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<rdf:RDF xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" xmlns="http://purl.org/rss/1.0/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"><channel rdf:about="https://www.bibsonomy.org/concept/tag/mining"><title>BibSonomy bookmarks for /concept/tag/mining</title><link>https://www.bibsonomy.org/concept/tag/mining</link><description>BibSonomy RSS Feed for /concept/tag/mining</description><items><rdf:Seq><rdf:li rdf:resource="https://intellibiinnovationstechnologies.in/courses/generative-ai-course-in-pune/"/><rdf:li rdf:resource="https://worldbeyondwar.org/pax-silica-the-philippines-role-in-propping-up-u-s-militarism-and-war/"/><rdf:li rdf:resource="https://www.kloudtexs.com/"/><rdf:li rdf:resource="http://norvig.com/chomsky.html"/><rdf:li rdf:resource="https://medium.com/data-science/faster-time-series-forecasting-with-ray-air-distributed-computing-part-3-of-3-632c96974774"/><rdf:li rdf:resource="https://web.archive.org/web/20251006162539/https://neptune.ai/blog/predicting-stock-prices-using-machine-learning"/><rdf:li rdf:resource="https://web.archive.org/web/20251006160541/https://neptune.ai/blog/mlops-tools-platforms-landscape"/><rdf:li rdf:resource="https://web.archive.org/web/20251024042208/https://neptune.ai/blog/category/time-series-forecasting"/><rdf:li rdf:resource="https://www.regeringen.se/pressmeddelanden/2026/03/sverige-ansluter-sig-till-samarbetsinitiativet-pax-silica/"/><rdf:li rdf:resource="https://www.other-news.info/how-china-wins-the-future-beijings-strategy-to-seize-the-new-frontiers-of-power/"/><rdf:li rdf:resource="https://www.nytimes.com/2025/04/14/us/politics/china-critical-minerals-risk-military-programs.html"/><rdf:li rdf:resource="https://www.nytimes.com/2025/06/09/business/china-rare-earth-samarium-fighter-jets.html"/><rdf:li rdf:resource="https://ggbaker.ca/data-science/"/><rdf:li rdf:resource="https://agnarlirhus.substack.com/p/for-sent-i-tide-hode-og-handbok-for"/><rdf:li rdf:resource="https://technicalwriting.dev/ml/embeddings/overview.html"/><rdf:li rdf:resource="https://github.com/gerdm/prml"/><rdf:li rdf:resource="https://www.sciencedirect.com/science/article/pii/S030643792100079X"/><rdf:li rdf:resource="https://ai.meta.com/blog/yann-lecun-ai-model-i-jepa/"/><rdf:li rdf:resource="https://arxiv.org/abs/2404.17625"/><rdf:li rdf:resource="https://www.kansalaisaloite.fi/fi/aloite/13216"/></rdf:Seq></items></channel><item rdf:about="https://intellibiinnovationstechnologies.in/courses/generative-ai-course-in-pune/"><title>Why Python Matters in Agentic AI</title><description>Agentic AI applications often involve several components working together. An application may receive a user request, determine the next action, call a tool or API, process the returned information, and then decide what to do next.
Python is commonly used to connect these components because it offers straightforward syntax and a broad ecosystem for AI and application development.
Before starting Agentic AI Training in Pune, learners should be comfortable reading and writing Python code, working with functions, handling data structures, and understanding how different parts of an application communicate.
The objective is not to memorize every Python feature. Instead, the goal should be to develop enough programming confidence to understand and modify an agent workflow.
</description><link>https://intellibiinnovationstechnologies.in/courses/generative-ai-course-in-pune/</link><dc:creator>intellibi1</dc:creator><dc:date>2026-09-23T12:16:24+02:00</dc:date><dc:subject>ai ml </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Agentic AI applications often involve several components working together. An application may receive a user request, determine the next action, call a tool or API, process the returned information, and then decide what to do next.
Python is commonly used to connect these components because it offers straightforward syntax and a broad ecosystem for AI and application development.
Before starting Agentic AI Training in Pune, learners should be comfortable reading and writing Python code, working with functions, handling data structures, and understanding how different parts of an application communicate.
The objective is not to memorize every Python feature. Instead, the goal should be to develop enough programming confidence to understand and modify an agent workflow.
