Stay updated with the latest news, articles, and coverage about the Watt Matters in AI conference and energy efficiency in artificial intelligence.
In the run-up to the conference, we publish stories and podcasts to raise awareness about the importance of energy efficiency in AI. Our podcast explores the radical shifts required to support systems utilizing artificial intelligence.
The edge AI market is booming, but deployments stall in "pilot purgatory." Axelera AI's CEO Fabrizio Del Maffeo explains how purpose-built Digital In-Memory Computing architecture eliminates the data bottleneck, making AI deployments at the edge economically viable.
Read articleThe University of Groningen professor and IMChip founder is developing neuromorphic chips inspired by the human brain that are up to 200 times more energy-efficient than conventional processors. Her message: interdisciplinary collaboration isn't optional—it's essential.
Read articleAt the launch of TU/e's Casimir Institute, ASML's Head of Research warned that AI's soaring compute demand could soon outpace global energy supply. Innovation and collaboration across chip design, manufacturing, and academia are the only way forward.
Read articleBig Tech's promises of "green AI" mask an uncomfortable reality: massive energy demands, growing carbon emissions, and a shifting narrative that sidelines sustainability. Dr. Rianne Riemens unpacks how Silicon Valley is shaping our environmental futures.
Read articleAs AI drives an explosion in chip demand and data center power use, Professor Hans Hilgenkamp points to neuromorphic computing as part of the solution. The brain runs on just 20 watts - can we build chips that do the same?
Read articleWith its new Neuromorphic Computing Roadmap, the Netherlands positions itself as a global frontrunner in brain-inspired computing. The roadmap calls for €30 million investment to build shared facilities and accelerate innovation.
Read articleData centres powering AI are on track to consume more electricity than some countries. A new study warns against undermining climate goals as Europe faces the challenge of balancing digital growth with sustainability.
Read articleAt a Leuven briefing, imec's leadership warned that AI's hunger for compute is on a collision course with planetary limits. Their answer: squeeze far more performance per watt by pushing Moore's Law, going 3D, and lighting up chips with photonics.
Read articleAt the launch of TU/e's Casimir Institute, speakers warned of AI's rising electricity footprint. From chip designers to policymakers, all agreed: AI's growth curve will collide with the planet's energy limits unless solutions are found.
Read articleEindhoven-based Euclyd inference architecture promises the lowest power and cost per token for the next wave of agentic AI. The CRAFTWERK system delivers 1.024 exaFLOPS with a projected 100× improvement in power efficiency.
Read articleMathieu Baltussen, a PhD candidate at Radboud University, has developed a prototype chemical computer using the Formose reaction. This innovative approach leverages complex chemical reaction networks for computing tasks with significantly less energy than traditional digital computers.
Read articleProfessor Martijn Heck from TU Eindhoven explains how photonics can revolutionize AI energy efficiency by transferring data using light instead of electricity, enabling faster processing with much lower energy consumption.
Read articleProfessor Christian Mayr from Dresden University explains how AI can draw inspiration from the human brain's remarkable 20-watt energy efficiency to revolutionize artificial intelligence systems.
Read articleThe growing energy consumption of data centers makes it essential to manage the grid intelligently and make data centers more sustainable. Dutch Data Center Association explores connecting to high-voltage grid.
Read articleNew study reveals a Gemini AI query uses less energy than nine seconds of TV - but scale still matters. Google offers the most detailed picture to date of AI's environmental impact.
Read articleLumai's 3D optical computing technology promises to slash AI chip energy consumption by 90% while boosting performance by 50x, using light to process information with minimal energy.
Read articleExploring the growing energy demands of AI systems and the imperative to develop sustainable solutions for the technology's future.
Read articleExamining the current landscape of AI energy consumption and investigating pathways toward more efficient systems.
Read articleAnalyzing the roles and responsibilities of different stakeholders in addressing AI's growing energy consumption challenges.
Read articleExploring innovations in AI algorithms, model optimization, and software frameworks to reduce energy consumption during training and inference.
Read articleExploring cutting-edge hardware innovations like neuromorphic computing, photonic processing, and memory-centric architectures for sustainable AI.
Read articleThanks to AI, we can predict the weather more accurately, enabling the energy market to anticipate fluctuations in renewable energy production.
Read moreWhile AI developments drive global electricity demand, its algorithms can also help reduce energy usage across multiple sectors.
Read moreAs AI demand grows, Stijn Grove from the Dutch Data Center Association calls for smarter planning and infrastructure expansion to balance digital growth with sustainability.
Read moreEven if you want to avoid using AI, you probably can't. The rising energy costs are worrying, an MIT Technology Review roundtable showed.
Read moreNeuromorphic computing is maturing into a viable tool for energy-efficient, real-time processing, opening up opportunities for businesses.
Read moreCEO Dr. Hamed Sadeghian explains how Nearfield Instruments aims to help solve AI's growing energy problem through advanced semiconductor metrology.
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