The Contributors to Today's AI Technology - EDUCATION

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Wednesday, July 16, 2025

The Contributors to Today's AI Technology

The Contributors to Today's AI Technology

The title "Godfather of AI" has recently gained popularity. However, according to technologists, due to the complexity and multidimensional nature of artificial intelligence, this achievement belongs not to just one person, but to the collective efforts of many scientists. Through years of research and innovation, AI has reached its current position. Below is a brief introduction to 10 individuals who have played significant roles in the development of AI.

  1. Geoffrey Hinton
    Emeritus Professor at the University of Toronto, known for his research on neural networks. In 2018, he won the Turing Award along with Yann LeCun and Yoshua Bengio. In recent years, he has gained recognition as an advocate for AI safety.
  2. Yoshua Bengio
    Professor of Computer Science at the University of Montreal. He has worked on neural AI and communication structures. In 2022, he became the world's most-cited scientist in the field of AI. He founded Element AI and later acquired the company 'ServiceNow'.
  3. Sam Altman
    CEO of OpenAI. Though not a scientist himself, the announcement of ChatGPT in 2022 marked a revolutionary moment in the development of AI. He has expressed personal concerns about the potential risks of AI.
  4. Yann LeCun
    Professor at New York University. He received the Turing Award in 2018. He was the head of the AI department at Meta and developed video-based AI training technology. He maintains a neutral stance on AI risks.
  5. Fei-Fei Li
    Professor of Computer Science at Stanford University. She made significant contributions to the creation of the ImageNet Challenge. She has served as the Vice President of Google's AI division and as a board member of Twitter.
  6. Stuart Russell
    Professor at the University of California, Berkeley. He has worked on AI and human coexistence. He is a co-author of the book "A Modern Approach to Artificial Intelligence." He has repeatedly warned about the risks of AI technology.
  7. Peter Norvig
    Fellow at Stanford University's Center for Human-Centered AI. He played a key role in Google's search algorithms and AI translation. He has been involved in AI education and research at various institutions.
  8. Tamina Gebru
    Former researcher at Google’s Ethical AI team. She faced controversy for her research on bias in machine learning. Later, she founded the Distributed AI Research Institute.
  9. Andrew Ng
    Co-founder of the Google Brain project. He has worked on neural networks and machine learning. He was Chief Scientist at Baidu. Through platforms like Coursera and DeepLearning.AI, he contributed to spreading AI education.
  10. Daphne Koller
    Co-founder of Insitro, an AI-based pharmaceutical company. She was the Chief Computing Officer at Google’s Calico. She has published over 300 research papers and believes that AI can play a supportive role in improving human life.


āϝাāĻĻেāϰ āĻ…āĻŦāĻĻাāύে āφāϜāĻ•েāϰ āĻ…āĻŦāϏ্āĻĨাāύে āĻāφāχ āĻĒ্āϰāϝুāĻ•্āϤি

āĻāφāχ-⧟েāϰ āĻ—āĻĄāĻĢাāĻĻাāϰāωāĻĒাāϧিāϟি āϏāĻŽ্āĻĒ্āϰāϤি āϜāύāĻĒ্āϰি⧟ āĻšā§Ÿে āωāĻ েāĻ›ে āϤāĻŦে āĻĒ্āϰāϝুāĻ•্āϤিāĻŦিāĻĻāĻĻেāϰ āĻŽāϤে, āĻ•ৃāϤ্āϰিāĻŽ āĻŦুāĻĻ্āϧিāĻŽāϤ্āϤাāϰ āϜāϟিāϞāϤা āĻ“ āĻŦāĻšুāĻŽাāϤ্āϰিāĻ•āϤাāϰ āĻ•াāϰāĻŖে āĻāχ āĻ•ৃāϤিāϤ্āĻŦ āĻ•েāĻŦāϞ āĻāĻ•āϜāύেāϰ āύ⧟ āĻŦāϰং āĻāϟি āĻ…āύেāĻ• āĻŦিāϜ্āĻžাāύীāϰ āϏāĻŽ্āĻŽিāϞিāϤ āĻĒ্āϰ⧟াāϏেāϰ āĻĢāϞ

