Although firmly entrenched in the cultural zeitgeist now, the skateboard wasn’t always a staple of popular culture. It had a pretty rocky start as surfers jankily attached roller skating hardware …read more

This model definitely isn't aimed at children, and has so much potential for crafting.

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In April 2025, at the ITER Private Sector Fusion Workshop in Cadarache, something remarkable unfolded. In a room filled with scientists, engineers and software visionaries, the line between big science and commercial innovation began to blur.   Three organisations – Microsoft Research, Arena and Brigantium Engineering – shared how artificial intelligence (AI), already transforming everything from language models to logistics, is now stepping into a new role: helping humanity to unlock the power of nuclear fusion.  Each presenter addressed a different part of the puzzle, but the message was the same: AI isn’t just a buzzword anymore. It’s becoming a real tool – practical, powerful and indispensable – for big science and engineering projects, including fusion.  “If we think of the agricultural revolution and the industrial revolution, the AI revolution is next – and it’s coming at a pace which is unprecedented,” said Kenji Takeda, director of research incubations at Microsoft Research.  Microsoft’s collaboration with ITER is already in motion. Just a month before the workshop, the two teams signed a Memorandum of Understanding (MoU) to explore how AI can accelerate research and development. This follows ITER’s initial use of Microsoft technology to empower their teams. A chatbot in Azure OpenAI service was developed to help staff navigate technical knowledge, on more than a million ITER documents, using natural conversation. GitHub Copilot assists with coding, while AI helps to resolve IT support tickets – those everyday but essential tasks that keep the lights on.  But Microsoft’s vision goes deeper. Fusion demands materials that can survive extreme conditions – heat, radiation, pressure – and that’s where AI shows a different kind of potential. MatterGen, a Microsoft Research generative AI model for materials, designs entirely new materials based on specific properties. “It’s like ChatGPT,” said Takeda, “but instead of ‘Write me a poem’, we ask it to design a material that can survive as the first wall of a fusion reactor.”  The next step? MatterSim – a simulation tool that predicts how these imagined materials will behave in the real world. By combining generation and simulation, Microsoft hopes to uncover materials that don’t yet exist in any catalogue.  While Microsoft tackles the atomic scale, Arena is focused on a different challenge: speeding up hardware development. As general manager Michael Frei put it: “Software innovation happens in seconds. In hardware, that loop can take months – or years.”  Arena’s answer is Atlas, a multimodal AI platform that acts as an extra set of hands – and eyes – for engineers. It can read data sheets, interpret lab results, analyse circuit diagrams and even interact with lab equipment through software interfaces. “Instead of adjusting an oscilloscope manually,” said Frei, “you can just say, ‘Verify the I2C [inter integrated circuit] protocol’, and Atlas gets it done.”  It doesn’t stop there. Atlas can write and adapt firmware on the fly, responding to real-time conditions. That means tighter feedback loops, faster prototyping and fewer late nights in the lab. Arena aims to make building hardware feel a little more like writing software – fluid, fast and assisted by smart tools.  Fusion, of course, isn’t just about atoms and code – it’s also about construction. Gigantic, one-of-a-kind machines don’t build themselves. That’s where Brigantium Engineering comes in. Founder Lynton Sutton explained how his team uses “4D planning” – a marriage of 3D CAD models and detailed construction schedules – to visualise how everything comes together over time. “Gantt charts are hard to interpret. 3D models are static. Our job is to bring those together,” he said.  The result is a time-lapse-style animation that shows the construction process step by step. It’s proven invaluable for safety reviews and stakeholder meetings. Rather than poring over spreadsheets, teams can simply watch the plan come to life.  And there’s more. Brigantium is bringing these models into virtual reality using Unreal Engine – the same one behind many video games. One recent model recreated ITER’s tokamak pit using drone footage and photogrammetry. The experience is fully interactive and can even run in a web browser. “We’ve really improved the quality of the visualisation,” said Sutton. “It’s a lot smoother; the textures look a lot better. Eventually, we’ll have this running through a web browser, so anybody on the team can just click on a web link to navigate this 4D model.”  Looking forward, Sutton believes AI could help automate the painstaking work of syncing schedules with 3D models. One day, these simulations could reach all the way down to individual bolts and fasteners – not just with impressive visuals, but with critical tools for preventing delays.  Despite the different approaches, one theme ran through all three presentations: AI isn’t just a tool for office productivity. It’s becoming a partner in creativity, problem-solving and even scientific discovery.  Takeda mentioned that Microsoft is experimenting with “world models” inspired by how video games simulate physics. These models learn about the physical world by watching pixels in the form of videos of real phenomena such as plasma behaviour. “Our thesis is that if you showed this AI videos of plasma, it might learn the physics of plasmas,” he said.  It sounds futuristic, but the logic holds. The more AI can learn from the world, the more it can help us understand it – and perhaps even master it. At its heart, the message from the workshop was simple: AI isn’t here to replace the scientist, the engineer or the planner; it’s here to help, and to make their work faster, more flexible and maybe a little more fun. As Takeda put it: “Those are just a few examples of how AI is starting to be used at ITER. And it’s just the start of that journey.”  If these early steps are any indication, that journey won’t just be faster – it might also be more inspired. 