&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ai"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ml"/></rdf:Bag></taxo:topics></item><item rdf:about="https://worldbeyondwar.org/pax-silica-the-philippines-role-in-propping-up-u-s-militarism-and-war/"><title>Pax Silica: The Philippines’ Role in Propping up U.S. Militarism and War - World BEYOND War</title><description>Junk the Mutual Defense Treaty, Abrogate the Visiting Forces Agreement, and Scrap the Enhanced Defense Cooperation Agreement! The Philippine government must adopt a position of neutrality in the region. #WorldBEYONDWar</description><link>https://worldbeyondwar.org/pax-silica-the-philippines-role-in-propping-up-u-s-militarism-and-war/</link><dc:creator>mikaelbook</dc:creator><dc:date>2026-08-31T18:25:01+02:00</dc:date><dc:subject>usa mining philippines </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Junk the Mutual Defense Treaty, Abrogate the Visiting Forces Agreement, and Scrap the Enhanced Defense Cooperation Agreement! The Philippine government must adopt a position of neutrality in the region. #WorldBEYONDWar&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/usa"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/mining"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/philippines"/></rdf:Bag></taxo:topics></item><item rdf:about="https://www.kloudtexs.com/"><title>DataaKloudTexs | AI, ML, MLOps &amp; Full Stack Training</title><description>Join DataaKloudTexs to learn AI, Machine Learning, MLOps and Java Full Stack with practical training, real-world projects, and industry-ready skills.</description><link>https://www.kloudtexs.com/</link><dc:creator>kloudtexs</dc:creator><dc:date>2026-08-11T11:46:55+02:00</dc:date><dc:subject>DevOps AI Course Bangalore ML </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Join DataaKloudTexs to learn AI, Machine Learning, MLOps and Java Full Stack with practical training, real-world projects, and industry-ready skills.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/DevOps"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/AI"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Course"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Bangalore"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ML"/></rdf:Bag></taxo:topics></item><item rdf:about="http://norvig.com/chomsky.html"><title>On Chomsky and the Two Cultures of Statistical Learning</title><description></description><link>http://norvig.com/chomsky.html</link><dc:creator>jaeschke</dc:creator><dc:date>2026-06-03T12:07:51+02:00</dc:date><dc:subject>nlp norvig language machine learning chomsky ml statistics </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2026-06-03T12:07:51+02:00&#034; href=&#034;http://norvig.com/chomsky.html&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://norvig.com/chomsky.html&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/nlp"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/norvig"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/language"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/machine"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/learning"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/chomsky"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ml"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/statistics"/></rdf:Bag></taxo:topics></item><item rdf:about="https://medium.com/data-science/faster-time-series-forecasting-with-ray-air-distributed-computing-part-3-of-3-632c96974774"><title>How to Train Time Series Forecasting Faster using Ray, part 3 of 3 | by Christy Bergman | TDS Archive | Medium</title><description></description><link>https://medium.com/data-science/faster-time-series-forecasting-with-ray-air-distributed-computing-part-3-of-3-632c96974774</link><dc:creator>bshanks</dc:creator><dc:date>2026-04-22T08:40:45+02:00</dc:date><dc:subject>timeseries ml </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2026-04-22T08:40:45+02:00&#034; href=&#034;https://medium.com/data-science/faster-time-series-forecasting-with-ray-air-distributed-computing-part-3-of-3-632c96974774&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://medium.com/data-science/faster-time-series-forecasting-with-ray-air-distributed-computing-part-3-of-3-632c96974774&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/timeseries"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ml"/></rdf:Bag></taxo:topics></item><item rdf:about="https://web.archive.org/web/20251006162539/https://neptune.ai/blog/predicting-stock-prices-using-machine-learning"><title>Machine Learning for Stock Price Prediction</title><description></description><link>https://web.archive.org/web/20251006162539/https://neptune.ai/blog/predicting-stock-prices-using-machine-learning</link><dc:creator>bshanks</dc:creator><dc:date>2026-04-17T17:52:44+02:00</dc:date><dc:subject>timeseries lstm ml </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2026-04-17T17:52:44+02:00&#034; href=&#034;https://web.archive.org/web/20251006162539/https://neptune.ai/blog/predicting-stock-prices-using-machine-learning&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://web.archive.org/web/20251006162539/https://neptune.ai/blog/predicting-stock-prices-using-machine-learning&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/timeseries"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/lstm"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ml"/></rdf:Bag></taxo:topics></item><item rdf:about="https://web.archive.org/web/20251006160541/https://neptune.ai/blog/mlops-tools-platforms-landscape"><title>MLOps Landscape in 2025: Top Tools and