At GTC Paris — held alongside VivaTech, Europe’s largest tech event — NVIDIA founder and CEO Jensen Huang delivered a clear message: Europe isn’t just adopting AI — it’s building it. “We now have a new industry, an AI industry, and it’s now part of the new infrastructure, called intelligence infrastructure, that will be used by every country, every society,” Huang said, addressing an audience gathered online and at the iconic Dôme de Paris. From exponential inference growth to quantum breakthroughs, and from infrastructure to industry, agentic AI to robotics, Huang outlined how the region is laying the groundwork for an AI-powered future. A New Industrial Revolution At the heart of this transformation, Huang explained, are systems like GB200 NVL72 — “one giant GPU” and NVIDIA’s most powerful AI platform yet — now in full production and powering everything from sovereign models to quantum computing. “This machine was designed to be a thinking machine, a thinking machine, in the sense that it reasons, it plans, it spends a lot of time talking to itself,” Huang said, walking the audience through the size and scale of these machines and their performance. At GTC Paris, Huang showed audience members the innards of some of NVIDIA’s latest hardware. There’s more coming, with Huang saying NVIDIA’s partners are now producing 1,000 GB200 systems a week, “and this is just the beginning.” He walked the audience through a range of available systems ranging from the tiny NVIDIA DGX Spark to rack-mounted RTX PRO Servers. Huang explained that NVIDIA is working to help countries use technologies like these to build both AI infrastructure — services built for third parties to use and innovate on — and AI factories, which companies build for their own use, to generate revenue. NVIDIA is partnering with European governments, telcos and cloud providers to deploy NVIDIA technologies across the region. NVIDIA is also expanding its network of technology centers across Europe — including new hubs in Finland, Germany, Spain, Italy and the U.K. — to accelerate skills development and quantum growth. Quantum Meets Classical Europe’s quantum ambitions just got a boost. The NVIDIA CUDA-Q platform is live on Denmark’s Gefion supercomputer, opening new possibilities for hybrid AI and quantum engineering. In addition, Huang announced that CUDA-Q is now available on NVIDIA Grace Blackwell systems. Across the continent, NVIDIA is partnering with supercomputing centers and quantum hardware builders to advance hybrid quantum-AI research and accelerate quantum error correction. “Quantum computing is reaching an inflection point,” Huang said. “We are within reach of being able to apply quantum computing, quantum classical computing, in areas that can solve some interesting problems in the coming years.” Sovereign Models, Smarter Agents European developers want more control over their models. Enter NVIDIA Nemotron, designed to help build large language models tuned to local needs. “And so now you know that you have access to an enhanced open model that is still open, that is top of the leader chart,” Huang said. These models will be coming to Perplexity, a reasoning search engine, enabling secure, multilingual AI deployment across Europe. “You can now ask and get questions answered in the language, in the culture, in the sensibility of your country,” Huang said. Huang explained how NVIDIA is helping countries across Europe build AI infrastructure. Every company will build its own agents, Huang said. To help create those agents, Huang introduced a suite of agentic AI blueprints, including an Agentic AI Safety blueprint for enterprises and governments. The new NVIDIA NeMo Agent toolkit and NVIDIA AI Blueprint for building data flywheels further accelerate the development of safe, high-performing AI agents. To help deploy these agents, NVIDIA is partnering with European governments, telcos and cloud providers to deploy the DGX Cloud Lepton platform across the region, providing instant access to accelerated computing capacity. “One model architecture, one deployment, and you can run it anywhere,” Huang said, adding that Lepton is now integrated with Hugging Face, giving developers direct access to global compute. The Industrial Cloud Goes Live AI isn’t just virtual. It’s powering physical systems, too, sparking a new industrial revolution. “We’re working on industrial AI with one company after another,” Huang said, describing work to build digital twins based on the NVIDIA Omniverse platform with companies across the continent. Huang explained that everything he showed during his keynote was “computer simulation, not animation” and that it looks beautiful because “it turns out the world is beautiful, and it turns out math is beautiful.” To further this work, Huang announced NVIDIA is launching the world’s first industrial AI cloud — to be built in Germany — to help Europe’s manufacturers simulate, automate and optimize at scale. “Soon, everything that moves will be robotic,” Huang said. “And the car is the next one.” NVIDIA DRIVE, NVIDIA’s full-stack AV platform, is now in production to accelerate the large-scale deployment of safe, intelligent transportation. And to show what’s coming next, Huang was joined on stage by Grek, a pint-sized robot, as Huang talked about how NVIDIA partnered with DeepMind and Disney to build Newton, the world’s most advanced physics training engine for robotics. The Next Wave The next wave of AI has begun — and it’s exponential, Huang explained. “We have physical robots, and we have information robots. We call them agents,” Huang said. “The technology necessary to teach a robot to manipulate, to simulate — and of course, the manifestation of an incredible robot — is now right in front of us.” This new era of AI is being driven by a surge in inference workloads. “The number of people using inference has gone from 8 million to 800 million — 100x in just a couple of years,” Huang said. To meet this demand, Huang emphasized the need for a new kind of computer: “We need a special computer designed for thinking, designed for reasoning. And that’s what Blackwell is — a thinking machine.” Huang and Grek, as he explained how AI is driving advancements in robotics. These Blackwell-powered systems will live in a new class of data centers — AI factories — built to generate tokens, the raw material of modern intelligence. “These AI factories are going to generate tokens,” Huang said, turning to Grek with a smile. “And these tokens are going to become your food, little Grek.” With that, the keynote closed on a bold vision: a future powered by sovereign infrastructure, agentic AI, robotics — and exponential inference — all built in partnership with Europe. Watch the NVIDIA GTC Paris keynote from Huang at VivaTech and explore GTC Paris sessions.