āĻŦāĻ›āϰেāϰ āĻĒāϰ āĻŦāĻ›āϰ āϧāϰে āĻ—āĻŦেāώāĻŖা āĻ“ āωāĻĻ্āĻ­াāĻŦāύেāϰ āĻŽাāϧ্āϝāĻŽে āĻāφāχ āφāϜāĻ•েāϰ āĻ…āĻŦāϏ্āĻĨাāύে āĻāϏেāĻ›ে āύীāϚে āĻāĻŽāύ ā§§ā§Ļ āϜāύ āĻŦ্āϝāĻ•্āϤিāϰ āϏংāĻ•্āώিāĻĒ্āϤ āĻĒāϰিāϚ⧟ āĻĻে⧟া āĻšāϞো, āϝাāϰা āĻāφāχ-āĻāϰ āĻŦিāĻ•াāĻļে āĻ—ুāϰুāϤ্āĻŦāĻĒূāϰ্āĻŖ āĻ­ূāĻŽিāĻ•া āϰেāĻ–েāĻ›েāύ

ā§§. āϜিāĻ“āĻĢ্āϰে āĻšিāύ্āϟāύ

āϟāϰāύ্āϟো āĻŦিāĻļ্āĻŦāĻŦিāĻĻ্āϝাāϞ⧟েāϰ āĻ…āϧ্āϝাāĻĒāĻ• āĻāĻŽেāϰিāϟাāϏ āύিāωāϰাāϞ āύেāϟāĻ“ā§Ÿাāϰ্āĻ• āύি⧟ে āĻ—āĻŦেāώāĻŖাāϰ āϜāύ্āϝ āĻ–্āϝাāϤ ⧍ā§Ļā§§ā§Ž āϏাāϞে āĻ‡ā§Ÿাāύ āϞেāĻ•ুāύ āĻ“ āĻ‡ā§ŸোāĻļু⧟া āĻŦেāĻ™্āĻ—িāĻ“āϰ āϏাāĻĨে āϟুāϰিং āĻĒুāϰāϏ্āĻ•াāϰ āĻĒাāύ āϏাāĻŽ্āĻĒ্āϰāϤিāĻ• āĻŦāĻ›āϰāĻ—ুāϞোāϤে āϤিāύি āĻāφāχ āύিāϰাāĻĒāϤ্āϤাāϰ āĻāĻ•āϜāύ āĻĒ্āϰāĻŦāĻ•্āϤা āĻšিāϏেāĻŦে āĻĒāϰিāϚিāϤ

⧍. āχāϝ়োāĻļুāϝ়া āĻŦেāĻ™্āĻ—িāĻ“

āĻŽāύ্āϟ্āϰিāϞ āĻŦিāĻļ্āĻŦāĻŦিāĻĻ্āϝাāϞ⧟েāϰ āĻ•āĻŽ্āĻĒিāωāϟাāϰ āĻŦিāϜ্āĻžাāύেāϰ āĻ…āϧ্āϝাāĻĒāĻ• āύিāωāϰাāϞ āĻāφāχ āĻ“ āϝোāĻ—াāϝোāĻ— āĻ•াāĻ াāĻŽো āύি⧟ে āĻ•াāϜ āĻ•āϰেāĻ›েāύ ⧍ā§Ļ⧍⧍ āϏাāϞে āĻāφāχ-āϤে āĻŦিāĻļ্āĻŦেāϰ āϏāϰ্āĻŦাāϧিāĻ• āωāĻĻ্āϧৃāϤ āĻŦিāϜ্āĻžাāύী āĻšāύ āϤিāύি āĻāϞিāĻŽেāύ্āϟ āĻāφāχ āĻĒ্āϰāϤিāώ্āĻ া āĻ•āϰেāύ āĻāĻŦং āĻĒāϰেāϏাāϰ্āĻ­িāϏ āύাāωāĻ•োāĻŽ্āĻĒাāύিāϟি āĻ…āϧিāĻ—্āϰāĻšāĻŖ āĻ•āϰে

ā§Š. āϏ্āϝাāĻŽ āĻ…āϞ্āϟāĻŽ্āϝাāύ

āĻ“āĻĒেāύāĻāφāχ-āĻāϰ āϏিāχāĻ“ āϝāĻĻিāĻ“ āϤিāύি āĻŦিāϜ্āĻžাāύী āύāύ, āϤāĻŦুāĻ“ āϚ্āϝাāϟāϜিāĻĒিāϟিāϰ āϘোāώāĻŖা (⧍ā§Ļ⧍⧍) āĻāφāχ-āĻāϰ āĻŦিāĻ•াāĻļে āĻŦিāĻĒ্āϞāĻŦ āϘāϟা⧟ āĻāφāχ āύি⧟ে āϏāĻŽ্āĻ­াāĻŦ্āϝ āĻুঁāĻ•ি āύি⧟ে āĻŦ্āϝāĻ•্āϤিāĻ—āϤāĻ­াāĻŦে āωāĻĻ্āĻŦিāĻ—্āύ āĻŦāϞেāĻ“ āϜাāύি⧟েāĻ›েāύ

