Mark Theriault founded the startup FITY envisioning a line of clever cooling products: cold drink holders that come with freezable pucks to keep beverages cold for longer without the mess of ice. The entrepreneur started with 3D prints of products in his basement, building one unit at a time, before eventually scaling to mass production. Founding a consumer product company from scratch was a tall order for a single person. Going from preliminary sketches to production-ready designs was a major challenge. To bring his creative vision to life, Theriault relied on AI and his NVIDIA GeForce RTX-equipped system. For him, AI isn’t just a tool — it’s an entire pipeline to help him accomplish his goals. about his workflow below. Plus, GeForce RTX 5050 laptops start arriving today at retailers worldwide, from GeForce RTX 5050 Laptop GPUs feature 2,560 NVIDIA Blackwell CUDA cores, fifth-generation AI Tensor Cores, fourth-generation RT Cores, a ninth-generation NVENC encoder and a sixth-generation NVDEC decoder. In addition, NVIDIA’s Plug and Play: Project G-Assist Plug-In Hackathon — running virtually through Wednesday, July 16 — invites developers to explore AI and build custom G-Assist plug-ins for a chance to win prizes. the date for the G-Assist Plug-In webinar on Wednesday, July 9, from 10-11 a.m. PT, to learn more about Project G-Assist capabilities and fundamentals, and to participate in a live Q&A session. From Concept to Completion To create his standout products, Theriault tinkers with potential FITY Flex cooler designs with traditional methods, from sketch to computer-aided design to rapid prototyping, until he finds the right vision. A unique aspect of the FITY Flex design is that it can be customized with fun, popular shoe charms. For packaging design inspiration, Theriault uses his preferred text-to-image generative AI model for prototyping, Stable Diffusion XL — which runs 60% faster with the NVIDIA TensorRT software development kit — using the modular, node-based interface ComfyUI. ComfyUI gives users granular control over every step of the generation process — prompting, sampling, model loading, image conditioning and post-processing. It’s ideal for advanced users like Theriault who want to customize how images are generated. Theriault’s uses of AI result in a complete computer graphics-based ad campaign. Image courtesy of FITY. NVIDIA and GeForce RTX GPUs based on the NVIDIA Blackwell architecture include fifth-generation Tensor Cores designed to accelerate AI and deep learning workloads. These GPUs work with CUDA optimizations in PyTorch to seamlessly accelerate ComfyUI, reducing generation time on FLUX.1-dev, an image generation model from Black Forest Labs, from two minutes per image on the Mac M3 Ultra to about four seconds on the GeForce RTX 5090 desktop GPU. ComfyUI can also add ControlNets — AI models that help control image generation — that Theriault uses for tasks like guiding human poses, setting compositions via depth mapping and converting scribbles to images. Theriault even creates his own fine-tuned models to keep his style consistent. He used low-rank adaptationmodels — small, efficient adapters into specific layers of the network — enabling hyper-customized generation with minimal compute cost. LoRA models allow Theriault to ideate on visuals quickly. Image courtesy of FITY. “Over the last few months, I’ve been shifting from AI-assisted computer graphics renders to fully AI-generated product imagery using a custom Flux LoRA I trained in house. My RTX 4080 SUPER GPU has been essential for getting the performance I need to train and iterate quickly.” – Mark Theriault, founder of FITY  Theriault also taps into generative AI to create marketing assets like FITY Flex product packaging. He uses FLUX.1, which excels at generating legible text within images, addressing a common challenge in text-to-image models. Though FLUX.1 models can typically consume over 23GB of VRAM, NVIDIA has collaborated with Black Forest Labs to help reduce the size of these models using quantization — a technique that reduces model size while maintaining quality. The models were then accelerated with TensorRT, which provides an up to 2x speedup over PyTorch. To simplify using these models in ComfyUI, NVIDIA created the FLUX.1 NIM microservice, a containerized version of FLUX.1 that can be loaded in ComfyUI and enables FP4 quantization and TensorRT support. Combined, the models come down to just over 11GB of VRAM, and performance improves by 2.5x. Theriault uses the Blender Cycles app to render out final files. For 3D workflows, NVIDIA offers the AI Blueprint for 3D-guided generative AI to ease the positioning and composition of 3D images, so anyone interested in this method can quickly get started. Photorealistic renders. Image courtesy of FITY. Finally, Theriault uses large language models to generate marketing copy — tailored for search engine optimization, tone and storytelling — as well as to complete his patent and provisional applications, work that usually costs thousands of dollars in legal fees and considerable time. Generative AI helps Theriault create promotional materials like the above. Image courtesy of FITY. “As a one-man band with a ton of content to generate, having on-the-fly generation capabilities for my product designs really helps speed things up.” – Mark Theriault, founder of FITY Every texture, every word, every photo, every accessory was a micro-decision, Theriault said. AI helped him survive the “death by a thousand cuts” that can stall solo startup founders, he added. Each week, the RTX AI Garage blog series features community-driven AI innovations and content for those looking to learn more about NVIDIA NIM microservices and AI Blueprints, as well as building AI agents, creative workflows, digital humans, productivity apps and more on AI PCs and workstations.  Plug in to NVIDIA AI PC on Facebook, Instagram, TikTok and X — and stay informed by subscribing to the RTX AI PC newsletter. Follow NVIDIA Workstation on LinkedIn and X.  See notice regarding software product information. #startup #uses #nvidia #rtxpowered #generative