As a global labor shortage leaves 50 million positions unfilled across industries like manufacturing and logistics, Hexagon — a global leader in measurement technologies — is developing humanoid robots that can lend a helping hand. Industrial sectors depend on skilled workers to perform a variety of error-prone tasks, including operating high-precision scanners for reality capture — the process of capturing digital data to replicate the real world in simulation. At the Hexagon LIVE Global conference, Hexagon’s robotics division today unveiled AEON — a new humanoid robot built in collaboration with NVIDIA that’s engineered to perform a wide range of industrial applications, from manipulation and asset inspection to reality capture and operator support. Hexagon plans to deploy AEON across automotive, transportation, aerospace, manufacturing, warehousing and logistics. Future use cases for AEON include: Reality capture, which involves automatic planning and then scanning of assets, industrial spaces and environments to generate 3D models. The captured data is then used for advanced visualization and collaboration in the Hexagon Digital Reality (HxDR) platform powering Hexagon Reality Cloud Studio (RCS). Manipulation tasks, such as sorting and moving parts in various industrial and manufacturing settings. Part inspection, which includes checking parts for defects or ensuring adherence to specifications. Industrial operations, including highly dexterous technical tasks like machinery operations, teleoperation and scanning parts using high-end scanners. “The age of general-purpose robotics has arrived, due to technological advances in simulation and physical AI,” said Deepu Talla, vice president of robotics and edge AI at NVIDIA. “Hexagon’s new AEON humanoid embodies the integration of NVIDIA’s three-computer robotics platform and is making a significant leap forward in addressing industry-critical challenges.” Using NVIDIA’s Three Computers to Develop AEON  To build AEON, Hexagon used NVIDIA’s three computers for developing and deploying physical AI systems. They include AI supercomputers to train and fine-tune powerful foundation models; the NVIDIA Omniverse platform, running on NVIDIA OVX servers, for testing and optimizing these models in simulation environments using real and physically based synthetic data; and NVIDIA IGX Thor robotic computers to run the models. Hexagon is exploring using NVIDIA accelerated computing to post-train the NVIDIA Isaac GR00T N1.5 open foundation model to improve robot reasoning and policies, and tapping Isaac GR00T-Mimic to generate vast amounts of synthetic motion data from a few human demonstrations. AEON learns many of its skills through simulations powered by the NVIDIA Isaac platform. Hexagon uses NVIDIA Isaac Sim, a reference robotic simulation application built on Omniverse, to simulate complex robot actions like navigation, locomotion and manipulation. These skills are then refined using reinforcement learning in NVIDIA Isaac Lab, an open-source framework for robot learning. https://blogs.nvidia.com/wp-content/uploads/2025/06/Copy-of-robotics-hxgn-live-blog-1920x1080-1.mp4 This simulation-first approach enabled Hexagon to fast-track its robotic development, allowing AEON to master core locomotion skills in just 2-3 weeks — rather than 5-6 months — before real-world deployment. In addition, AEON taps into NVIDIA Jetson Orin onboard computers to autonomously move, navigate and perform its tasks in real time, enhancing its speed and accuracy while operating in complex and dynamic environments. Hexagon is also planning to upgrade AEON with NVIDIA IGX Thor to enable functional safety for collaborative operation. “Our goal with AEON was to design an intelligent, autonomous humanoid that addresses the real-world challenges industrial leaders have shared with us over the past months,” said Arnaud Robert, president of Hexagon’s robotics division. “By leveraging NVIDIA’s full-stack robotics and simulation platforms, we were able to deliver a best-in-class humanoid that combines advanced mechatronics, multimodal sensor fusion and real-time AI.” Data Comes to Life Through Reality Capture and Omniverse Integration  AEON will be piloted in factories and warehouses to scan everything from small precision parts and automotive components to large assembly lines and storage areas. Captured data comes to life in RCS, a platform that allows users to collaborate, visualize and share reality-capture data by tapping into HxDR and NVIDIA Omniverse running in the cloud. This removes the constraint of local infrastructure. “Digital twins offer clear advantages, but adoption has been challenging in several industries,” said Lucas Heinzle, vice president of research and development at Hexagon’s robotics division. “AEON’s sophisticated sensor suite enables the integration of reality data capture with NVIDIA Omniverse, streamlining workflows for our customers and moving us closer to making digital twins a mainstream tool for collaboration and innovation.” AEON’s Next Steps By adopting the OpenUSD framework and developing on Omniverse, Hexagon can generate high-fidelity digital twins from scanned data — establishing a data flywheel to continuously train AEON. This latest work with Hexagon is helping shape the future of physical AI — delivering scalable, efficient solutions to address the challenges faced by industries that depend on capturing real-world data. Watch the Hexagon LIVE keynote, explore presentations and read more about AEON. All imagery courtesy of Hexagon.

