The consumer-to-aerospace-to-industrial replacement cycle has a clear direction. The VIBO sensor launches at #HM26, Hall 27, Stand J73.
COMPUTING
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MEMS sensors replace piezoelectric technology across industries
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MEMS replaced piezoelectric sensors in smartphones completely. Aerospace started 15 years ago. Industrial manufacturing is next.
— Lucian Fogoros (@fogoros) 10 avril 2026
Tronics has shipped several million MEMS accelerometers to aerospace and energy over two decades. Partner content with Tronics. #tronics_ai pic.twitter.com/VWcOh1uwohMEMS replaced piezoelectric sensors in smartphones completely. Aerospace started 15 years ago. Industrial manufacturing is next.
Tronics has shipped several million MEMS accelerometers to aerospace and energy over two decades. Partner content with Tronics. #tronics_ai -
Iran War’s Limited Impact on AI Chip Production and Buildout
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Really interesting: New analysis from @EpochAIResearch on the Iran war's impact on AI: tl;dr The Hormuz shutdown hit 20% of global LNG and ~33% of helium supply, but chipmaking margins are so high that fabs can absorb massive cost spikes. US data centers are insulated from the energy shock entirely. The real risk however: Gulf investment flows drying up as oil revenue drops and geopolitical risk rises, plus direct threats to projects like Stargate UAE. Bottom line: a prolonged conflict slows the buildout at the margins but won't derail it, unless the war escalates dramatically. And this is the real danger. Epoch AI (@EpochAIResearch) The Iran War and Hormuz shutdown have disrupted oil, gas, and helium exports and threatened data centers and investments in the Gulf states. @justjoshinyou13 explores how a prolonged Iran war could affect AI, and why it probably won’t completely derail the compute buildout. — https://nitter.net/EpochAIResearch/status/2042599307493384520#m
→ View original post on X — @kimmonismus, 2026-04-10 14:12 UTC
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Exponential Quantum Advantage in Processing Massive Classical Data
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Exponential quantum advantage in processing massive classical data Zhao et al. : https://
arxiv.org/abs/2604.07639 #ArtificialIntelligence -
Exponential quantum advantage for processing massive classical data
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Exponential quantum advantage in processing massive classical data Zhao et al.: arxiv.org/abs/2604.07639 #ArtificialIntelligence [Translated from EN to English]
→ View original post on X — @ceobillionaire, 2026-04-10 14:09 UTC
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MIT Lottery Ticket Hypothesis: Tiny Networks Match Full Model Performance
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What if 90% of your neural network is doing… nothing? MIT’s Lottery Ticket Hypothesis showed something radical:
Inside every large model, there exists a tiny “winning ticket” — a subnetwork that can match full-model performance. Same accuracy. Fraction of the size. But -
Galaxy Project: Open-Source Platform for Biomedical Research and Data Science
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Galaxy Project The Galaxy Project is a cutting-edge, open-source, web-based platform that revolutionizes the mathematical computation of biomedical research by making it accessible, reproducible, and transparent to the mathematical deep learning and machine learning community. It was initially developed at Ivy League Pennsylvania State University (Penn State) and the University of Texas at Austin, making it a U.S.-originated initiative from America. However, over the years, it has grown into an internationally adopted platform with contributors and contributors from all over the world. Galaxy Project is the most high performance computing tool that empowers mathematical and machine learning community to conduct complex analyses revolutionizing data science. The Galaxy Project creates a light way by fostering collaboration and facilitating the sharing and repetition of scientific workflows for breakthroughs in research and enhancing scientific findings' credibility. It has the most intense mathematical tools you might have ever come across! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Mathematics #Programming #Coding #100DaysofCode References Afgan, E., Baker, D., Batut, B., van den Beek, M., Bouvier, D., Čech, M., Chilton, J., Clements, D., Coraor, N., Grüning, B. A., Guerler, A., Hillman-Jackson, J., Hiltemann, S., Jalili, V., Rasche, H., Soranzo, N., Goecks, J., Taylor, J., Nekrutenko, A., & Blankenberg, D. (2024). The Galaxy platform for accessible, reproducible, and collaborative biomedical analyses: 2024 update. Nucleic Acids Research, 52(W1), W83–W88. doi.org/10.1093/nar/gkac247. Retrieved March 14, 2025. Galaxy Community Hub. (2010, January 1). Galaxy Publication Library. Galaxy Project. Retrieved March 14, 2025, from galaxyproject.org/publicatio… Galaxy Community Hub. (2010, January 1). Governance. Galaxy Project. Retrieved March 14, 2025, from galaxyproject.org/community/… Galaxy Community Hub. (2024, June 10). The 2024 Galaxy Community Update Paper is Here!. Galaxy Project. Retrieved March 14, 2025, from galaxyproject.org/news/2024-… Galaxy Training Network. (2024). Galaxy Training: A powerful framework for teaching!. PLOS Computational Biology, 20(1), e1008537. doi.org/10.1371/journal.pcbi…. Retrieved March 14, 2025.
→ View original post on X — @gp_pulipaka, 2026-04-10 13:26 UTC
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AWS Platform Amazon Reinforcement Learning Big Data Analytics
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#AWS Platform- Amazon #ReinforcementLearning. #BigData #Analytics #DataScience #AI #Robotics #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode geni.us/Amazon-R-L
→ View original post on X — @gp_pulipaka, 2026-04-10 13:26 UTC
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China’s Dark Factories: Automation Without Human Workers
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China’s Dark Factories: So Automated, They Don't Need Lights | WSJ https://
youtu.be/MCBdcNA_FsI?si
=aFh0CgMmkS1RLW_C
… via @YouTube #darkfactory #factory #automation #robot #robotics #warehouse #ecommerce #onlinesales @lexfridman @KirkDBorne @Ronald_vanLoon @erikbryn @antgrasso @sallyeaves @Nicochan33 -
Frontier AI Models Hackathon London In-Person Event
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in two weekends time, come hack on complex worlds where you’ll put frontier models to the test! london, in-person prizes and cool speakers too 🙂