Is it just me, or does the phrase "Quick Tip: A Better Wet Shader" sound like the latest buzz from a trendy café, where the barista is more interested in his art than the coffee? I mean, who would have thought that the secret to stunning visuals in Blender would come down to a clearcoat? It’s almost as if John Mervin, that brave pioneer of pixelated perfection, stumbled upon the holy grail of rendering while driving—because, you know, multitasking is all the rage these days! Let's take a moment to appreciate the genius of recording tutorials while navigating rush hour traffic. Who needs a calm, focused environment when you could be dodging potholes and merging lanes? I can just picture it: "Okay, folks, today we're going to add a clearcoat to our wet shader... but first, let’s avoid this pedestrian!" Truly inspiring. But back to the world of wet shaders. Apparently, the key to mastering the art of sheen is just slapping on a clearcoat and calling it a day. Why bother with the complexities of light diffusion, texture mapping, or even the nuances of realism when you can just... coat it? It's like serving a gourmet meal and then drowning it in ketchup—truly a culinary masterpiece! And let’s not forget the vast potential here. If adding a clearcoat is revolutionary, imagine the untapped possibilities! Why not just throw in a sprinkle of fairy dust and call it a magical shader? Or better yet, how about a “drive-by” tutorial series that teaches us how to animate while on a rollercoaster? The future of Blender tutorials is bright—especially if you’re driving towards it at 80 mph! After all, who needs to focus on the intricacies of shader creation when we can all just slap on a clearcoat and hope for the best? The art of 3D rendering has clearly reached a new zenith. So, to all the aspiring Blender wizards out there, remember: clearcoat is your best friend, and traffic lights are merely suggestions. In conclusion, if you ever find yourself needing a quick fix in Blender, just remember—there’s nothing a good clearcoat can’t solve. Just don’t forget to keep your eyes on the road; after all, we wouldn’t want you to miss a tutorial while mastering the art of shaders on the go! #WetShader #BlenderTutorial #Clearcoat #3DRendering #DigitalArt

Navigating the dense urban canyons of cities like San Francisco or New York can be a nightmare for GPS systems. The towering skyscrapers block and reflect satellite signals, leading to location errors of tens of meters. For you and me, that might mean a missed turn. But for an autonomous vehicle or a delivery robot, that level of imprecision is the difference between a successful mission and a costly failure. These machines require pinpoint accuracy to operate safely and efficiently. Addressing this critical challenge, researchers from the École Polytechnique Fédérale de Lausannein Switzerland have introduced a groundbreaking new method for visual localization during CVPR 2025 Their new paper, “FG2: Fine-Grained Cross-View Localization by Fine-Grained Feature Matching,” presents a novel AI model that significantly enhances the ability of a ground-level system, like an autonomous car, to determine its exact position and orientation using only a camera and a corresponding aerialimage. The new approach has demonstrated a remarkable 28% reduction in mean localization error compared to the previous state-of-the-art on a challenging public dataset. Key Takeaways: Superior Accuracy: The FG2 model reduces the average localization error by a significant 28% on the VIGOR cross-area test set, a challenging benchmark for this task. Human-like Intuition: Instead of relying on abstract descriptors, the model mimics human reasoning by matching fine-grained, semantically consistent features—like curbs, crosswalks, and buildings—between a ground-level photo and an aerial map. Enhanced Interpretability: The method allows researchers to “see” what the AI is “thinking” by visualizing exactly which features in the ground and aerial images are being matched, a major step forward from previous “black box” models. Weakly Supervised Learning: Remarkably, the model learns these complex and consistent feature matches without any direct labels for correspondences. It achieves this using only the final camera pose as a supervisory signal. Challenge: Seeing the World from Two Different Angles The core problem of cross-view localization is the dramatic difference in perspective between a street-level camera and an overhead satellite view. A building facade seen from the ground looks completely different from its rooftop signature in an aerial image. Existing methods have struggled with this. Some create a general “descriptor” for the entire scene, but this is an abstract approach that doesn’t mirror how humans naturally localize themselves by spotting specific landmarks. Other methods transform the ground image into a Bird’s-Eye-Viewbut are often limited to the ground plane, ignoring crucial vertical structures like buildings. FG2: Matching Fine-Grained Features The EPFL team’s FG2 method introduces a more intuitive and effective process. It aligns two sets