--- title: Machine Learning COFFIES “Hears” Sunspots Before We Can... description: NASA has developed a machine learning model called COFFIES that analyzes magnetic field and acoustic wave measurements at the sun's surface to predict where... canonical: https://daily.dev/posts/machine-learning-coffies-hears-sunspots-before-we-can-see-them-cfhhyc9vm twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Machine Learning COFFIES “Hears” Sunspots Before We Can See Them | daily.dev og:description: NASA has developed a machine learning model called COFFIES that analyzes magnetic field and acoustic wave measurements at the sun's surface to predict where... og:url: https://daily.dev/posts/machine-learning-coffies-hears-sunspots-before-we-can-see-them-cfhhyc9vm og:image: https://api.daily.dev/og/posts/cFHhYC9VM.png og:image:alt: Machine Learning COFFIES “Hears” Sunspots Before We Can See Them og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Machine Learning COFFIES “Hears” Sunspots Before We Can See Them **[Hackaday](https://daily.dev/sources/hackaday)** · 2 min read · 0 upvotes · 0 comments ## Summary NASA has developed a machine learning model called COFFIES that analyzes magnetic field and acoustic wave measurements at the sun's surface to predict where active regions (sunspots) will form, up to 12 hours before they become visible. The model works indirectly, inferring subsurface magnetohydrodynamic activity rather than observing it directly, and functions as something of a black box. Researchers hope its predictions could give extra advance warning for geomagnetic storms, such as a future Carrington Event-class solar flare, though it remains a research tool rather than a deployed early-warning system. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### What does NASA's COFFIES machine learning model do for predicting sunspots? COFFIES (Consequence Of Fields and Flows in the Interior and Exterior of the Sun) is a NASA machine learning model that predicts active regions, commonly known as sunspots, up to 12 hours before they become visible. It infers material flows and magnetic field dynamics deep inside the sun using indirect measurements of surface magnetic fields and acoustic waves, effectively detecting sunspot formation before it is observable. _daily.dev surfaces developments like this for engineers tracking how ML applies to physical science forecasting._ ## Similar posts on daily.dev - [Researchers improve weather forecasts looking two to six weeks out](https://daily.dev/posts/researchers-improve-weather-forecasts-looking-two-to-six-weeks-out-bql5ebjsp) · MIT News · 1 upvotes · 0 comments - [Using Transformers to Forecast Incredibly Rare Solar Flares](https://daily.dev/posts/using-transformers-to-forecast-incredibly-rare-solar-flares-ndt15zbqy) · Towards Data Science · 2 upvotes · 0 comments - [DeepMind’s hurricane breakthrough has surprised weather scientists](https://daily.dev/posts/deepmind-s-hurricane-breakthrough-has-surprised-weather-scientists-zcbbleayw) · Ars Technica · 25 upvotes · 5 comments - [Decoding the Arctic to predict winter weather](https://daily.dev/posts/decoding-the-arctic-to-predict-winter-weather-7i18fhmb2) · MIT News · 0 upvotes · 0 comments --- Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#nasa](https://daily.dev/tags/nasa) [View this post on daily.dev](https://daily.dev/posts/machine-learning-coffies-hears-sunspots-before-we-can-see-them-cfhhyc9vm) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Machine Learning COFFIES “Hears” Sunspots Before We Can See Them","url":"https://daily.dev/posts/machine-learning-coffies-hears-sunspots-before-we-can-see-them-cfhhyc9vm","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/machine-learning-coffies-hears-sunspots-before-we-can-see-them-cfhhyc9vm"},"datePublished":"2026-08-16T05:35:24.708Z","dateModified":"2026-09-13T18:55:47.363Z","description":"NASA has developed a machine learning model called COFFIES that analyzes magnetic field and acoustic wave measurements at the sun's surface to predict where...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/db5fa548bb7b85527e3ada7031295038?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/db5fa548bb7b85527e3ada7031295038?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"Hackaday","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Hackaday","logo":"https://media.daily.dev/image/upload/s--JhDfhy70--/f_auto,q_auto/v1767541814/logos/hackaday","url":"https://daily.dev/sources/hackaday"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/machine-learning-coffies-hears-sunspots-before-we-can-see-them-cfhhyc9vm","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"machine-learning,nasa","timeRequired":"PT2M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Hackaday","item":"https://daily.dev/sources/hackaday"},{"@type":"ListItem","position":3,"name":"Machine Learning COFFIES “Hears” Sunspots Before We Can See Them"}]} {"@context":"https://schema.org","@type":"FAQPage","@id":"https://daily.dev/posts/machine-learning-coffies-hears-sunspots-before-we-can-see-them-cfhhyc9vm#faq","mainEntity":[{"@type":"Question","name":"What does NASA's COFFIES machine learning model do for predicting sunspots?","acceptedAnswer":{"@type":"Answer","text":"COFFIES (Consequence Of Fields and Flows in the Interior and Exterior of the Sun) is a NASA machine learning model that predicts active regions, commonly known as sunspots, up to 12 hours before they become visible. It infers material flows and magnetic field dynamics deep inside the sun using indirect measurements of surface magnetic fields and acoustic waves, effectively detecting sunspot formation before it is observable. daily.dev surfaces developments like this for engineers tracking how ML applies to physical science forecasting."}}]} ```