Draft:Ritvik Nayak

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{{AFC comment|1=Please remove all inline external links from body text; convert to citations where relevant. There should be no links pointing to external resources until the footnotes in the 'References' section. DoubleGrazing (talk) 10:22, 29 December 2024 (UTC)}}

{{AFC comment|1=Referenced almost entirely with user-generated sources (Medium, LinkedIn, Twitter, YouTube), which are not considered reliable. DoubleGrazing (talk) 10:21, 29 December 2024 (UTC)}}

{{AFC comment|1=blogs such as medium.com are very rarely independent reliable sources - see WP:MEDIUM KylieTastic (talk) 12:35, 30 October 2024 (UTC)}}

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{{Short description|Indian Scientific Researcher}}

{{Draft topics|biography|internet-culture|computing|technology}}

{{AfC topic|blp}}

= Ritvik Nayak =

Ritvik Nayak (born 7 March 2013) is an Indian scientific researcher known for his research in the field of computer science and mathematics, particularly in artificial intelligence and machine learning. Despite his young age, Nayak has made significant contributions to the fields by writing and publishing research articles across various publications on the popular online writing and publishing platform Medium. In doing so, he has accumulatively garnered upwards of 1,000 followers.{{Cite web |title=About – Ritvik Nayak |url=https://medium.com/@RitvikNayak |access-date=2024-10-30 |website=Medium |language=en}}

Scientific Research

Nayak first began writing research articles on the online writing and publishing platform Medium as of 28 June 2024 (when his [https://medium.com/the-quantastic-journal/the-cosmic-microwave-background-radiation-the-looking-glass-of-the-universe-5f077642e6d0 first research article] was published).{{Cite web |last=Nayak |first=Ritvik |date=2024-06-30 |title=The Cosmic Microwave Background Radiation: The Looking-Glass of the Past |url=https://medium.com/the-quantastic-journal/the-cosmic-microwave-background-radiation-the-looking-glass-of-the-universe-5f077642e6d0 |access-date=2024-10-29 |website=The Quantastic Journal |language=en}} However, Nayak also writes research articles on mathematical concepts as well, such as his article on Fermat's Last Theorem {{Cite web |last=Nayak |first=Ritvik |date=2024-10-02 |title=Fermat's Last Theorem: The 350-Year-Old Mathematical Drama That Finally Ended |url=https://medium.com/@RitvikNayak/fermats-last-theorem-the-350-year-old-mathematical-drama-that-finally-ended-b4bd73af6b25 |access-date=2024-10-29 |website=Medium |language=en}} and the Hodge Conjecture {{Cite web |last=Nayak |first=Ritvik |date=2024-08-13 |title=Decoding the Hodge Conjecture — A Million Dollar Math Problem |url=https://medium.com/operations-research-bit/decoding-the-hodge-conjecture-a-million-dollar-math-problem-9c9535e9b187 |access-date=2024-10-29 |website=Operations Research Bit |language=en}}. Due to his extensive knowledge in the field of artificial intelligence, Nayak was selected as one of the primary speakers for a panelist event about AI in mid-2024 titled [https://www.youtube.com/watch?v=DmqvrU8O__k 'The Future of AI: Democratizing AI Across Disciplines']. {{Cite web |last=Tang |first=Shunyu (Andy) |date=2024-09-13 |title=The Future of AI: Democratizing AI Across Disciplines |url=https://ai.gopubby.com/the-future-of-ai-democratizing-ai-across-disciplines-f2b2a5082152 |access-date=2024-10-30 |website=Medium |language=en}}{{Cite AV media |url=https://www.youtube.com/watch?v=DmqvrU8O__k&t=1434s |title=The Future of AI: Democratizing AI Across Disciplines {{!}} AI Advances {{!}} Medium Day 2024 |date=2024-09-13 |last=Medium |access-date=2024-12-29 |via=YouTube}}

Mentions And Features

Some of Nayak's research articles have been mentioned by other people and organizations as well. For instance, his viral article [https://medium.com/p/0ca44e1e5b79 'Teaching AI to Think Like A 6ᵗʰ Grader and Learn Like A Child]' (originally published on medium.com December 2, 2024) was posted by the [https://x.com/halfeatenmind HalfEatenMind News Agency (H.E.M News Agency)] on the social media platform Twitter (also known as X).{{Cite web |last=mind |first=halfeaten |date=December 7, 2024 |title=HEM News Agency on X: Teaching AI to Think Like A 6ᵗʰ Grader and Learn like a Child by Ritvik Nayak |url=https://x.com/halfeatenmind/status/1865349449372910037 |access-date=December 29, 2024 |website=x.com}} Additionally, the same research article was posted on Twitter by professor of pediatric surgery - Sergei Minaev.{{Cite web |last=Minaev |first=Sergei |date=December 5, 2024 |title=Sergei Minaev on X: "Teaching AI to Think Like A 6ᵗʰ Grader and Learn like a Child" |url=https://x.com/sminaev2015/status/1864522515692843355 |access-date=December 29, 2024 |website=x.com}} Another one of Nayak's viral articles titled - [https://medium.com/generative-ai/how-ai-can-read-way-better-than-humans-ever-will-3392e09cde8d 'How AI Can Read Way Better than Humans Ever Will…'] (originally published on medium.com on December 14, 2024) was also posted by the HalfEatenMind News Agency (H.E.M News Agency) on Twitter.{{Cite web |last=mind |first=halfeaten |date=December 19, 2024 |title=HEM News Agency on X: "How AI Can Read Way Better than Humans Ever Will... by Ritvik Nayak |url=https://x.com/halfeatenmind/status/1869656343029919934 |access-date=December 29, 2024 |website=x.com}} This exact article was featured in a post by an organization named [https://www.linkedin.com/company/integrated-virtual-systems/ 'Integrated Virtual Systems]' {{Cite web |title=Integrated Virtual Systems on LinkedIn: How AI Can Read Way Better than Humans Ever Will… |url=https://www.linkedin.com/posts/integrated-virtual-systems_how-ai-can-read-way-better-than-humans-ever-activity-7275582973855326208-wHJZ/ |access-date=2024-12-29 |website=www.linkedin.com |language=en}} and [https://www.linkedin.com/in/bleejones B. Lee Jones] on the popular networking website - LinkedIn {{Cite web |title=B. Lee Jones 李琼斯 ,MBA on LinkedIn: How AI Can Read Way Better than Humans Ever Will… |url=https://www.linkedin.com/posts/bleejones_how-ai-can-read-way-better-than-humans-ever-activity-7275583850787823616-r0FT/ |access-date=2024-12-29 |website=www.linkedin.com |language=en}}.

References