Ofgem and ONR get £3.6m to boost AI innovation in energy and nuclear sectors

In nuclear, bigger isn’t always better. People love to open up their AI models and compare the size of their parameters. It sounds impressive—until you ask what it actually does. Accuracy isn’t optional and explainability isn’t a luxury. A model that can’t show its sources isn’t “smart.” It’s unreviewable. That’s why Everstar starts with retrieval, not retraining. Our platform, Gordian, pulls directly from curated, version-controlled nuclear requirements, guidance, and precedent, not a frozen copy of them buried in model weights. Every output shows its work, line by line, so you can see exactly where each statement came from. This isn’t just about transparency. It’s about speed and credibility. You can’t send a hallucination to the NRC. As foundation models keep getting better, Gordian automatically improves, without retraining, re-approvals, or security risk. We’ll train small, task-specific models when it adds measurable value. But the foundation stays the same: retrieval that holds up under scrutiny. Believable, traceable, and built to stand up in front of a regulator. That’s how AI becomes nuclear-ready. Read the whole story in Chief Nuclear Officer Theresa Clark's blog post. 👉 https://lnkd.in/egC_ibPy #NuclearEnergy #Nuclear #ArtificialIntelligence #AI #EnergyInnovation #CleanEnergy #EnergyTransition #Innovation Kevin Kong Christine Wallace Matt Huang

The next chapter of our #nuclear white paper is live: exploring the intersection of technology, #AI and energy. ⚛️🤖 As Artificial Intelligence continues to reshape industries, the infrastructure that powers it faces unprecedented pressure. Our latest chapter, “Nuclear Energy as a Solution to AI’s Growing Power Demand,” looks at how nuclear power could support AI’s exponential growth, providing the stable, low-carbon energy base that data centres increasingly depend on. This chapter explores how the convergence of nuclear and AI could define the next decade of innovation. Thanks to author Samin Khan. Stay tuned for our next chapter on #fusion

At the 6th India Nuclear Business Platform (#INBP) 2025 🇮🇳, Alessio Iuvara, Founder & CEO of CAELUS , discussed how Artificial Intelligence (AI) can transform regulatory and licensing processes in the nuclear sector. By leveraging AI, organizations can accelerate approvals, improve accuracy, and enhance compliance, addressing one of the key bottlenecks in nuclear project deployment. Beyond efficiency, AI also enables better risk assessment and decision-making, fostering greater confidence among regulators, investors, and industry stakeholders. These advancements highlight how technology-driven approaches can complement policy and industry efforts, paving the way for faster, safer, and more transparent nuclear energy growth in India. 👉 https://lnkd.in/gQPBgyYt #NuclearEnergy #INBP #India #AI #Innovation #Compliance #Licensing #Regulation #CleanEnergy #Power #Investment

X energy - Advanced Nuclear and AI: Powering the Future The unprecedented growth of artificial intelligence represents both a technological revolution and an energy challenge of historic proportions. AI has transformed everyday life in just a few short years. But as the computing needs of AI increase exponentially, so too does the energy required to power the data centers that are the backbone of this new technology. Traditional power solutions are struggling to keep pace with AI's need for reliable, continuous energy. In this new era of power demand, hyperscalers like Amazon are turning to nuclear to meet the moment. https://lnkd.in/gV4vwcw2

Microsoft and the U.S. National Lab are collaborating to apply AI in nuclear power permitting — one of the most rigorous and time-intensive processes in energy development. The move reflects a larger shift: infrastructure projects are under pressure to move faster, and AI is being tested as a way to reduce friction without losing rigor. For operators and decision-makers, this opens up important questions: Where can AI meaningfully reduce bottlenecks in your own process? How do you maintain accountability and transparency as tools get more complex? And what does responsible acceleration look like when the stakes are high? Here’s the full article: https://lnkd.in/gYzndyT4 Where are you seeing AI make a practical difference today — or is it still on the sidelines in your world?

Nuclear plants generate mountains of documentation, but managing it efficiently is often a hidden bottleneck. #Cyient utilizes AI-driven documentation management to streamline approvals, minimize rework, and reduce project costs. Digital transformation isn’t the future of nuclear; it’s the enabler of today’s projects. Visit our booth LO13 at #WNE25 #NuclearDigital #AI #EnergyInnovation #partnerships #WNE25