of points: one generated from the ground-level image and another sampled from the aerial map. Here’s a breakdown of their innovative pipeline: Mapping to 3D: The process begins by taking the features from the ground-level image and lifting them into a 3D point cloud centered around the camera. This creates a 3D representation of the immediate environment. Smart Pooling to BEV: This is where the magic happens. Instead of simply flattening the 3D data, the model learns to intelligently select the most important features along the verticaldimension for each point. It essentially asks, “For this spot on the map, is the ground-level road marking more important, or is the edge of that building’s roof the better landmark?” This selection process is crucial, as it allows the model to correctly associate features like building facades with their corresponding rooftops in the aerial view. Feature Matching and Pose Estimation: Once both the ground and aerial views are represented as 2D point planes with rich feature descriptors, the model computes the similarity between them. It then samples a sparse set of the most confident matches and uses a classic geometric algorithm called Procrustes alignment to calculate the precise 3-DoFpose. Unprecedented Performance and Interpretability The results speak for themselves. On the challenging VIGOR dataset, which includes images from different cities in its cross-area test, FG2 reduced the mean localization error by 28% compared to the previous best method. It also demonstrated superior generalization capabilities on the KITTI dataset, a staple in autonomous driving research. Perhaps more importantly, the FG2 model offers a new level of transparency. By visualizing the matched points, the researchers showed that the model learns semantically consistent correspondences without being explicitly told to. For example, the system correctly matches zebra crossings, road markings, and even building facades in the ground view to their corresponding locations on the aerial map. This interpretability is extremenly valuable for building trust in safety-critical autonomous systems. “A Clearer Path” for Autonomous Navigation The FG2 method represents a significant leap forward in fine-grained visual localization. By developing a model that intelligently selects and matches features in a way that mirrors human intuition, the EPFL researchers have not only shattered previous accuracy records but also made the decision-making process of the AI more interpretable. This work paves the way for more robust and reliable navigation systems for autonomous vehicles, drones, and robots, bringing us one step closer to a future where machines can confidently navigate our world, even when GPS fails them. Check out the Paper. All credit for this research goes to the researchers of this project. Also, feel free to follow us on Twitter and don’t forget to join our 100k+ ML SubReddit and Subscribe to our Newsletter. Jean-marc MommessinJean-marc is a successful AI business executive .He leads and accelerates growth for AI powered solutions and started a computer vision company in 2006. He is a recognized speaker at AI conferences and has an MBA from Stanford.Jean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/AI-Generated Ad Created with Google’s Veo3 Airs During NBA Finals, Slashing Production Costs by 95%Jean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/Highlighted at CVPR 2025: Google DeepMind’s ‘Motion Prompting’ Paper Unlocks Granular Video ControlJean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/Snowflake Charts New AI Territory: Cortex AISQL & Snowflake Intelligence Poised to Reshape Data AnalyticsJean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/Exclusive Talk: Joey Conway of NVIDIA on Llama Nemotron Ultra and Open Source Models #epfl #researchers #unveil #fg2 #cvpr

Learn GameDev with Unity, Unreal, GameMaker, Blender and C# Humble Bundle / News / June 11, 2025 / The Learn GameDev with Unity, Godot, Unreal, GameMaker, Blender and C# Humble Bundle from Zenva is now available. Each game engine comes with 5 or more courses covering all aspects of game development. This bundle joins the No-Code No-Problem Develop bundle and the Big Bang Unreal Unity and Godot bundle already live on Humble. As with most Humble Bundles, this one is organized into tiers: 1$ Tier Intro to Godot 4 Game DevelopmentIntro to the Game Development Industry Makes No Sense Tier Explore Audio for Godot 4 Games UV Mapping in Blender for Beginners UI/UX for Game Design 25$ Tier Godot 4 Mini-ProjectsCreate a Micro Turn-Based RPG in Godot3D Action-Adventure Game in Godot – Unit 1 – Characters Intro to Visual Shaders in Godot 4 Learn Game Optimization for Godot 4 Coin Collector Game – Godot Mobile Projects Unreal Engine Mini-Projects Intro to Unreal Engine Game Development Create a Racing Game in Unreal Engine The Complete Unreal Engine C++ Course – Build an FPS Create a Turn-Based Mini RPG in Unreal Engine Build a 2.5D Farming RPG with Unreal Engine Intro to Game Development with Unity Unity Mini-Projects – C# Fundamentals Explore Game Optimization in Unity 6 Intro to ECS for Unity 6 Build an Arcade Kart Racing Game in Unity Construct a Mobile Physics Game in Unity Intro to Particle Systems for Unity Games Intro to Game Development with GameMaker Create a Complete 2D Action RPG in GameMaker Build a Real-Time Strategy Mini-Game with GameMaker Develop an Idle Clicker from Scratch in GameMaker Make a Mini Turn-Based RPG from Scratch in GameMaker The Comprehensive Introduction to C# Programming Build a Complete Mini 2D Game Engine with C# Learn 3D Modeling with Blender from Scratch Intro to Rigging Models in Blender MagicaVoxel for Beginners – Create Voxel Game Assets Prompt Engineering for Game Developers You can learn more about the Learn GameDev with Unity, Godot, Unreal, GameMaker, Blender and C# Humble Bundle in the video below. Using links on this page to purchase the bundle helps support GFS #learn #gamedev #with #unity #unreal

