need for discretization, and achieving enhanced density and contour precision compared to traditional 3D printing methods. This platform substantially expands the scope of extrusion-based 3D printers, thus facilitating diverse applications, including bioprinting cell-laden and hierarchical implants with bone-like microarchitecture. https://lnkd.in/g43uSBAV
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Pretty impressed with the latest in 3D Gaussian splatting. I believe we are getting closer to representing the world the way the brain actually experiences it. What most people don’t realize is that 3D helps us with comprehension, memory, and the sense that what we are seeing is real. The more real it looks, the faster you comprehend and trust the information… so the better the 3D experience, the closer to reality, the better. Today most 3D rendering still looks like a rough approximation, but with the 3D Gaussian splatting technique I believe we are moving closer to highly realistic results. Still a long way to go, but very exciting progress. The cooler part is being able to represent motion… (see video) basically turning static captures into video-like sequences. 3D Gaussian splatting works by representing each point in a scene as a Gaussian “splat”… a soft 3D blob with position, color, size, and orientation. Millions, sometimes billions, of these splats combine to reconstruct a scene, allowing smooth, photorealistic rendering from any angle in real time. Now how is this useful in the real world… imagine being able to replay an accident scene and actually move around inside it. Zoom in on critical details, follow a path through the environment, fast forward or rewind, and even layer on tools to select or isolate objects for closer inspection (not native to splatting today, but possible). Or think about a surgery room… moving around the patient in real time, inspecting angles and details that a flat 2D monitor could never show. Extend that to defense, public safety (airport security, border monitoring, disaster response), or infrastructure (bridge inspections, utility corridors, construction sites)… areas where flat video feeds limit awareness. The closer our data matches real-world geometry and textures in 3D, the more natural and trustworthy it feels, and the faster you will act on it. Of course, a minor detail is that you would need video feeds from multiple angles to generate this kind of output. I am not sure society is ready to have that level of capture in public, but in private industrial or medical environments this could be extremely useful. Exciting to watch this technology evolve
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Researchers have introduced an ultrafast additive manufacturing method that uses holographic light fields to fabricate complex 3D structures in a single step. The approach, known as digital incoherent synthesis of holographic light (DISH), projects a fully formed 3D energy pattern into resin, eliminating the traditional layer-by-layer bottleneck. The team demonstrated the ability to produce millimeter-scale parts in as little as 0.6 seconds, dramatically increasing throughput compared with conventional and even many volumetric printing techniques. By shaping light rather than mechanically scanning material, the process improves speed, precision, and manufacturing flexibility. #AdditiveManufacturing #3DPrinting #VolumetricPrinting #HolographicPrinting #AdvancedManufacturing #Microfabrication #Photonics #DigitalManufacturing #AMInnovation #FutureOfManufacturing #ResearchAndDevelopment