Space Daily: An AI trawled through 35 years of Hubble images and found more than 800 strange objects that had never been documented before, showing that one of astronomy’s most famous archives is still hiding discoveries in plain sight. “Two researchers at the European Space Agency have run an AI tool across nearly 100 million cropped images from the Hubble Space Telescope archive and come […]
https://rbfirehose.com/2026/06/07/space-daily-an-ai-trawled-through-35-years-of-hubble-images-and-found-more-than-800-strange-objects-that-had-never-been-documented-before-showing-that-one-of-astronomys-most-famous-archives/
Space Daily: An AI trawled through 35 years of Hubble images and found more than 800 strange objects that had never been documented before, showing that one of astronomy’s most famous archives is still hiding discoveries in plain sight
Space Daily: An AI trawled through 35 years of Hubble images and found more than 800 strange objects that had never been documented before, showing that one of astronomy’s most famous archives is s…
Es gibt einen vereinfachten Satz, der mir das Thema Datenbanken seit Jahren erklärt: Die Struktur deines Datenspeichers sollte zur Struktur deiner Frage passen. Nicht zur Datenmenge, nicht zur Mode, nicht zum Hype. Zur Frage die zur Lösung deines Problems führt.
#database #coding #design #development #dev #databasearchitecture #dataanalysis #dataanalytics #question #databaseperformance #datascience #db
Oh, look! A riveting paper about Leipzig benchmarks. 🤔 Because if there's anything the world needed, it's another set of numbers that only a supercomputer scientist could love. 🤷♂️ Thanks for enlightening us with your thrilling spreadsheet of data, Leipzig team! 📊🎉
https://arxiv.org/abs/2606.05818 #LeipzigBenchmarks #SupercomputerScience #DataAnalysis #ResearchHumor #TechInsights #HackerNews #ngated
Benchmarks in Leipzig
Between April 1 and May 15, 2026, a group of 49 mathematicians compiled a dataset of research-level mathematics questions with known answers. Most of the work was done during the 3-day workshop *Benchmarks in Leipzig* with 35 participants at the Max Planck Institute for Mathematics in the Sciences in Leipzig, Germany. We present the resulting collection of 100 questions. We evaluated these questions in three stages: a single attempt by five state-of-the-art LLMs, followed by a 20-runs-per-model evaluation with three of these models, and finally a 3-run attempt with two heavy-thinking models. After Stage 1, 41 questions remained completely unsolved; after Stage 2, this count dropped to 16; and we concluded Stage 3 with only 2 unsolved questions. This demonstrates that the mathematical reasoning capabilities of LLMs are becoming impressive.
What ChatGPT actually searches for: 5 million fanout queries analyzed: Peec AI's analysis of 5 million fanouts shows ChatGPT injects 'best,' 'reviews,' and '2026' into hidden searches, explaining why listicles dominate AI results.
https://ppc.land/what-chatgpt-actually-searches-for-5-million-fanout-queries-analyzed/ #ChatGPT #AI #MachineLearning #DataAnalysis #SearchEngineOptimization
What ChatGPT actually searches for: 5 million fanout queries analyzed
Peec AI's analysis of 5 million fanouts shows ChatGPT injects 'best,' 'reviews,' and '2026' into hidden searches, explaining why listicles dominate AI results.
Classic 100: 2001 to 2021
Iowa State University: Integrating ‘citizen science’ with experimental data helps uncover how plants adapt. “Led in part by Iowa State University agronomy professor Jianming Yu, the research team identified the genetic basis for adaptative responses that help explain the contradictory flowering-time trends. But the framework – wringing useful insight from ‘citizen science,’ in this case […]
https://rbfirehose.com/2026/06/04/iowa-state-university-integrating-citizen-science-with-experimental-data-helps-uncover-how-plants-adapt/
Iowa State University: Integrating ‘citizen science’ with experimental data helps uncover how plants adapt
Iowa State University: Integrating ‘citizen science’ with experimental data helps uncover how plants adapt. “Led in part by Iowa State University agronomy professor Jianming Yu, the research …
One more thing. Don't assume AI understands your business. Always spell out timeframes, units, and what success looks like. A lot of people skip this step and end up with generic answers that don't help.
#DataAnalysis #AITips #BusinessIntelligence #DataDriven #PromptEngineering #AIForBusiness #DataVisualization #Analytics #MachineLearning #TechTips (3/3)
Should you normalize RGB values by 255 or 256?
ResearchBuzz: Firehose
Andreas Schmidt
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