Who knows where branding will go in the future? However, for many of us working in the creative industries, it's our job to know. So it's something we need to start talking about, and Frontify Futures wants to be the platform where that conversation unfolds. This ambitious new thought leadership initiative from Frontify brings together an extraordinary coalition of voices—CMOs who've scaled global brands, creative leaders reimagining possibilities, strategy directors pioneering new approaches, and cultural forecasters mapping emerging opportunities—to explore how effectiveness, innovation, and scale will shape tomorrow's brand-building landscape. But Frontify Futures isn't just another content platform. Excitingly, from a design perspective, it's also a living experiment in what brand identity can become when technology meets craft, when systems embrace chaos, and when the future itself becomes a design material. Endless variation What makes Frontify Futures' typography unique isn't just its custom foundation: it's how that foundation enables endless variation and evolution. This was primarily achieved, reveals developer and digital art director Daniel Powell, by building bespoke tools for the project. "Rather than rely solely on streamlined tools built for speed and production, we started building our own," he explains. "The first was a node-based design tool that takes our custom Frame and Hairline fonts as a base and uses them as the foundations for our type generator. With it, we can generate unique type variations for each content strand—each article, even—and create both static and animated type, exportable as video or rendered live in the browser." Each of these tools included what Daniel calls a "chaos element: a small but intentional glitch in the system. A microstatement about the nature of the future: that it can be anticipated but never fully known. It's our way of keeping gesture alive inside the system." One of the clearest examples of this is the colour palette generator. "It samples from a dynamic photo grid tied to a rotating colour wheel that completes one full revolution per year," Daniel explains. "But here's the twist: wind speed and direction in St. Gallen, Switzerland—Frontify's HQ—nudges the wheel unpredictably off-centre. It's a subtle, living mechanic; each article contains a log of the wind data in its code as a kind of Easter Egg." Another favourite of Daniel's—yet to be released—is an expanded version of Conway's Game of Life. "It's been running continuously for over a month now, evolving patterns used in one of the content strand headers," he reveals. "The designer becomes a kind of photographer, capturing moments from a petri dish of generative motion." Core Philosophy In developing this unique identity, two phrases stood out to Daniel as guiding lights from the outset. The first was, 'We will show, not tell.' "This became the foundation for how we approached the identity," recalls Daniel. "It had to feel like a playground: open, experimental, and fluid. Not overly precious or prescriptive. A system the Frontify team could truly own, shape, and evolve. A platform, not a final product. A foundation, just as the future is always built on the past." The second guiding phrase, pulled directly from Frontify's rebrand materials, felt like "a call to action," says Daniel. "'Gestural and geometric. Human and machine. Art and science.' It's a tension that feels especially relevant in the creative industries today. As technology accelerates, we ask ourselves: how do we still hold onto our craft? What does it mean to be expressive in an increasingly systemised world?" Stripped back and skeletal typography The identity that Daniel and his team created reflects these themes through typography that literally embodies the platform's core philosophy. It really started from this idea of the past being built upon the 'foundations' of the past," he explains. "At the time Frontify Futures was being created, Frontify itself was going through a rebrand. With that, they'd started using a new variable typeface called Cranny, a custom cut of Azurio by Narrow Type." Daniel's team took Cranny and "pushed it into a stripped-back and almost skeletal take". The result was Crany-Frame and Crany-Hairline. "These fonts then served as our base scaffolding," he continues. "They were never seen in design, but instead, we applied decoration them to produce new typefaces for each content strand, giving the identity the space to grow and allow new ideas and shapes to form." As Daniel saw it, the demands on the typeface were pretty simple. "It needed to set an atmosphere. We needed it needed to feel alive. We wanted it to be something shifting and repositioning. And so, while we have a bunch of static cuts of each base style, we rarely use them; the typefaces you see on the website and social only exist at the moment as a string of parameters to create a general style that we use to create live animating versions of the font generated on the fly." In addition to setting the atmosphere, it needed to be extremely flexible and feature live inputs, as a significant part of the branding is about the unpredictability of the future. "So Daniel's team built in those aforementioned "chaos moments where everything from user interaction to live windspeeds can affect the font." Design Process The process of creating the typefaces is a fascinating one. "We started by working with the custom cut of Azuriofrom Narrow Type. We then redrew it to take inspiration from how a frame and a hairline could be produced from this original cut. From there, we built a type generation tool that uses them as a base. "It's a custom node-based system that lets us really get in there and play with the overlays for everything from grid-sizing, shapes and timing for the animation," he outlines. "We used this tool to design the variants for different content strands. We weren't just designing letterforms; we were designing a comprehensive toolset that could evolve in tandem with the content. "That became a big part of the process: designing systems that designers could actually use, not just look at; again, it was a wider conversation and concept around the future and how designers and machines can work together." In short, the evolution of the typeface system reflects the platform's broader commitment to continuous growth and adaptation." The whole idea was to make something open enough to keep building on," Daniel stresses. "We've already got tools in place to generate new weights, shapes and animated variants, and the tool itself still has a ton of unused functionality. "I can see that growing as new content strands emerge; we'll keep adapting the type with them," he adds. "It's less about version numbers and more about ongoing movement. The system's alive; that's the point. A provocation for the industry In this context, the Frontify Futures identity represents more than smart visual branding; it's also a manifesto for how creative systems might evolve in an age of increasing automation and systematisation. By building unpredictability into their tools, embracing the tension between human craft and machine precision, and creating systems that grow and adapt rather than merely scale, Daniel and the Frontify team have created something that feels genuinely forward-looking. For creatives grappling with similar questions about the future of their craft, Frontify Futures offers both inspiration and practical demonstration. It shows how brands can remain human while embracing technological capability, how systems can be both consistent and surprising, and how the future itself can become a creative medium. This clever approach suggests that the future of branding lies not in choosing between human creativity and systematic efficiency but in finding new ways to make them work together, creating something neither could achieve alone. #inside #thinking #behind #frontify #futures039

DoorsChristian Marclay Institute of Contemporary Art Boston Through September 1, 2025Brooklyn Museum Through April 12, 2026On the screen, a movie clip plays of a character entering through a door to leave out another. It cuts to another clip of someone else doing the same thing over and over, all sourced from a panoply of Western cinema. The audience, sitting for an unknown amount of time, watches this shape-shifting protagonist from different cultural periods come and go, as the film endlessly loops. So goes Christian Marclay’s latest single-channel film, Doors, currently exhibited for the first time in the United States at the Institute of Contemporary Art Boston.. Assembled over ten years, the film is a dizzying feat, a carefully crafted montage of film clips revolving around the simple premise of someone entering through a door and then leaving out a door. In the exhibition, Marclay writes, “Doors are fascinating objects, rich with symbolism.” Here, he shows hundreds of them, examining through film how the simple act of moving through a threshold multiplied endlessly creates a profoundly new reading of what said threshold signifies. On paper, this may sound like an extremely jarring experience. But Marclay—a visual artist, composer, and DJ whose previous works such as The Clockinvolved similar mega-montages of disparate film clips—has a sensitive touch. The sequences feel incredibly smooth, the montage carefully constructed to mimic continuity as closely as possible. This is even more impressive when one imagines the constraints that a door’s movement offers; it must open and close a certain direction, with particular types of hinges or means of swinging. It makes the seamlessness of the film all the more fascinating to dissect. When a tiny wooden doorframe cuts to a large double steel door, my brain had no issue at all registering a sense of continued motion through the frame—a form of cinematic magic. Christian Marclay, Doors, 2022. Single-channel video projection. Watching the clips, there seemed to be no discernible meta narrative—simply movement through doors. Nevertheless, Marclay is a master of controlling tone. Though the relentlessness of watching the loops does create an overall feeling of tension that the film is clearly playing on, there are often moments of levity that interrupt, giving visitors a chance to breathe. The pacing too, swings from a person rushing in and out, to a slow stroll between doors in a corridor. It leaves one musing on just how ubiquitous this simple action is, and how mutable these simple acts of pulling a door and stepping inside can be. Sometimes mundane, sometimes thrilling, sometimes in anticipation, sometimes in search—Doors invites us to reflect on our own interaction with these objects, and with the very act of stepping through a doorframe. Much of the experience rests on the soundscape and music, which is equally—if not more