Platforms</title><description></description><link>https://web.archive.org/web/20251006160541/https://neptune.ai/blog/mlops-tools-platforms-landscape</link><dc:creator>bshanks</dc:creator><dc:date>2026-04-17T17:47:39+02:00</dc:date><dc:subject>mlops lib ml </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2026-04-17T17:47:39+02:00&#034; href=&#034;https://web.archive.org/web/20251006160541/https://neptune.ai/blog/mlops-tools-platforms-landscape&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://web.archive.org/web/20251006160541/https://neptune.ai/blog/mlops-tools-platforms-landscape&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/mlops"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/lib"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ml"/></rdf:Bag></taxo:topics></item><item rdf:about="https://web.archive.org/web/20251024042208/https://neptune.ai/blog/category/time-series-forecasting"><title>Time Series - neptune.ai</title><description></description><link>https://web.archive.org/web/20251024042208/https://neptune.ai/blog/category/time-series-forecasting</link><dc:creator>bshanks</dc:creator><dc:date>2026-04-17T17:43:16+02:00</dc:date><dc:subject>toread timeseries ml </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2026-04-17T17:43:16+02:00&#034; href=&#034;https://web.archive.org/web/20251024042208/https://neptune.ai/blog/category/time-series-forecasting&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://web.archive.org/web/20251024042208/https://neptune.ai/blog/category/time-series-forecasting&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/toread"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/timeseries"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ml"/></rdf:Bag></taxo:topics></item><item rdf:about="https://www.regeringen.se/pressmeddelanden/2026/03/sverige-ansluter-sig-till-samarbetsinitiativet-pax-silica/"><title>Sverige ansluter sig till samarbetsinitiativet Pax Silica - Regeringen.se</title><description>Utrikesminister Maria Malmer Stenergard undertecknade den 17 mars deklarationen om det amerikanska samarbetsinitiativet Pax Silica i samband med si...</description><link>https://www.regeringen.se/pressmeddelanden/2026/03/sverige-ansluter-sig-till-samarbetsinitiativet-pax-silica/</link><dc:creator>mikaelbook</dc:creator><dc:date>2026-04-12T19:31:31+02:00</dc:date><dc:subject>geo sweden usa mining </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Utrikesminister Maria Malmer Stenergard undertecknade den 17 mars deklarationen om det amerikanska samarbetsinitiativet Pax Silica i samband med si...&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/geo"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/sweden"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/usa"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/mining"/></rdf:Bag></taxo:topics></item><item rdf:about="https://www.other-news.info/how-china-wins-the-future-beijings-strategy-to-seize-the-new-frontiers-of-power/"><title>How China Wins the Future Beijing’s Strategy to Seize the New Frontiers of Power - Other News - Voices against the tide</title><description>11 December 2025·24 min read·
How China Wins the Future Beijing’s Strategy to Seize the New Frontiers of Power
By Elizabeth Economy* – Foreign Affairs / Other-News</description><link>https://www.other-news.info/how-china-wins-the-future-beijings-strategy-to-seize-the-new-frontiers-of-power/</link><dc:creator>mikaelbook</dc:creator><dc:date>2025-12-12T21:51:03+01:00</dc:date><dc:subject>arctic geo mining china maritime military networks space </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;11 December 2025·24 min read·
How China Wins the Future Beijing’s Strategy to Seize the New Frontiers of Power
By Elizabeth Economy* – Foreign Affairs / Other-News&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/arctic"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/geo"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/mining"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/china"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/maritime"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/military"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/networks"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/space"/></rdf:Bag></taxo:topics></item><item rdf:about="https://www.nytimes.com/2025/04/14/us/politics/china-critical-minerals-risk-military-programs.html"><title>China’s Halt of Critical Minerals Poses Risk for U.S. Military Programs - The New York Times</title><description>NYT 14.4.2025 On precision-guided ballistic missiles favored by the Army, magnets containing Chinese rare earth materials rotate the tail fins that allow missiles to home in on small or moving targets. And on new electric and battery-powered drones being adapted by Marines, rare earth magnets are irreplaceable in the compact electric motors.</description><link>https://www.nytimes.com/2025/04/14/us/politics/china-critical-minerals-risk-military-programs.html</link><dc:creator>mikaelbook</dc:creator><dc:date>2025-10-01T12:43:12+02:00</dc:date><dc:subject>geo usa mining china military </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;NYT 14.4.2025 On precision-guided ballistic missiles favored by the Army, magnets containing Chinese rare earth materials rotate the tail fins that allow missiles to home in on small or moving targets. And on new electric and battery-powered drones being adapted by Marines, rare earth magnets are irreplaceable in the compact electric motors.