Science Archives - The Newsletter Place https://www.newsletter.place/c/science/ Discover • Craft • Grow Fri, 18 Sep 2026 14:27:26 +0000 en-US hourly 1 https://wordpress.org/?v=7.1.1 Your Local Epidemiologist https://www.newsletter.place/newsletter/your-local-epidemiologist/ https://www.newsletter.place/newsletter/your-local-epidemiologist/#respond Fri, 18 Sep 2026 14:27:26 +0000 https://www.newsletter.place/newsletter/your-local-epidemiologist/ Epidemiologist Dr. Katelyn Jetelina translates public-health research — vaccines, nutrition, emerging diseases, health rumors — into plain-language explainers and weekly roundups. Aimed at readers who want evidence-based context for everyday health decisions without wading through journals.

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Epidemiologist Dr. Katelyn Jetelina translates public-health research — vaccines, nutrition, emerging diseases, health rumors — into plain-language explainers and weekly roundups. Aimed at readers who want evidence-based context for everyday health decisions without wading through journals.

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The Batch https://www.newsletter.place/newsletter/the-batch/ https://www.newsletter.place/newsletter/the-batch/#respond Fri, 18 Sep 2026 14:27:25 +0000 https://www.newsletter.place/newsletter/the-batch/ DeepLearning.AI’s weekly roundup of AI news and research, covering model releases, papers, and engineering practice in concise summaries. Andrew Ng’s team frames each issue around what matters for people building with AI. Cadence: Weekly.

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DeepLearning.AI’s weekly roundup of AI news and research, covering model releases, papers, and engineering practice in concise summaries. Andrew Ng’s team frames each issue around what matters for people building with AI.

Cadence: Weekly.

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Ahead of AI https://www.newsletter.place/newsletter/ahead-of-ai/ https://www.newsletter.place/newsletter/ahead-of-ai/#respond Fri, 18 Sep 2026 14:27:25 +0000 https://www.newsletter.place/newsletter/ahead-of-ai/ Sebastian Raschka explains large language models and machine learning research in clear, technically grounded essays. Topics range from model architectures and reasoning methods to practical guidance on implementation.

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Sebastian Raschka explains large language models and machine learning research in clear, technically grounded essays. Topics range from model architectures and reasoning methods to practical guidance on implementation.

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Exponential View https://www.newsletter.place/newsletter/exponential-view/ https://www.newsletter.place/newsletter/exponential-view/#respond Fri, 18 Sep 2026 14:27:25 +0000 https://www.newsletter.place/newsletter/exponential-view/ Azeem Azhar writes about AI and exponential technologies, connecting research advances to their economic and strategic consequences. The newsletter mixes analysis of current developments with longer essays on where the technology is heading.

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Azeem Azhar writes about AI and exponential technologies, connecting research advances to their economic and strategic consequences. The newsletter mixes analysis of current developments with longer essays on where the technology is heading.

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One Useful Thing https://www.newsletter.place/newsletter/one-useful-thing/ https://www.newsletter.place/newsletter/one-useful-thing/#respond Fri, 18 Sep 2026 14:27:25 +0000 https://www.newsletter.place/newsletter/one-useful-thing/ Wharton professor Ethan Mollick explores what AI means for work, education, and organizations, drawing on his research and hands-on experiments. Posts translate new capabilities into practical implications for how people work.

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Wharton professor Ethan Mollick explores what AI means for work, education, and organizations, drawing on his research and hands-on experiments. Posts translate new capabilities into practical implications for how people work.

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Import AI https://www.newsletter.place/newsletter/import-ai/ https://www.newsletter.place/newsletter/import-ai/#respond Fri, 18 Sep 2026 14:27:24 +0000 https://www.newsletter.place/newsletter/import-ai/ Jack Clark’s weekly briefing on AI research and industry moves, summarizing notable papers, model releases, and policy developments with his own commentary. Each issue also rounds up technical writing worth reading. Cadence: Weekly.

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Jack Clark’s weekly briefing on AI research and industry moves, summarizing notable papers, model releases, and policy developments with his own commentary. Each issue also rounds up technical writing worth reading.

Cadence: Weekly.

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