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	<title>Ashish Vaswani - Revision history</title>
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		<title>ClaytonFogg at 22:35, 5 May 2026</title>
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		<summary type="html">&lt;p&gt;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;{{Short description|Indian computer scientist}}&lt;br /&gt;
{{Infobox scientist&lt;br /&gt;
| name              = Ashish Vaswani&lt;br /&gt;
| birth_date        = 1986&lt;br /&gt;
| birth_place       = India&lt;br /&gt;
| alma_mater        = {{ Plainlist |&lt;br /&gt;
*[[University of Southern California]] ([[PhD]])&lt;br /&gt;
*[[Birla Institute of Technology, Mesra]] ([[B.Tech.]])&lt;br /&gt;
}}&lt;br /&gt;
| known_for         = [[Transformer (deep learning architecture)]]&lt;br /&gt;
| fields            = {{Plainlist|&lt;br /&gt;
*[[Natural Language Processing]]&lt;br /&gt;
*[[Deep Learning]]&lt;br /&gt;
*[[Artificial Intelligence]]&lt;br /&gt;
}}&lt;br /&gt;
| workplaces        = {{ Plainlist |&lt;br /&gt;
*[[Google Brain]] (2016-2021)&lt;br /&gt;
}}&lt;br /&gt;
| thesis_title      = Smaller, Faster, and Accurate Models for Statistical Machine Translation&lt;br /&gt;
| thesis_year       = 2014&lt;br /&gt;
| doctoral_advisor  = {{ Plainlist |&lt;br /&gt;
* David Chiang&lt;br /&gt;
* Liang Huang&lt;br /&gt;
}}&lt;br /&gt;
}}&lt;br /&gt;
&lt;br /&gt;
&amp;#039;&amp;#039;&amp;#039;Ashish Vaswani&amp;#039;&amp;#039;&amp;#039; is an Indian [[computer scientist]] and entrepreneur. He conducted research at [[Google Brain]], co-founded Adept AI, and, as of 2025, was co-founder and chief executive officer of Essential AI.&amp;lt;ref name=&amp;quot;GoogleAI-Transformer&amp;quot;&amp;gt;{{Cite web |url=https://ai.googleblog.com/2017/08/transformer-novel-neural-network.html |title=Transformer: A Novel Neural Network Architecture for Language Understanding |date=August 31, 2017 |website=Google AI Blog |access-date=2026-05-05}}&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Reuters-Adept-2023&amp;quot;&amp;gt;{{Cite news |last1=Rajesh |first1=Ananya Mariam |last2=Hu |first2=Krystal |date=2023-03-16 |title=AI startup Adept raises $350 mln in fresh funding |url=https://www.reuters.com/technology/adept-raises-350-mln-series-b-funding-2023-03-14/ |work=Reuters |access-date=2026-05-05}}&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Reuters-Essential-2023&amp;quot;&amp;gt;{{Cite news |last1=Tong |first1=Anna |last2=Hu |first2=Krystal |date=2023-05-04 |title=Top ex-Google AI researchers raise funding from Thrive Capital |url=https://www.reuters.com/technology/top-ex-google-ai-researchers-raise-funding-thrive-capital-sources-2023-05-04/ |work=Reuters |access-date=2026-05-05}}&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;ET-Essential-2025&amp;quot;&amp;gt;{{Cite news |title=We would like to be DeepSeek in the West, says Essential AI cofounder |url=https://economictimes.indiatimes.com/tech/artificial-intelligence/we-would-like-to-be-deepseek-in-the-west-says-essential-ai-cofounder/articleshow/121891250.cms |work=The Economic Times |date=2025-06-17 |access-date=2026-05-05}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Vaswani is a [[co-author]] of the 2017 paper &amp;quot;[[Attention Is All You Need]]&amp;quot;, which introduced the [[Transformer (deep learning architecture)|Transformer]] neural network architecture.&amp;lt;ref&amp;gt;{{Cite Q | Q30249683 }}&amp;lt;/ref&amp;gt; The Transformer model has been used in the development of subsequent NLP models [[BERT (language model)|BERT]], [[ChatGPT]], and their successors.&lt;br /&gt;
&lt;br /&gt;
== Career ==&lt;br /&gt;
Vaswani completed his engineering in Computer Science from [[Birla Institute of Technology, Mesra]] (BIT Mesra) in 2002. &lt;br /&gt;