IBM Plans Large-Scale Fault-Tolerant Quantum Computer by 2029 By John P. Mello Jr. June 11, 2025 5:00 AM PT IBM unveiled its plan to build IBM Quantum Starling, shown in this rendering. Starling is expected to be the first large-scale, fault-tolerant quantum system. (Image Credit: IBM) ADVERTISEMENT Enterprise IT Lead Generation Services Fuel Your Pipeline. Close More Deals. Our full-service marketing programs deliver sales-ready leads. 100% Satisfaction Guarantee! Learn more. IBM revealed Tuesday its roadmap for bringing a large-scale, fault-tolerant quantum computer, IBM Quantum Starling, online by 2029, which is significantly earlier than many technologists thought possible. The company predicts that when its new Starling computer is up and running, it will be capable of performing 20,000 times more operations than today’s quantum computers — a computational state so vast it would require the memory of more than a quindecillion (10⁴⁸) of the world’s most powerful supercomputers to represent. “IBM is charting the next frontier in quantum computing,” Big Blue CEO Arvind Krishna said in a statement. “Our expertise across mathematics, physics, and engineering is paving the way for a large-scale, fault-tolerant quantum computer — one that will solve real-world challenges and unlock immense possibilities for business.” IBM’s plan to deliver a fault-tolerant quantum system by 2029 is ambitious but not implausible, especially given the rapid pace of its quantum roadmap and past milestones, observed Ensar Seker, CISO at SOCRadar, a threat intelligence company in Newark, Del. “They’ve consistently met or exceeded their qubit scaling goals, and their emphasis on modularity and error correction indicates they’re tackling the right challenges,” he told TechNewsWorld. “However, moving from thousands to millions of physical qubits with sufficient fidelity remains a steep climb.” A qubit is the fundamental unit of information in quantum computing, capable of representing a zero, a one, or both simultaneously due to quantum superposition. In practice, fault-tolerant quantum computers use clusters of physical qubits working together to form a logical qubit — a more stable unit designed to store quantum information and correct errors in real time. Realistic Roadmap Luke Yang, an equity analyst with Morningstar Research Services in Chicago, believes IBM’s roadmap is realistic. “The exact scale and error correction performance might still change between now and 2029, but overall, the goal is reasonable,” he told TechNewsWorld. “Given its reliability and professionalism, IBM’s bold claim should be taken seriously,” said Enrique Solano, co-CEO and co-founder of Kipu Quantum, a quantum algorithm company with offices in Berlin and Karlsruhe, Germany. “Of course, it may also fail, especially when considering the unpredictability of hardware complexities involved,” he told TechNewsWorld, “but companies like IBM exist for such challenges, and we should all be positively impressed by its current achievements and promised technological roadmap.” Tim Hollebeek, vice president of industry standards at DigiCert, a global digital security company, added: “IBM is a leader in this area, and not normally a company that hypes their news. This is a fast-moving industry, and success is certainly possible.” “IBM is attempting to do something that no one has ever done before and will almost certainly run into challenges,” he told TechNewsWorld, “but at this point, it is largely an engineering scaling exercise, not a research project.” “IBM has demonstrated consistent progress, has committed $30 billion over five years to quantum computing, and the timeline is within the realm of technical feasibility,” noted John Young, COO of Quantum eMotion, a developer of quantum random number generator technology, in Saint-Laurent, Quebec, Canada. “That said,” he told TechNewsWorld, “fault-tolerant in a practical, industrial sense is a very high bar.” Solving the Quantum Error Correction Puzzle To make a quantum computer fault-tolerant, errors need to be corrected so large workloads can be run without faults. In a quantum computer, errors are reduced by clustering physical qubits to form logical qubits, which have lower error rates than the underlying physical qubits. “Error correction is a challenge,” Young said. “Logical qubits require thousands of physical qubits to function reliably. That’s a massive scaling issue.” IBM explained in its announcement that creating increasing numbers of logical qubits capable of executing quantum circuits with as few physical qubits as possible is critical to quantum computing at scale. Until today, a clear path to building such a fault-tolerant system without unrealistic engineering overhead has not been published. Alternative and previous gold-standard, error-correcting codes present fundamental engineering challenges, IBM continued. To scale, they would require an unfeasible number of physical qubits to create enough logical qubits to perform complex operations — necessitating impractical amounts of infrastructure and control electronics. This renders them unlikely to be implemented beyond small-scale experiments and devices. In two research papers released with its roadmap, IBM detailed how it will overcome the challenges