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
COMPUTING
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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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AI Datacenters Power Grid Economics and Social Opposition
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The people building the datacenters know how to get them powered without taking power off of the grid. And if they do, should pay for everyone's power. Rational people can figure these things out. Idiots protest this way and chase the benefits away. And there are benefits. I
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Challenges and Benefits of Neuromorphic Computing
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Challenges and Benefits of Neuromorphic Computing by @antgrasso #EmergingTech #Technology #Innovation
→ View original post on X — @ronald_vanloon, 2026-04-10 10:18 UTC
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Latency remains the key limitation for advanced AI systems
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Yeah, latency is what keeps these things from being really cool.
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OpenAI Leadership Exodus as Company Shifts Infrastructure Strategy
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Three senior leaders behind OpenAI’s Stargate initiative, including Peter Hoeschele, Shamez Hemani, and Anuj Saharan, are departing together for a new, unnamed company, signaling a notable shakeup in the firm’s infrastructure leadership. At the same time, OpenAI is pivoting away from building its own data centers toward renting massive compute capacity, with an ambitious target of $600 billion in compute over five years – let that sink in for a moment. Despite internal changes, the company is doubling down on scale, aiming to surpass competitors like Anthropic by rapidly expanding from ~2 gigawatts today to over 10 gigawatts by 2027, reinforcing its aggressive push to dominate AI infrastructure.
→ View original post on X — @kimmonismus, 2026-04-10 08:38 UTC
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Server Shutdowns During Peak Hours: False Carbon Neutrality Claims
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Servers shutting off during peak energy hours is carbon neutral in the same way a car is fuel efficient when it won't start.
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Better AI Feed: The Best in Artificial Intelligence
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I have a way better feed for you. All the best in AI:
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PostgreSQL Reliability Remains Enterprise Database Standard Choice
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Postgres just keeps showing up because it actually works and nobody ever got fired for choosing it.