heavily—important in creating the transition across clips. Marclay’s previous work leaned heavily on his interest in aural media; this added dimension only enriches Doors and elevates it beyond a formal visual study of clips that match each other. The film bleeds music from one scene to another, sometimes prematurely, to make believable the movement of one character across multiple movies. This overlap of sounds is essentially an echo of the space we left behind and are entering into. We as the audience almost believe—even if just for a second—that the transition is real. The effect is powerful and calls to mind several references. No doubt Doors owes some degree of inspiration to the lineage of surrealist art, perhaps in the work of Magritte or Duchamp. For those steeped in architecture, one may think of Bernard Tschumi’s Manhattan Transcripts, where his transcriptions of events, spaces, and movements similarly both shatter and call to attention simple spatial sequences. One may also be reminded of the work of Situationist International, particularly the psychogeography of Guy Debord. I confess that my first thought was theequally famous door-chase scene in Monsters, Inc. But regardless of what corollaries one may conjure, Doors has a wholly unique feel. It is simplistic and singular in constructing its webbed world. Installation view, Christian Marclay: Doors, the Institute of Contemporary Art/Boston, 2025.But what exactly are we to take away from this world? In an interview with Artforum, Marclay declares, “I’m building in people’s minds an architecture in which to get lost.” The clip evokes a certain act of labyrinthian mapping—or perhaps a mode of perpetual resetting. I began to imagine this almost as a non-Euclidean enfilade of sorts where each room invites you to quickly grasp a new environment and then very quickly anticipate what may be in the next. With the understanding that you can’t backtrack, and the unpredictability of the next door taking you anywhere, the film holds you in total suspense. The production of new spaces and new architecture is activated all at once in the moment someone steps into a new doorway. All of this is without even mentioning the chosen films themselves. There is a degree to which the pop-culture element of Marclay’s work makes certain moments click—I can’t help but laugh as I watch Adam Sandler in Punch Drunk Love exit a door and emerge as Bette Davis in All About Eve. But to a degree, I also see the references being secondary, and certainly unneeded to understand the visceral experience Marclay crafts. It helps that, aside from a couple of jarring character movements or one-off spoken jokes, the movement is repetitive and universal. Doors runs on a continuous loop. I sat watching for just under an hour before convincing myself that I would never find any appropriate or correct time to leave. Instead, I could sit endlessly and reflect on each character movement, each new reveal of a room. Is the door the most important architectural element in creating space? Marclay makes a strong case for it with this piece. Harish Krishnamoorthy is an architectural and urban designer based in Cambridge, Massachusetts, and Bangalore, India. He is an editor at PAIRS. #christian #marclay #explores #universe #thresholds

Ivy Grant, SVP of Strategy & Operations, Twilio June 13, 20255 Min Readpeshkova via alamy stockAsk technologists and enterprise leaders what they hope AI will deliver, and most will land on some iteration of the "T" word: transformation. No surprise, AI and its “cooler than you” cousin, generative AI, have been hyped nonstop for the past 24 months. But therein lies the problem. Many organizations are rushing to implement AI without a grasp on the return on investment, leading to high spend and low impact. Without anchoring AI to clear friction points and acceleration opportunities, companies invite fatigue, anxiety and competitive risk. Two-thirds of C-suite execs say GenAI has created tension and division within their organizations; nearly half say it’s “tearing their company apart.” Mostreport adoption challenges; more than a third call it a massive disappointment. While AI's potential is irrefutable, companies need to reject the narrative of AI as a standalone strategy or transformational savior. Its true power is as a catalyst to amplify what already works and surface what could. Here are three principles to make that happen. 1. Start with friction, not function Many enterprises struggle with where to start when integrating AI. My advice: Start where the pain is greatest. Identify the processes that create the most friction and work backward from there. AI is a tool, not a solution. By mapping real pain points to AI use cases, you can hone investments to the ripest fruit rather than simply where it hangs at the lowest. Related:For example, one of our top sources of customer pain was troubleshooting undeliverable messages, which forced users to sift through error code documentation. To solve this, an AI assistant was introduced to detect anomalies, explain causes in natural language, and guide customers toward resolution. We achieved a 97% real-time resolution rate through a blend of conversational AI and live support. Most companies have long-standing friction points that support teams routinely explain. Or that you’ve developed organizational calluses over; problems considered “just the cost of doing business.” GenAI allows leaders to revisit these areas and reimagine what’s possible. 