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/geo"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/usa"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/mining"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/china"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/military"/></rdf:Bag></taxo:topics></item><item rdf:about="https://www.nytimes.com/2025/06/09/business/china-rare-earth-samarium-fighter-jets.html"><title>China’s Grip on an Obscure Rare Earth Metal Threatens the West’s Militaries - The New York Times</title><description>Samarium</description><link>https://www.nytimes.com/2025/06/09/business/china-rare-earth-samarium-fighter-jets.html</link><dc:creator>mikaelbook</dc:creator><dc:date>2025-10-01T12:40:37+02:00</dc:date><dc:subject>usa mining china military </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Samarium&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/usa"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/mining"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/china"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/military"/></rdf:Bag></taxo:topics></item><item rdf:about="https://ggbaker.ca/data-science/"><title>CMPT 353 Lecture Notes</title><description></description><link>https://ggbaker.ca/data-science/</link><dc:creator>bshanks</dc:creator><dc:date>2025-08-15T09:01:08+02:00</dc:date><dc:subject>data course ml </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2025-08-15T09:01:08+02:00&#034; href=&#034;https://ggbaker.ca/data-science/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://ggbaker.ca/data-science/&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/data"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/course"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ml"/></rdf:Bag></taxo:topics></item><item rdf:about="https://agnarlirhus.substack.com/p/for-sent-i-tide-hode-og-handbok-for"><title>(1) HELE BOKA: For sent i tide: Hånd- og hodebok for omstilling og fellesskap i krisenes tid</title><description>Lirhus: På denne siden finner du innholdsfortegnelsen til &#034;For sent i tide&#034; (2025). Etter hvert som kapitlene publiseres, vil jeg gjøre dem klikkbare, slik at du kan kan navigere i boka herfra.</description><link>https://agnarlirhus.substack.com/p/for-sent-i-tide-hode-og-handbok-for</link><dc:creator>mikaelbook</dc:creator><dc:date>2025-07-06T11:43:35+02:00</dc:date><dc:subject>oil ecology mining </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Lirhus: På denne siden finner du innholdsfortegnelsen til &amp;#034;For sent i tide&amp;#034; (2025). Etter hvert som kapitlene publiseres, vil jeg gjøre dem klikkbare, slik at du kan kan navigere i boka herfra.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/oil"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ecology"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/mining"/></rdf:Bag></taxo:topics></item><item rdf:about="https://technicalwriting.dev/ml/embeddings/overview.html"><title>Embeddings are underrated</title><description></description><link>https://technicalwriting.dev/ml/embeddings/overview.html</link><dc:creator>bshanks</dc:creator><dc:date>2025-05-15T07:01:35+02:00</dc:date><dc:subject>embedding ml </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2025-05-15T07:01:35+02:00&#034; href=&#034;https://technicalwriting.dev/ml/embeddings/overview.html&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://technicalwriting.dev/ml/embeddings/overview.html&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/embedding"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ml"/></rdf:Bag></taxo:topics></item><item rdf:about="https://github.com/gerdm/prml"><title>GitHub - gerdm/prml: Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop</title><description></description><link>https://github.com/gerdm/prml</link><dc:creator>bshanks</dc:creator><dc:date>2025-04-16T21:55:15+02:00</dc:date><dc:subject>textbook book ml </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2025-04-16T21:55:15+02:00&#034; href=&#034;https://github.com/gerdm/prml&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://github.com/gerdm/prml&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/textbook"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/book"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ml"/></rdf:Bag></taxo:topics></item><item rdf:about="https://www.sciencedirect.com/science/article/pii/S030643792100079X"><title>Graph-based managing and mining of processes and data in the domain of intellectual property</title><description></description><link>https://www.sciencedirect.com/science/article/pii/S030643792100079X</link><dc:creator>scch</dc:creator><dc:date>2025-01-16T17:35:40+01:00</dc:date><dc:subject>mining and managing Graph-based </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2025-01-16T17:35:40+01:00&#034; href=&#034;https://www.sciencedirect.com/science/article/pii/S030643792100079X&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://www.sciencedirect.com/science/article/pii/S030643792100079X&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/mining"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/and"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/managing"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Graph-based"/></rdf:Bag></taxo:topics></item><item rdf:about="https://ai.meta.com/blog/yann-lecun-ai-model-i-jepa/"><title>The first AI model based on Yann LeCun’s vision for more human-like AI</title><description></description><link>https://ai.meta.com/blog/yann-lecun-ai-model-i-jepa/</link><dc:creator>bshanks</dc:creator><dc:date>2024-11-04T05:38:46+01:00</dc:date><dc:subject>lecun ai ml </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2024-11-04T05:38:46+01:00&#034; href=&#034;https://ai.meta.com/blog/yann-lecun-ai-model-i-jepa/&#034; rel=&#034;nofollow&#034; 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