At Cerberus Nuclear, innovation is part of our daily work. As part of a Game Changers challenge posed by Sellafield Ltd and FIS360 Ltd, Cerberus Nuclear has developed a bespoke technology enabling the accurate measurement of a 500L stainless steel drum containing uranium waste.   DrumSight 3D is a combination of software and hardware which enables a +/-0.5 mm characterisation of vertical height, circumference and width from a centre line. This is achieved by combining traditional techniques such as photogrammetry and cutting edge machine learning algorithms to produce a high resolution digital twin of the scanned object which can then be used to determine relevant characteristics. To further increase data quality, the algorithm is able to reduce glare, remove backgrounds and isolate a floor plane on which an object is resting on. The hardware used to capture the images consists of a camera with a commercial off the shelf CMOS sensor and a fully adjustable pan tilt zoom head, whose movements have been automated to capture images from a wide range of angles. Working together with NSG Environmental Ltd, Cerberus Nuclear has built a rig replicating deployment conditions such as lighting and possible measurement geometries. In June 2025, Cerberus Nuclear was able to demonstrate the fully functional rig to Sellafield and FIS360.   The video below will give you an insight into demonstration day! #nuclear #innovation #sme

🚀 At WNE 2025, Dassault Systèmes and Assystem are joining forces to reshape nuclear engineering through AI and digital twin tech. We’re showcasing how the 3DEXPERIENCE platform + MBSE can streamline design, compliance and collaboration for next-gen reactors (SMRs/AMRs) — turning complexity into speed, traceability and innovation. 🔍 Curious about how AI can map requirements, generate a compliance matrix automatically, and keep the human in charge? Read the full story here ➜ http://go.3ds.com/vZoD

𝗙𝗿𝗼𝗺 𝗻𝘂𝗰𝗹𝗲𝗮𝗿 𝘁𝗲𝘀𝘁𝗶𝗻𝗴 𝗺𝗼𝗿𝗮𝘁𝗼𝗿𝗶𝘂𝗺𝘀 𝘁𝗼 𝗔𝗜 𝘀𝗮𝗳𝗲𝘁𝘆 𝘁𝗵𝗿𝗲𝘀𝗵𝗼𝗹𝗱𝘀 ... Over 33 years ago, the US conducted its final nuclear test - transitioning to a science-based Stockpile Stewardship Program that maintains civilization-ending arsenals through simulations alone, never testing them again. New AI safety research has found frontier models achieving 70% performance on complex software engineering tasks and demonstrating potential for weaponised capabilities - prompting developers to deploy unprecedented safety controls not because they've definitively crossed danger thresholds, but because they cannot rule out crossing them. Whilst nuclear warheads and AI systems are very different - one frozen-in-time physics, the other evolving from under 10% to 70% capability in less than two years - we can draw interesting parallels with regard to governing powerful technologies through computational assessment rather than direct testing when the risks of empirical validation become unacceptable. 𝘞𝘪𝘭𝘭 𝘺𝘰𝘶𝘳 𝘰𝘳𝘨𝘢𝘯𝘪𝘴𝘢𝘵𝘪𝘰𝘯 𝘸𝘢𝘪𝘵 𝘧𝘰𝘳 𝘦𝘷𝘪𝘥𝘦𝘯𝘤𝘦 𝘰𝘧 𝘢𝘤𝘵𝘶𝘢𝘭 𝘩𝘢𝘳𝘮 𝘣𝘦𝘧𝘰𝘳𝘦 𝘪𝘮𝘱𝘭𝘦𝘮𝘦𝘯𝘵𝘪𝘯𝘨 𝘦𝘯𝘩𝘢𝘯𝘤𝘦𝘥 𝘈𝘐 𝘤𝘰𝘯𝘵𝘳𝘰𝘭𝘴 𝘰𝘳 𝘵𝘳𝘪𝘨𝘨𝘦𝘳 𝘴𝘢𝘧𝘦𝘨𝘶𝘢𝘳𝘥𝘴 𝘸𝘩𝘦𝘯 𝘤𝘢𝘱𝘢𝘣𝘪𝘭𝘪𝘵𝘺 𝘵𝘩𝘳𝘦𝘴𝘩𝘰𝘭𝘥𝘴 𝘢𝘳𝘦 𝘳𝘦𝘢𝘤𝘩𝘦𝘥? #AI #AISafety #AISecurity #AISovereignty #AIGovernance #ResponsibleAI #TrustworthyAI

Brazil is marketing itself as a clean AI leader, attracting $8B+ from Amazon and Microsoft with its diverse energy mix. The irony: meeting AI's power demands will likely force completion of Angra III, the controversial nuclear plant stalled for 30+ years due to corruption and cost overruns. Angra III is 65% complete, has cost over $1B, needs another $3B, and won't come online until 2028 at earliest. Nuclear currently provides just 3% of Brazil's electricity. If completing the plant secures billions in AI investment.