2. The need forspeed We hear stories of leaders pushing an “all or nothing” version of AI transformation: Use AI to cut functional headcount or die. Rather than leading with a “stick” through wholesale transformation mandates or threats to budgets, we must recognize AI implementation as a fundamental culture change. Just as you wouldn't expect to transform your company culture overnight by edict, it's unreasonable to expect something different from your AI transformation. Related:Some leaders have a tendency to move faster than the innovation ability or comfort level of their people. Most functional leads aren’t obstinate in their slow adoption of AI tools, their long-held beliefs to run a process or to assess risks. We hired these leaders for their decades of experience in “what good looks like” and deep expertise in incremental improvements; then we expect them to suddenly define a futuristic vision that challenges their own beliefs. As executive leaders, we must give grace, space and plenty of “carrots” -- incentives, training, and support resources -- to help them reimagine complex workflows with AI. And, we must recognize that AI has the ability to make progress in ways that may not immediately create cost efficiencies, such as for operational improvements that require data cleansing, deep analytics, forecasting, dynamic pricing, and signal sensing. These aren’t the sexy parts of AI, but they’re the types of issues that require superhuman intelligence and complex problem-solving that AI was made for. 3. A flywheel of acceleration The other transformation that AI should support is creating faster and broader “test and learn” cycles. AI implementation is not a linear process with start here and end there. Organizations that want to leverage AI as a competitive advantage should establish use cases where AI can break down company silos and act as a catalyst to identify the next opportunity. That identifies the next as a flywheel of acceleration. This flywheel builds on accumulated learnings, making small successes into larger wins while avoiding costly AI disasters from rushed implementation. Related:For example, at Twilio we are building a customer intelligence platform that analyzes thousands of conversations to identify patterns and drive insights. If we see multiple customers mention a competitor's pricing, it could signal a take-out campaign. What once took weeks to recognize and escalate can now be done in near real-time and used for highly coordinated activations across marketing, product, sales, and other teams. With every AI acceleration win, we uncover more places to improve hand-offs, activation speed, and business decision-making. That flywheel of innovation is how true AI transformation begins to drive impactful business outcomes. Ideas to Fuel Your AI Strategy Organizations can accelerate their AI implementations through these simple shifts in approach: Revisit your long-standing friction points, both customer-facing and internal, across your organization -- particularly explore the ones you thought were “the cost of doing business” Don’t just look for where AI can reduce manual processes, but find the highly complex problems and start experimenting Support your functional experts with AI-driven training, resources, tools, and incentives to help them challenge their long-held beliefs about what works for the future Treat AI implementation as a cultural change that requires time, experimentation, learning, and carrots Recognize that transformation starts with a flywheel of acceleration, where each new experiment can lead to the next big discovery The most impactful AI implementations don’t rush transformation; they strategically accelerate core capabilities and unlock new ones to drive measurable change. About the AuthorIvy GrantSVP of Strategy & Operations, Twilio Ivy Grant is Senior Vice President of Strategy & Operations at Twilio where she leads strategic planning, enterprise analytics, M&A Integration and is responsible for driving transformational initiatives that enable Twilio to continuously improve its operations. Prior to Twilio, Ivy’s career has balanced senior roles in strategy consulting at McKinsey & Company, Edelman and PwC with customer-centric operational roles at Walmart, Polo Ralph Lauren and tech startup Eversight Labs. She loves solo international travel, hugging exotic animals and boxing. Ivy has an MBA from NYU’s Stern School of Business and a BS in Applied Economics from Cornell University. See more from Ivy GrantReportsMore ReportsNever Miss a Beat: Get a snapshot of the issues affecting the IT industry straight to your inbox.SIGN-UPYou May Also Like #why #companies #need #reimagine #their

Architizer’s Vision Awards are back! The global awards program honors the world’s best architectural concepts, ideas and imagery. Submit your work ahead of the Final Entry Deadline on July 11th! Behind the term “paper architecture” hides a strange paradox: the radical act of building without, well, building. Paper architecture is usually associated with speculative design projects, presented in the form of drawings, which can also be considered art pieces. However, even though it is often dismissed as a mere utopian or academic exercise, paper architecture has historically served as a powerful form of protest, advocating against political regimes, architectural orthodoxy or cultural stagnation. Unbound by real-world limitations such as materials, regulations and budgets, paper architects are free to focus on the messages behind their designs rather than constantly striving for their implementation. In parallel, due to its subtleness, paper architecture has become a platform that enables radical commentary via a rather “safe” medium. Instead of relying