ā§Ē. āχāϝ়াāύ āϞেāĻ•ুāύ

āύিāω āχāϝ়āϰ্āĻ• āĻŦিāĻļ্āĻŦāĻŦিāĻĻ্āϝাāϞāϝ়েāϰ āĻ…āϧ্āϝাāĻĒāĻ• ⧍ā§Ļā§§ā§Ž āϏাāϞে āϟুāϰিং āĻĒুāϰāϏ্āĻ•াāϰāĻĒ্āϰাāĻĒ্āϤ āĻŽেāϟাāϤে āĻāφāχ āĻŦিāĻ­াāĻ—েāϰ āĻĒ্āϰāϧাāύ āĻ›িāϞেāύ āĻāĻŦং āĻ­িāĻĄিāĻ“āĻ­িāϤ্āϤিāĻ• āĻāφāχ āĻĒ্āϰāĻļিāĻ•্āώāĻŖ āĻĒ্āϰāϝুāĻ•্āϤি āϤৈāϰি āĻ•āϰেāύ āĻāφāχ āĻুঁāĻ•ি āύি⧟ে āύিāϰāĻĒেāĻ•্āώ āĻ…āĻŦāϏ্āĻĨাāύ āĻĒোāώāĻŖ āĻ•āϰেāύ

ā§Ģ. āĻĢেāχ-āĻĢেāχ āϞি

āϏ্āϟ্āϝাāύāĻĢোāϰ্āĻĄ āĻŦিāĻļ্āĻŦāĻŦিāĻĻ্āϝাāϞāϝ়েāϰ āĻ•āĻŽ্āĻĒিāωāϟাāϰ āĻŦিāϜ্āĻžাāύেāϰ āĻ…āϧ্āϝাāĻĒāĻ• āχāĻŽেāϜāύেāϟ āϚ্āϝাāϞেāĻž্āϜ āϤৈāϰিāϤে āĻŦিāĻļেāώ āĻ…āĻŦāĻĻাāύ āϰ⧟েāĻ›ে āĻ—ুāĻ—āϞেāϰ āĻāφāχ āĻŦিāĻ­াāĻ—েāϰ āĻ­াāχāϏ āĻĒ্āϰেāϏিāĻĄেāύ্āϟ āĻ“ āϟুāχāϟাāϰেāϰ āĻŦোāϰ্āĻĄ āϏāĻĻāϏ্āϝ āĻ›িāϞেāύ

ā§Ŧ. āϏ্āϟুāϝ়াāϰ্āϟ āϰাāϏেāϞ

āĻ•্āϝাāϞিāĻĢোāϰ্āύিāϝ়া āĻŦিāĻļ্āĻŦāĻŦিāĻĻ্āϝাāϞāϝ়, āĻŦাāϰ্āĻ•āϞেāϰ āĻ…āϧ্āϝাāĻĒāĻ• āĻāφāχ āĻ“ āĻŽাāύুāώেāϰ āϏāĻšাāĻŦāϏ্āĻĨাāύ āύি⧟ে āĻ•াāϜ āĻ•āϰেāĻ›েāύ ‘A Modern Approach to Artificial Intelligence āĻŦāĻ‡ā§Ÿেāϰ āϏāĻš-āϞেāĻ–āĻ• āĻāφāχ āĻĒ্āϰāϝুāĻ•্āϤিāϰ āĻুঁāĻ•ি āϏāĻŽ্āĻĒāϰ্āĻ•ে āĻŦāĻšুāĻŦাāϰ āϏāϤāϰ্āĻ• āĻ•āϰেāĻ›েāύ