of building the large-scale, fault-tolerant architecture needed for a quantum computer. One paper outlines the use of quantum low-density parity check (qLDPC) codes to reduce physical qubit overhead. The other describes methods for decoding errors in real time using conventional computing. According to IBM, a practical fault-tolerant quantum architecture must: Suppress enough errors for useful algorithms to succeed Prepare and measure logical qubits during computation Apply universal instructions to logical qubits Decode measurements from logical qubits in real time and guide subsequent operations Scale modularly across hundreds or thousands of logical qubits Be efficient enough to run meaningful algorithms using realistic energy and infrastructure resources Aside from the technological challenges that quantum computer makers are facing, there may also be some market challenges. “Locating suitable use cases for quantum computers could be the biggest challenge,” Morningstar’s Yang maintained. “Only certain computing workloads, such as random circuit sampling [RCS], can fully unleash the computing power of quantum computers and show their advantage over the traditional supercomputers we have now,” he said. “However, workloads like RCS are not very commercially useful, and we believe commercial relevance is one of the key factors that determine the total market size for quantum computers.” Q-Day Approaching Faster Than Expected For years now, organizations have been told they need to prepare for “Q-Day” — the day a quantum computer will be able to crack all the encryption they use to keep their data secure. This IBM announcement suggests the window for action to protect data may be closing faster than many anticipated. “This absolutely adds urgency and credibility to the security expert guidance on post-quantum encryption being factored into their planning now,” said Dave Krauthamer, field CTO of QuSecure, maker of quantum-safe security solutions, in San Mateo, Calif. “IBM’s move to create a large-scale fault-tolerant quantum computer by 2029 is indicative of the timeline collapsing,” he told TechNewsWorld. “A fault-tolerant quantum computer of this magnitude could be well on the path to crack asymmetric ciphers sooner than anyone thinks.” “Security leaders need to take everything connected to post-quantum encryption as a serious measure and work it into their security plans now — not later,” he said. Roger Grimes, a defense evangelist with KnowBe4, a security awareness training provider in Clearwater, Fla., pointed out that IBM is just the latest in a surge of quantum companies announcing quickly forthcoming computational breakthroughs within a few years. “It leads to the question of whether the U.S. government’s original PQC [post-quantum cryptography] preparation date of 2030 is still a safe date,” he told TechNewsWorld. “It’s starting to feel a lot more risky for any company to wait until 2030 to be prepared against quantum attacks. It also flies in the face of the latest cybersecurity EO [Executive Order] that relaxed PQC preparation rules as compared to Biden’s last EO PQC standard order, which told U.S. agencies to transition to PQC ASAP.” “Most US companies are doing zero to prepare for Q-Day attacks,” he declared. “The latest executive order seems to tell U.S. agencies — and indirectly, all U.S. businesses — that they have more time to prepare. It’s going to cause even more agencies and businesses to be less prepared during a time when it seems multiple quantum computing companies are making significant progress.” “It definitely feels that something is going to give soon,” he said, “and if I were a betting man, and I am, I would bet that most U.S. companies are going to be unprepared for Q-Day on the day Q-Day becomes a reality.” John P. Mello Jr. has been an ECT News Network reporter since 2003. His areas of focus include cybersecurity, IT issues, privacy, e-commerce, social media, artificial intelligence, big data and consumer electronics. He has written and edited for numerous publications, including the Boston Business Journal, the Boston Phoenix, Megapixel.Net and Government Security News. Email John. Leave a Comment Click here to cancel reply. Please sign in to post or reply to a comment. New users create a free account. Related Stories More by John P. Mello Jr. view all More in Emerging Tech

If you’ve ever flown through outer space, at least while watching a documentary or a science fiction film, you’ve seen how artists turn astronomical findings into stunning visuals. But in the process of visualizing data for their latest planetarium show, a production team at New York’s American Museum of Natural History made a surprising discovery of their own: a trillion-and-a-half mile long spiral of material drifting along the edge of our solar system. “So this is a really fun thing that happened,” says Jackie Faherty, the museum’s senior scientist. Last winter, Faherty and her colleagues were beneath the dome of the museum’s Hayden Planetarium, fine-tuning a scene that featured the Oort cloud, the big, thick bubble surrounding our Sun and planets that’s filled with ice and rock and other remnants from the solar system’s infancy. The Oort cloud begins far beyond Neptune, around one and a half light years from the Sun. It has never been directly observed; its existence is inferred from the behavior of long-period comets entering the inner solar system. The cloud is so expansive that the Voyager spacecraft, our most distant probes, would need another 250 years just to reach its inner boundary; to reach the other side, they would need about 30,000 years.  