on more traditional forms of protestthis powerful visual language, combined with scrupulous aesthetics and imagination can start a more formidable “behind-the-scenes rebellion”. Unearthing Nostalgia by Bruno Xavier & Michelle Ashley Ovanessians, A+ Vision Awards, 2023 Perhaps the most well-known paper architects, Archigram was a radical British collective that was formed in the 1960s in London. Their work Walking City or Plug-In City showcased visions of a playful, technologically driven architecture that deeply contrasted and, by extent, protested against the rigid regime of post-war modernism and its extensive bureaucracy. This pop-art-style architecture served as a powerful critique towards the saturated idea of functional monotony. Additionally, the Russian architect, artist, and curator, Yuri Avvakumuv introduced the term “paper architecture” within the restrictive cultural and political climate of late Soviet Russia. Having to deal with heavy censorship, Avvakumuv turned to competitions and speculative drawings in an attempt resist that dominance of totalitarian architecture. Poetic, deeply allegorical and oftentimes ironic architectural renderings, critiqued the bureaucratic sterility of Soviet planning and the state-mandated architectural principles architects had to follow. Consequently, this profound demonstration of un-built architecture within the specific setting, turned into a collective cultural wave that advocated artistic autonomy and expression for the built environment. Klothos’ Loom of Memories by Ioana Alexandra Enache, A+ Vision Awards, 2023 The Amerian architect Lebbeus Woods was also one of the most intellectually intense practitioners of paper architecture, whose work touches upon global issues on war zones and urban trauma. His imaginative, post-apocalyptic cities opened up discussions for rebuilding after destruction. Works such as War and Architecture and Underground Berlin, albeit “dystopic”, acted as moral propositions, exploring potential reconstructions that would “heal” these cities. Through his drawings, he rigorously investigated and examined scenarios of ethical rebuilding, refusing to comply to the principles of popular commerce, and instead creating a new architectural practice of political resistance. Finally, operating within a very male-dominated world, Zaha Hadid’s earlier work — particularly on Malevich — served as a protesting tool on multiple levels. Influenced by Suprematist aesthetics, her bold, dynamic compositions stood against the formal conservatism of architectural ideas, where the design must always yield to gravity and function. In parallel, her considerable influence and dominance on the field challenged long-standing norms and served as a powerful counter-narrative against the gender biases that sidelined women in design. Ultimately, her images – part blueprints, part paintings – not only proved that architecture could be unapologetically visionary and abstract but also that materializing it is not as impossible as one would think.My Bedroom by Daniel Wing-Hou Ho, A+ Vision Awards, 2023 Even though paper architecture began as a medium of rebellion against architectural convention in the mid-20th century, it remains, until today, a vital tool for activism and social justice. Operating in the digital age, social media and digital platforms have amplified its reach, also having given it different visual forms such as digital collages, speculative renders, gifs, reels and interactive visual narratives. What was once a flyer, a journal or a newspaper extract, can now be found in open-source repositories, standing against authoritarianism, climate inaction, political violence and systemic inequality. Groups such as Forensic Architecture carry out multidisciplinary research, investigating cases of state violence and violations of human rights through rigorous mapping and speculative visualization. Additionally, competitions such as the eVolo Skyscraper or platforms like ArchOutLoud and Design Earth offer opportunities and space for architects to tackle environmental concerns and dramatize the urgency of inaction. Imaginative floating habitats, food cities, biodegradable megastructures etc. instigate debates and conversations through the form of environmental storytelling. The Stamper Battery by By William du Toit, A+ Vision Awards, 2023 Despite being often condemned as “unbuildable”, “impractical” or even “escapist,” paper architecture acts as a counterweight to the discipline’s increasing instrumentalization as merely a functional or commercial enterprise. In architecture schools it is used as a prompt for “thinking differently” and a tool for “critiquing without compromise”. Above all however, paper architecture matters because it keeps architecture ethically alive. It reminds architects to ask the uncomfortable questions: how should we design for environmental sustainability, migrancy or social equality, instead of focusing on profit, convenience and spectacle? Similar to a moral compass or speculative mirror, unbuilt visions can trigger political, social and environmental turns that reshape not just how we build, but why we build at all. Architizer’s Vision Awards are back! The global awards program honors the world’s best architectural concepts, ideas and imagery. Submit your work ahead of the Final Entry Deadline on July 11th! Featured Image: Into the Void: Fragmented Time, Space, Memory, and Decay in Hiroshima by Victoria Wong, A+ Vision Awards 2023 The post Paper Architecture: From Soviet Subversion to Zaha’s Suprematism appeared first on Journal. #paper #architecture #soviet #subversion #zahas