A swirling sea of pink, where fluffy tufts float majestically upward, while elsewhere violet plumes rain down from above. This is the Sun as seen in groundbreaking new images — and they're unlike anything you've ever laid eyes on.As detailed in a new study published in the journal Nature Astronomy, scientists have leveraged new coronal adaptive optics tech to bypass the blurriness caused by the turbulence of the Earth's atmosphere, a time-old obstacle that's frustrated astronomers' attempts to see features on our home star at a resolution better than 620 miles. Now, they've gotten it down to just under 40 miles — a light year sized leap.The result is some of the clearest images to date of the fine structures that make up the Sun's formidable corona, the outermost layer of its atmosphere known for its unbelievable temperatures and violent, unpredictable outbursts.The authors are optimistic that their blur-bypassing techniques will be a game-changer."These are by far the most detailed observations of this kind, showing features not previously observed, and it's not quite clear what they are," coauthor Vasyl Yurchyshyn, a research professor at the New Jersey Institute of Technology's Center for Terrestrial Research (CSTR), said in a statement about the work."It is super exciting to build an instrument that shows us the Sun like never before," echoed lead author Dirk Schmidt, an adaptive optics scientist at the US National Solar Observatory.Stretching for millions of miles into space, the corona is the staging ground for the Sun's violent outbursts, which range from solar storms, to solar flares, to coronal mass ejections. One reason scientists are interested in these phenomena is because they continue to batter our own planet's atmosphere, playing a significant role in the Earth's climate and wreaking havoc on our electronics. Then, at a reach totally beyond our very limited human purview, is the corona's mighty solar wind, which sweeps across the entire solar system, shielding it from cosmic rays.But astronomers are still trying to understand how these solar phenomena occur. One abiding mystery is why the corona can reach temperatures in the millions of degrees Fahrenheit, when the Sun's surface it sits thousands of miles above is no more than a relatively cool 10,000 degrees. The conundrum even has a name: the coronal heating problem.The level of detailed captured in the latest images, taken with an adaptive optics system installed on the Goode Solar Telescope at the CSTR, could be transformative in probing these mysteries.One type of feature the unprecedented resolution revealed were solar prominences, which are large, flashy structures that protrude from the sun's surface, found in twisty shapes like arches or loops. A spectacular video shows a solar prominence swirling like a tortured water spout as it's whipped around by the sun's magnetic field.Most awe-inspiring of all are the examples of what's known as coronal rain. Appearing like waterfalls suspended in midair, the phenomenon is caused as plasma cools and condenses into huge globs before crashing down to the sun's surface. These were imaged at a scale smaller than 100 kilometers, or about 62 miles. In solar terms, that's pinpoint accuracy."With coronal adaptive optics now in operation, this marks the beginning of a new era in solar physics, promising many more discoveries in the years and decades to come," said coauthor  Philip R. Goode at the CSTR in a statement.More on our solar system: Scientists Detect Mysterious Object in Deep Solar SystemShare This Article