ā§­. āĻĒিāϟাāϰ āύāϰāĻ­িāĻ—

āϏ্āϟ্āϝাāύāĻĢোāϰ্āĻĄ āĻŦিāĻļ্āĻŦāĻŦিāĻĻ্āϝাāϞāϝ়েāϰ āϏেāύ্āϟাāϰ āĻĢāϰ āĻšিāωāĻŽ্āϝাāύ-āϏেāύ্āϟাāϰ্āĻĄ āĻāφāχ-āĻāϰ āĻĢেāϞো āĻ—ুāĻ—āϞে āĻ…āύুāϏāύ্āϧাāύ āĻ…্āϝাāϞāĻ—āϰিāĻĻāĻŽ āĻ“ āĻāφāχ āĻ…āύুāĻŦাāĻĻে āĻ—ুāϰুāϤ্āĻŦāĻĒূāϰ্āĻŖ āĻ­ূāĻŽিāĻ•া āϰেāĻ–েāĻ›েāύ āĻāφāχ āĻļিāĻ•্āώা āĻ“ āĻ—āĻŦেāώāĻŖা⧟ āĻāĻ•াāϧিāĻ• āĻĒ্āϰāϤিāώ্āĻ াāύে āϝুāĻ•্āϤ āĻ›িāϞেāύ

ā§Ž. āϤাāĻŽাāύিāϤ āĻ—েāĻŦ্āϰু

āĻ—ুāĻ—āϞেāϰ āĻāĻĨিāĻ•্āϝাāϞ āĻāφāχ āϟিāĻŽেāϰ āĻ—āĻŦেāώāĻ• āĻ›িāϞেāύ āĻŽেāĻļিāύ āϞাāϰ্āύিং⧟ে āĻĒāĻ•্āώāĻĒাāϤ āύি⧟ে āĻ—āĻŦেāώāĻŖা āĻ•āϰে āĻŦিāϤāϰ্āĻ•েāϰ āĻŽুāĻ–ে āĻĒ⧜েāύ āĻĒāϰে āĻĄিāϏ্āϟ্āϰিāĻŦিāωāϟেāĻĄ āĻāφāχ āϰিāϏাāϰ্āϚ āχāύāϏ্āϟিāϟিāωāϟ āĻĒ্āϰāϤিāώ্āĻ া āĻ•āϰেāύ

⧝. āĻ…্āϝাāύ্āĻĄ্āϰু āĻāύāϜি

āĻ—ুāĻ—āϞ āĻŦ্āϰেāύ āĻĒ্āϰāĻ•āϞ্āĻĒেāϰ āϏāĻš-āĻĒ্āϰāϤিāώ্āĻ াāϤা āύিāωāϰাāϞ āύেāϟāĻ“ā§Ÿাāϰ্āĻ• āĻ“ āĻŽেāĻļিāύ āϞাāϰ্āύিং āύি⧟ে āĻ•াāϜ āĻ•āϰেāĻ›েāύ āĻŦাāχāĻĻুāϤে āĻĒ্āϰāϧাāύ āĻŦিāϜ্āĻžাāύী āĻ›িāϞেāύ āĻ•োāϰ্āϏেāϰা āĻ“ āĻĄিāĻĒāϞাāϰ্āύিং āĻāφāχ-āĻāϰ āĻŽাāϧ্āϝāĻŽে āĻāφāχ āĻļিāĻ•্āώা āĻ›ā§œাāϤে āĻ­ূāĻŽিāĻ•া āϰাāĻ–েāύ

ā§§ā§Ļ. āĻĄ্āϝাāĻĢāύি āĻ•োāϞাāϰ

āχāύāϏিāϟ্āϰো āύাāĻŽāĻ• āĻāφāχ-āĻ­িāϤ্āϤিāĻ• āĻ“āώুāϧ āĻ•োāĻŽ্āĻĒাāύিāϰ āϏāĻš-āĻĒ্āϰāϤিāώ্āĻ াāϤা āĻ—ুāĻ—āϞেāϰ āĻ•্āϝাāϞিāĻ•োāϤে āĻĒ্āϰāϧাāύ āĻ•āĻŽ্āĻĒিāωāϟিং āĻ…āĻĢিāϏাāϰ āĻ›িāϞেāύ ā§Šā§Ļā§ĻāϟিāϰāĻ“ āĻŦেāĻļি āĻ—āĻŦেāώāĻŖাāĻĒāϤ্āϰ āĻĒ্āϰāĻ•াāĻļ āĻ•āϰেāĻ›েāύ āĻāφāχ-āĻ•ে āĻŽাāύāĻŦ āϜীāĻŦāύেāϰ āωāύ্āύ⧟āύে āϏāĻšা⧟āĻ• āĻŦāϞে āĻŽāύে āĻ•āϰেāύ