The 30-minute show, Encounters in the Milky Way, narrated by Pedro Pascal, guides audiences on a trip through the galaxy across billions of years. For a section about our nascent solar system, the writing team decided “there’s going to be a fly-by” of the Oort cloud, Faherty says. “But what does our Oort cloud look like?”  To find out, the museum consulted astronomers and turned to David Nesvorný, a scientist at the Southwest Research Institute in San Antonio. He provided his model of the millions of particles believed to make up the Oort cloud, based on extensive observational data. “Everybody said, go talk to Nesvorný. He’s got the best model,” says Faherty. And “everybody told us, ‘There’s structure in the model,’ so we were kind of set up to look for stuff,” she says.  The museum’s technical team began using Nesvorný’s model to simulate how the cloud evolved over time. Later, as the team projected versions of the fly-by scene into the dome, with the camera looking back at the Oort cloud, they saw a familiar shape, one that appears in galaxies, Saturn’s rings, and disks around young stars. “We’re flying away from the Oort cloud and out pops this spiral, a spiral shape to the outside of our solar system,” Faherty marveled. “A huge structure, millions and millions of particles.” She emailed Nesvorný to ask for “more particles,” with a render of the scene attached. “We noticed the spiral of course,” she wrote. “And then he writes me back: ‘what are you talking about, a spiral?’”  While fine-tuning a simulation of the Oort cloud, a vast expanse of ice material leftover from the birth of our Sun, the ‘Encounters in the Milky Way’ production team noticed a very clear shape: a structure made of billions of comets and shaped like a spiral-armed galaxy, seen here in a scene from the final Space Show (curving, dusty S-shape behind the Sun) [Image: © AMNH] More simulations ensued, this time on Pleiades, a powerful NASA supercomputer. In high-performance computer simulations spanning 4.6 billion years, starting from the Solar System’s earliest days, the researchers visualized how the initial icy and rocky ingredients of the Oort cloud began circling the Sun, in the elliptical orbits that are thought to give the cloud its rough disc shape. The simulations also incorporated the physics of the Sun’s gravitational pull, the influences from our Milky Way galaxy, and the movements of the comets themselves.  In each simulation, the spiral persisted. “No one has ever seen the Oort structure like that before,” says Faherty. Nesvorný “has a great quote about this: ‘The math was all there. We just needed the visuals.’”  An illustration of the Kuiper Belt and Oort Cloud in relation to our solar system. [Image: NASA] As the Oort cloud grew with the early solar system, Nesvorný and his colleagues hypothesize that the galactic tide, or the gravitational force from the Milky Way, disrupted the orbits of some comets. Although the Sun pulls these objects inward, the galaxy’s gravity appears to have twisted part of the Oort cloud outward, forming a spiral tilted roughly 30 degrees from the plane of the solar system. “As the galactic tide acts to decouple bodies from the scattered disk it creates a spiral structure in physical space that is roughly 15,000 astronomical units in length,” or around 1.4 trillion miles from one end to the other, the researchers write in a paper that was published in March in the Astrophysical Journal. “The spiral is long-lived and persists in the inner Oort Cloud to the present time.” “The physics makes sense,” says Faherty. “Scientists, we’re amazing at what we do, but it doesn’t mean we can see everything right away.” It helped that the team behind the space show was primed to look for something, says Carter Emmart, the museum’s director of astrovisualization and director of Encounters. Astronomers had described Nesvorný’s model as having “a structure,” which intrigued the team’s artists. “We were also looking for structure so that it wouldn’t just be sort of like a big blob,” he says. “Other models were also revealing this—but they just hadn’t been visualized.” The museum’s attempts to simulate nature date back to its first habitat dioramas in the early 1900s, which brought visitors to places that hadn’t yet been captured by color photos, TV, or the web. The planetarium, a night sky simulator for generations of would-be scientists and astronauts, got its start after financier Charles Hayden bought the museum its first Zeiss projector. The planetarium now boasts one of the world’s few Zeiss Mark IX systems. Still, these days the star projector is rarely used, Emmart says, now that fulldome laser projectors can turn the old static starfield into 3D video running at 60 frames per second. The Hayden boasts six custom-built Christie projectors, part of what the museum’s former president called “the most advanced planetarium ever attempted.”  