<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Academic on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/academic/</link><description>Recent content in Academic on English AI Terms Dictionary</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 18 Jul 2026 11:44:44 +0000</lastBuildDate><atom:link href="https://terms-en.ai-term-hub.com/en/tags/academic/index.xml" rel="self" type="application/rss+xml"/><item><title>Nature Machine Intelligence</title><link>https://terms-en.ai-term-hub.com/en/terms/nature_machine_intelligence/</link><pubDate>Sat, 18 Jul 2026 10:08:54 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/nature_machine_intelligence/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>Nature Machine Intelligence is a high-impact academic journal dedicated to publishing original research on all aspects of artificial intelligence. It covers topics ranging from fundamental algorithms to ethical implications and societal impacts of AI. The journal serves as a key resource for researchers, practitioners, and policymakers seeking rigorous, peer-reviewed insights into the latest advancements, challenges, and future directions in the field of machine intelligence and its applications across science and industry.&lt;/p></description></item><item><title>Journal of Machine Learning Research</title><link>https://terms-en.ai-term-hub.com/en/terms/journal_of_machine_learning_research/</link><pubDate>Sat, 18 Jul 2026 10:03:27 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/journal_of_machine_learning_research/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>The Journal of Machine Learning Research (JMLR) is a prominent open-access publication that serves as a primary venue for disseminating rigorous scientific findings in machine learning. It covers theoretical foundations, algorithms, applications, and interdisciplinary connections. As a respected authority in the field, JMLR ensures high standards through strict peer review, making it essential reading for researchers seeking state-of-the-art methodologies and empirical validations in computational learning systems.&lt;/p>
&lt;h3 id="summary">Summary&lt;/h3>
&lt;p>A leading peer-reviewed academic journal dedicated to publishing high-quality research on all aspects of machine learning.&lt;/p></description></item><item><title>Dataset:S2Orc</title><link>https://terms-en.ai-term-hub.com/en/terms/datasets2orc/</link><pubDate>Sat, 18 Jul 2026 09:53:59 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/datasets2orc/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>S2ORC is a comprehensive corpus of scholarly articles derived from Semantic Scholar. It includes full-text content, metadata, and citation relationships for millions of papers across various scientific domains. This dataset is widely used for natural language processing tasks such as citation prediction, paper recommendation, and scientific information extraction. Its structured format facilitates the development of AI models that understand academic literature and research trends.&lt;/p>
&lt;h3 id="summary">Summary&lt;/h3>
&lt;p>Semantic Scholar Open Research Corpus, a large-scale dataset of academic papers with structured metadata and citation networks.&lt;/p></description></item><item><title>Dataset:Embedding Data/Specter</title><link>https://terms-en.ai-term-hub.com/en/terms/datasetembedding_dataspecter/</link><pubDate>Sat, 18 Jul 2026 09:53:29 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/datasetembedding_dataspecter/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>The Specter dataset is constructed from a vast collection of Computer Science papers, utilizing citation networks to create supervised learning signals. It pairs abstracts with their citing papers to train models that understand semantic relationships within academic literature. This dataset enables the creation of embeddings that can effectively measure similarity between research papers, facilitating tasks such as recommendation systems for scholars, automated citation prediction, and organizing scientific knowledge bases efficiently.&lt;/p></description></item></channel></rss>