āĻāφāχ: āĻĻāĻļ āĻĒāĻĨিāĻ•ৃā§Ž āĻ“ āϤাঁāĻĻেāϰ āĻ…āĻŦāĻĻাāύ 

āĻāχ āύিāĻŦāύ্āϧāϟি āĻ•ৃāϤ্āϰিāĻŽ āĻŦুāĻĻ্āϧিāĻŽāϤ্āϤা (āĻāφāχ) āĻĒ্āϰāϝুāĻ•্āϤিāϰ āĻ…āĻ—্āϰāĻ—āϤিāϤে āĻ…āĻŦāĻĻাāύ āϰাāĻ–া āĻĻāĻļāϜāύ āĻŦিāϜ্āĻžাāύী āĻ“ āωāĻĻ্āĻ­াāĻŦāĻ•āĻ•ে āĻĒāϰিāϚāϝ় āĻ•āϰিāϝ়ে āĻĻেāϝ়। āĻāϟি āφāϞোāϚāύা āĻ•āϰে āϝে āĻ•িāĻ­াāĻŦে āĻāφāχ-āĻāϰ āĻŦāϰ্āϤāĻŽাāύ āĻ…āĻŦāϏ্āĻĨাāύ āĻāĻ•āϜāύ āĻŦ্āϝāĻ•্āϤিāϰ āĻāĻ•āĻ• āĻ•ৃāϤিāϤ্āĻŦ āύāϝ়, āĻŦāϰং āĻ…āύেāĻ• āĻ—āĻŦেāώāĻ•েāϰ āϏāĻŽ্āĻŽিāϞিāϤ āĻĒ্āϰāϚেāώ্āϟাāϰ āĻĢāϞ। āύিāĻŦāύ্āϧে āωāϞ্āϞেāĻ–িāϤ āĻŦ্āϝāĻ•্āϤিāϰা āϜিāĻ“āĻĢ্āϰে āĻšিāύ্āϟāύ āĻāĻŦং āχāϝ়োāĻļুāϝ়া āĻŦেāĻ™্āĻ—িāĻ“āϰ āĻŽāϤো āύিāωāϰাāϞ āύেāϟāĻ“āϝ়াāϰ্āĻ•েāϰ āĻĒāĻĨিāĻ•ৃā§Ž āĻĨেāĻ•ে āĻļুāϰু āĻ•āϰে āϏ্āϝাāĻŽ āĻ…āϞ্āϟāĻŽ্āϝাāύেāϰ āĻŽāϤো āĻāφāχ āĻĒ্āϰāϝুāĻ•্āϤিāϰ āĻŦাāĻŖিāϜ্āϝিāĻ•ীāĻ•āϰāĻŖে āĻ—ুāϰুāϤ্āĻŦāĻĒূāϰ্āĻŖ āĻ­ূāĻŽিāĻ•া āĻĒাāϞāύāĻ•াāϰী āĻŦ্āϝāĻ•্āϤিāϰাāĻ“ āĻ…āύ্āϤāϰ্āĻ­ুāĻ•্āϤ। āĻāϟি āφāϰāĻ“ āĻĻেāĻ–াāϝ় āϝে āĻ•িāĻ­াāĻŦে āĻāχ āĻŦ্āϝāĻ•্āϤিāϰা āĻāφāχ āĻ—āĻŦেāώāĻŖাāϰ āĻŦিāĻ­িāύ্āύ āĻ•্āώেāϤ্āϰে, āϝেāĻŽāύ āχāĻŽেāϜ āϰিāĻ•āĻ—āύিāĻļāύ, āύৈāϤিāĻ• āĻāφāχ, āĻāĻŦং āĻŽেāĻļিāύ āϞাāϰ্āύিংāϝ়ে āĻ…āĻŦāĻĻাāύ āϰেāĻ–েāĻ›েāύ, āĻāĻŦং āϤাāĻĻেāϰ āĻŽāϧ্āϝে āĻ•েāω āĻ•েāω āĻāφāχ-āĻāϰ āϏāĻŽ্āĻ­াāĻŦ্āϝ āĻুঁāĻ•ি āϏāĻŽ্āĻĒāϰ্āĻ•ে āωāĻĻ্āĻŦেāĻ— āĻĒ্āϰāĻ•াāĻļ āĻ•āϰেāĻ›েāύ, āφāĻŦাāϰ āĻ•েāω āĻ•েāω āĻāϰ āχāϤিāĻŦাāϚāĻ• āĻĒ্āϰāĻ­াāĻŦেāϰ āωāĻĒāϰ āϜোāϰ āĻĻিāϝ়েāĻ›েāύ।

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