In about 1.3 million years, the star system Gliese 710 is set to pass directly through our Oort Cloud, an event visualized in a dramatic scene in ‘Encounters in the Milky Way.’ During its flyby, our systems will swap icy comets, flinging some out on new paths. [Image: © AMNH] Emmart recalls how in 1998, when he and other museum leaders were imagining the future of space shows at the Hayden—now with the help of digital projectors and computer graphics—there were questions over how much space they could try to show. “We’re talking about these astronomical data sets we could plot to make the galaxy and the stars,” he says. “Of course, we knew that we would have this star projector, but we really wanted to emphasize astrophysics with this dome video system. I was drawing pictures of this just to get our heads around it and noting the tip of the solar system to the Milky Way is about 60 degrees. And I said, what are we gonna do when we get outside the Milky Way?’ “Then [planetarium’s director] Neil Degrasse Tyson “goes, ‘whoa, whoa, whoa, Carter, we have enough to do. And just plotting the Milky Way, that’s hard enough.’ And I said, ‘well, when we exit the Milky Way and we don’t see any other galaxies, that’s sort of like astronomy in 1920—we thought maybe the entire universe is just a Milky Way.'” “And that kind of led to a chaotic discussion about, well, what other data sets are there for this?” Emmart adds. The museum worked with astronomer Brent Tully, who had mapped 3500 galaxies beyond the Milky Way, in collaboration with the National Center for Super Computing Applications. “That was it,” he says, “and that seemed fantastical.” By the time the first planetarium show opened at the museum’s new Rose Center for Earth and Space in 2000, Tully had broadened his survey “to an amazing” 30,000 galaxies. The Sloan Digital Sky Survey followed—it’s now at data release 18—with six million galaxies. To build the map of the universe that underlies Encounters, the team also relied on data from the European Space Agency’s space observatory, Gaia. Launched in 2013 and powered down in March of this year, Gaia brought an unprecedented precision to our astronomical map, plotting the distance between 1.7 billion stars. To visualize and render the simulated data, Jon Parker, the museum’s lead technical director, relied on Houdini, a 3D animation tool by Toronto-based SideFX. The goal is immersion, “whether it’s in front of the buffalo downstairs, and seeing what those herds were like before we decimated them, to coming in this room and being teleported to space, with an accurate foundation in the science,” Emmart says. “But the art is important, because the art is the way to the soul.”  The museum, he adds, is “a testament to wonder. And I think wonder is a gateway to inspiration, and inspiration is a gateway to motivation.” Three-D visuals aren’t just powerful tools for communicating science, but increasingly crucial for science itself. Software like OpenSpace, an open source simulation tool developed by the museum, along with the growing availability of high-performance computing, are making it easier to build highly detailed visuals of ever larger and more complex collections of data. “Anytime we look, literally, from a different angle at catalogs of astronomical positions, simulations, or exploring the phase space of a complex data set, there is great potential to discover something new,” says Brian R. Kent, an astronomer and director of science communications at National Radio Astronomy Observatory. “There is also a wealth of astronomics tatical data in archives that can be reanalyzed in new ways, leading to new discoveries.” As the instruments grow in size and sophistication, so does the data, and the challenge of understanding it. Like all scientists, astronomers are facing a deluge of data, ranging from gamma rays and X-rays to ultraviolet, optical, infrared, and radio bands. Our Oort cloud (center), a shell of icy bodies that surrounds the solar system and extends one-and-a-half light years in every direction, is shown in this scene from ‘Encounters in the Milky Way’ along with the Oort clouds of neighboring stars. The more massive the star, the larger its Oort cloud [Image: © AMNH ] “New facilities like the Next Generation Very Large Array here at NRAO or the Vera Rubin Observatory and LSST survey project will generate large volumes of data, so astronomers have to get creative with how to analyze it,” says Kent.  More data—and new instruments—will also be needed to prove the spiral itself is actually there: there’s still no known way to even observe the Oort cloud.  Instead, the paper notes, the structure will have to be measured from “detection of a large number of objects” in the radius of the inner Oort cloud or from “thermal emission from small particles in the Oort spiral.”  The Vera C. Rubin Observatory, a powerful, U.S.-funded telescope that recently began operation in Chile, could possibly observe individual icy bodies within the cloud. But researchers expect the telescope will likely discover only dozens of these objects, maybe hundreds, not enough to meaningfully visualize any shapes in the Oort cloud.  For us, here and now, the 1.4 trillion mile-long spiral will remain confined to the inside of a dark dome across the street from Central Park.