In 2004, he enrolled at the [[University of Southern California]] for graduate studies.&amp;lt;ref&amp;gt;{{Cite web|url=https://officechai.com/stories/the-indian-researchers-whose-work-led-to-the-creation-of-chatgpt/|title=The Indian Researchers Whose Work Led To The Creation Of ChatGPT|first=OfficeChai|last=Team|date=February 4, 2023|website=OfficeChai}}&amp;lt;/ref&amp;gt; He earned his PhD in Computer Science at the [[University of Southern California]] supervised by David Chiang.&amp;lt;ref&amp;gt;{{Cite news |date=2025-07-30 |title=8 Indian-origin AI and ML experts in the US: Where did they study |url=https://timesofindia.indiatimes.com/education/news/8-indian-origin-ai-and-ml-experts-in-the-us-where-they-studied-and-their-impact/articleshow/122994310.cms |access-date=2025-12-31 |work=The Times of India |issn=0971-8257}}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{Cite web|url=https://www.isi.edu/~avaswani/|title=Ashish Vaswani&amp;#039;s webpage at ISI|website=www.isi.edu}}&amp;lt;/ref&amp;gt; During his research career at Google,&amp;lt;ref&amp;gt;{{Cite web|url=https://ai.googleblog.com/2017/08/transformer-novel-neural-network.html|title=Transformer: A Novel Neural Network Architecture for Language Understanding|date=August 31, 2017|website=ai.googleblog.com}}&amp;lt;/ref&amp;gt; Vaswani was part of the [[Google Brain]] team, where he conducted the work leading to the &amp;#039;Attention Is All You Need&amp;#039; publication. Prior to joining Google, he was affiliated with the Information Sciences Institute at the University of Southern California.&lt;br /&gt;
&lt;br /&gt;
After Google, Vaswani co-founded &amp;#039;&amp;#039;&amp;#039;Adept AI&amp;#039;&amp;#039;&amp;#039;, a machine learning-focused startup that developed AI agents and tools for software automation. He has since left the company.&amp;lt;ref name=&amp;quot;Reuters-Adept-2023&amp;quot; /&amp;gt; He later co-founded &amp;#039;&amp;#039;&amp;#039;Essential AI&amp;#039;&amp;#039;&amp;#039; with Niki Parmar.&amp;lt;ref name=&amp;quot;Reuters-Essential-2023&amp;quot; /&amp;gt; As of 2025, he was chief executive officer of Essential AI.&amp;lt;ref name=&amp;quot;ET-Essential-2025&amp;quot; /&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Notable works ==&lt;br /&gt;
Vaswani&amp;#039;s most notable paper, &amp;quot;[[Attention Is All You Need]]&amp;quot;, was published in 2017.&amp;lt;ref&amp;gt;{{Cite web|last=Dawson |first=Caitlin|url=https://viterbischool.usc.edu/news/2023/03/attention-is-all-you-need-usc-alumni-paved-path-for-chatgpt/|title=USC Alumni Paved Path for ChatGPT|website=USC Viterbi &amp;amp;#124; School of Engineering |date=March 9, 2023}}&amp;lt;/ref&amp;gt; The paper introduced the [[Transformer (machine learning model)|Transformer model]], which uses  [[Attention (machine learning)|self-attention]] mechanisms instead of recurrence for [[Seq2seq|sequence-to-sequence]] tasks.&lt;br /&gt;
&lt;br /&gt;
The Transformer architecture has become foundational to modern language models and [[Natural language processing|NLP]] systems, including [[BERT (language model)|BERT]] (2018),&amp;lt;ref&amp;gt;{{Cite arXiv|title=BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding|first1=Jacob|last1=Devlin|first2=Ming-Wei|last2=Chang|first3=Kenton|last3=Lee|first4=Kristina|last4=Toutanova|date=May 24, 2019|class=cs.CL |eprint=1810.04805}}&amp;lt;/ref&amp;gt; [[GPT-2]], [[GPT-3]] (2019–2020) and many more recent models. The &amp;quot;Attention Is All You Need&amp;quot; paper is among the most cited papers in machine learning.&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
{{Reflist}}&lt;br /&gt;
&lt;br /&gt;
{{Authority control}}&lt;br /&gt;
&lt;br /&gt;
{{DEFAULTSORT:Vaswani, Ashish}}&lt;br /&gt;
[[Category:1986 births]]&lt;br /&gt;
[[Category:Living people]]&lt;br /&gt;
[[Category:Computer scientists]]&lt;br /&gt;
[[Category:Indian computer scientists]]&lt;br /&gt;
[[Category:American Hindus]]&lt;br /&gt;
[[Category:Birla Institute of Technology, Mesra, alumni]]&lt;br /&gt;
[[Category:USC Viterbi School of Engineering alumni]]&lt;br /&gt;
[[Category:Google employees]]&lt;/div&gt;</summary>
		<author><name>ClaytonFogg</name></author>
	</entry>
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