By TREVOR HOGG Images courtesy of Pixar. The character design of Glordon is based on a tardigrade, which is a microscopic water bear. Rather than look at the unknown as something to be feared, Pixar has decided to do some wish fulfillment with Elio, where a lonely adolescent astrophile gets abducted by aliens and is mistaken as the leader of Earth. Originally conceived and directed by Adrian Molina, the coming-of-age science fiction adventure was shepherded by Domee Shi and Madeline Sharafian, who had previously worked together on Turning Red. “Space is often seen as dark, mysterious and scary, but there is also so much hope, wonder and curiosity,” notes Shi, director of Elio. “It’s like anything is ‘out there.’ Elio captures how a lot of us feel at different points of our lives, when we were kids like him, or even now wanting to be off of this current planet because it’s just too much. For Elio, it’s a rescue. I feel that there’s something so universal about that feeling of wanting to be taken away and taken care of. To know that you’re not alone and somebody chose you and picked you up.” The character design of Glordon is based on a tardigrade, which is a microscopic water bear. There is a stark contrast between how Earth and the alien world, known as the Communiverse, are portrayed. “The more we worked with the animators on Glordon and Helix, they began to realize that Domee and I respond positively when those [alien] characters are exaggerated, made cute, round and chubby,” states Sharafian, director of Elio. “That automatically started to differentiate the way the Earth and space feel.” A certain question had to be answered when designing the United Nations-inspired Communiverse. “It was coming from a place of this lonely kid who feels like no one wants him on Earth,” Shi explains. “What would be heaven and paradise for him? The Communiverse was built around that idea.” A sense of belonging is an important theme. “It’s also inspired by Adrian Molina’s backstory, and our backstories too, of going to animation college,” Sharafian remarks. “For the first time, we said, ‘This is where everybody like me is!’” Green is the thematic color for Elio. Visual effects are an important storytelling tool. “Especially, for our movie, which is about this boy going to this crazy incredible world of the Communiverse,” Shi observes. “It has to be dazzling and look spectacular on the big screen and feel like paradise. Elio is such a visual feast, and you do feel like, ‘I want to stay here no matter what. I can’t believe that this place even exists.’ Visual effects are a powerful tool to help you feel what the characters are feeling.” A wishlist became a reality for the directors. “Claudia Chung Sanii [Visual Effects Supervisor] gave Domee and me carte blanche for wish fulfillment for ourselves,” Sharafian remarks. “What do you want Elio’s outfit in space to look like? It was a difficult costume, but now when we watch the movie, we’re all so proud of it. Elio looks fabulous, and he’s so happy to be wearing that outfit. Who would want to take that off?” The Communiverse was meant to feel like a place that a child would love to visit and explore. Methodology rather than technology went through the biggest change for the production. “The Communiverse is super complex and has lots of moving pieces. But there’s not much CG can’t do anymore,” notes Claudia Chung Sanii. “Elemental did effects characters. We did long curly hair, dresses, capes, water and fire. What we hadn’t done before was be a part of that design process. How do we get lighting into layout? How do we see the shaders in animation in layout? The tools department was working on a software called Luna which does that. I went to the tools department and asked, ‘Can I play around with it?’ They were like, ‘Okay. But it’s not ready yet.’ Tools will basically be bringing RenderMan and an interactive lighting workflow to the pipeline across all of these DCCs. Because we light in Katana, you can’t get back upstream. The conceit that we were dipping our toe in on Elio was, ‘Whatever you do in lighting, anyone on the pipeline can see it.’” The influence of microscopic forms and macro photography grounded the Communiverse in natural phenomena. The variety in the Communiverse is a contrast to the regimented world on the military base. There were no departmental borders, in particular with cinematography. “We had our layout and lighting DPs start on the same day. Derek Williams wouldn’t shoot anything without Jordan Rempel, our lighting DP, seeing it,” Sanii states. “Jordan would drop in lighting and start doing key lighting as Derek’s team was laying out. It wasn’t like you had to hit the render button, wait for the render to come up and go, ‘Oh, my god, it’s dark! I didn’t know that it was nighttime.’” A new term was adopted. “Meredith Hom [Production Manager] and I pulled the entire crew and leadership into this mental concept that we called the ‘college project.’ For some of us, college was a time when we didn’t have titles and crafts. You begged, borrowed and stole to hit that deadline. So much of our world has become linear in our process that I wanted to break that down to, ‘No. We’re all working together. The scope of this film is too large for us to wait for each other to finish our piece. If this person is slammed, fine. Figure out a different idea to do it with what tools you have.’” Directors Domee Shi and Madeline Sharafian are drawn to chubby, exaggerated and cute characters. Forgoing the word ‘no’ led to the technology breaking down. “I remember times when crowds [department] is dressing all of the aliens and because of forgetting to constrain it to the Communiverse, they all show up at the origin, and you’re going, ‘Why is there a whole party going on over there?’” Sanii laughs. “On Elio, it was always forward. There were no rules about locking things down or not installing over the weekend. It was always like, ‘Put it all in, and we’ll deal with it on Monday.’ There would be some funny stuff. We never QC’d something before walking it into the room. Everyone saw how the sausage was made. It was fun and not fun for Harley Jessup [Production Designer] because sometimes there would be a big thing in the middle screen, and he would say, ‘Is that finished?’ There was no way we could get through this film if we kept trying to fix the thing that broke.” An aerial image of Elio as he attempts to get abducted by aliens. Part of the design of the Coummuniverse was inspired by Chinese puzzle balls. A former visual effects art director at ILM, Harley Jessup found his previous experiences on projects like Innerspace to be helpful on Elio. “I liked that the directors wanted to build on the effects films from the 1980s and early 1990s,” reflects Jessup. “I was there and part of that. It was fun to look back. At the time, the techniques were all practical, matte paintings and miniatures, which are fun to work with, but without the safety net of CG. One thing Dennis Muren [VES] was keen on, was how people see things like the natural phenomenon you might see in a microscopic or macro photography form. We were using that. I was looking at the mothership of Close Encounters of the Third Kind, which Dennis shot when he was a young artist. It was nice to be able to bring all of that history to this film.” Earth was impacted by a comment made by Pete Docter (CCO, Pixar). “He said, ‘The military base should feel like a parking lot,” Jessup reveals. “You should know why Elio wants to be anywhere else. And the Communiverse needs to be inviting. We built a lot of contrast into those two worlds. The brutalist architecture on the military base, with its hard edges and heavy horizontal forms close to the earth, needed to be harsh but beautiful in its own way, so we tried for that. The Communiverse would be in contrast and be all curves, translucent surfaces and stained-glass backlit effects. Things were wide open about what it could be because each of the aliens are from a different climate and gravity. There are some buildings that are actually upside down on it, and the whole thing is rotating inside like clockwork. It is hopefully an appealing, fun world. It’s not a dystopian outer space.” Exploring various facial expressions for Elio. A tough character to get right was Aunt Olga, who struggles to be the guardian of her nephew. Character designs of Elio and Glordon. which shows them interacting with each other. Architecture was devised to reflect the desired tone for scenes. “In the Grand Assembly Hall where each alien has a desk and booth, the booth is shaped like an eyelid that can close or open,” Jessup explains. “It increases the feeling that they’re evaluating and observing Elio and each of the candidates that have come to join the Communiverse.” A couple of iconic cinematic franchises were avoided for aesthetic reasons. “As much as I love Star Wars and Star Trek, we wanted to be different from those kinds of aliens that are often more humanoid.” Ooooo was the first alien to be designed. “We did Ooooo in collaboration with the effects team, which was small at that time. She was described as a liquid supercomputer. We actually used the wireframe that was turning up and asked, what if it ended up being this network of little lights that are moving around and can express how much she was thinking? Ooooo is Elio’s guide to the Communiverse; her body would deform, so she could become a big screen or reach out and pluck things. Ooooo has an ability like an amoeba to stretch.” Flexibility is important when figuring out shot design. “On Elio, we provided the layout department with a rudimentary version of our environments,” states David Luoh, Sets Supervisor. “It might be simple geometry. We’re not worried necessarily about shading, color and material yet. Things are roughly in place but also built in a way that is flexible. As they’re sorting out the camera and testing out staging, they can move elements of the set around. Maybe this architectural piece needs to be shifted or larger or smaller. There was a variation on what was typically expected of set deliveries of environments to our layout department. That bar was lowered to give the layout department something to work with sooner and also with more flexibility. From their work we get context as to how we partner with our art and design department to build and finalize those environments.” Regional biomes known as disks are part of the Communiverse. “There are aquatic, lush forest, snow and ice, and hot lava disks,” Luoh remarks. “The hot disk is grounded in the desert, volcanic rock and lava, while for the lush disk we looked at interesting plant life found in the world around us.” The Communiverse is a complex geometric form. “We wanted these natural arrangements of alien districts, and that was all happening on this twisting and curving terrain in a way that made traditional dressing approaches clunky. Oftentimes, you’re putting something on the ground or mounted, and the ground is always facing upward. But if you have to dress the wall or ceiling, it becomes a lot more difficult to manipulate and place on something with that dynamic and shape. You have stuff that casts light, is see-through and shifting over time. Ooooo is a living character that looks like electronic circuitry that is constantly moving, and we also have that element in the walls, floors and bubble transport that carry the characters around.” Sets were adjusted throughout the production. “We try to anticipate situations that might come up,” Luoh states. “What if we have a series of shots where you’re getting closer and closer to the Communiverse and you have to bridge the distance between your hero and set extension background? There is a partnership with story, but certainly with our layout camera staging department. As we see shots come out of their work, we know where we need to spend the time to figure out, are we going to see the distant hills in this way? We’re not going to build it until we know because it can be labor-intensive. There is a responsiveness to what we are starting to see as shots get made.” Combining the familiar into something unfamiliar was a process. “There was this curation of being inspired by existing alien sci-fi depictions, but also reaching back into biological phenomena or interesting material because we wanted to ground a lot of those visual elements and ideas in something that people could intuitively grasp on to, even if they were combined or arranged in a way that is surprising, strange and delightful.”