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Artificial Intelligence & Sustainability | Prof. Peter Shaw

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Manage episode 313269908 series 3264497
コンテンツは Eco Amet Solutions によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャスト コンテンツは、Eco Amet Solutions またはそのポッドキャスト プラットフォーム パートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.player.fm/legal

Prof. Peter Shaw joined the Podcast to the research stories segment to chat on Artificial Intelligence & Sustainability. We talked about how he got into computer science and how he uses AI to make a significant impact in the medical field. More significantly, we discussed how AI can be applied in sustainability.

Prof. Peter Shaw is an Australian computer scientist with extensive applications in artificial intelligence, which he has been doing for more than a decade now. His research interests include FPT algorithms; medical research in cancer treatments, enhanced machine learning network models among others. He is currently working at the Nanjing University of Information Science and Technology. Prof Peter Shaw has many high-level SCI publications as well as several distinguished academic and industry awards, including an Emmy Technology & Engineering award and the Jiangsu 100 Foreign Talent research grant. He is keenly interested in AI and sustainability and desires to share his knowledge wherever he goes.

Follow Peter research here: https://www.researchgate.net/profile/Peter-Shaw-10.

Get in touch with us via mail: glcpodcast@ecoametsolutions.com

Eco Amet Solutions is looking forward to sharing knowledge and education with the public. At the same time, we support startups, workshops, conferences, and environmental R&D. Visit our website and social media platforms (Facebook, Instagram, LinkedIn, @ecoametsolutions and Twitter @GLCpodcast) for details. Let's build up this community and learn together.

Please share this Podcast with your connection using this link: https://linktr.ee/ecoametsolutions; share your thoughts and let us get interactive.

Be INFORMED! and share with whoever needs to hear this.

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100 つのエピソード

Artwork
iconシェア
 
Manage episode 313269908 series 3264497
コンテンツは Eco Amet Solutions によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャスト コンテンツは、Eco Amet Solutions またはそのポッドキャスト プラットフォーム パートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.player.fm/legal

Prof. Peter Shaw joined the Podcast to the research stories segment to chat on Artificial Intelligence & Sustainability. We talked about how he got into computer science and how he uses AI to make a significant impact in the medical field. More significantly, we discussed how AI can be applied in sustainability.

Prof. Peter Shaw is an Australian computer scientist with extensive applications in artificial intelligence, which he has been doing for more than a decade now. His research interests include FPT algorithms; medical research in cancer treatments, enhanced machine learning network models among others. He is currently working at the Nanjing University of Information Science and Technology. Prof Peter Shaw has many high-level SCI publications as well as several distinguished academic and industry awards, including an Emmy Technology & Engineering award and the Jiangsu 100 Foreign Talent research grant. He is keenly interested in AI and sustainability and desires to share his knowledge wherever he goes.

Follow Peter research here: https://www.researchgate.net/profile/Peter-Shaw-10.

Get in touch with us via mail: glcpodcast@ecoametsolutions.com

Eco Amet Solutions is looking forward to sharing knowledge and education with the public. At the same time, we support startups, workshops, conferences, and environmental R&D. Visit our website and social media platforms (Facebook, Instagram, LinkedIn, @ecoametsolutions and Twitter @GLCpodcast) for details. Let's build up this community and learn together.

Please share this Podcast with your connection using this link: https://linktr.ee/ecoametsolutions; share your thoughts and let us get interactive.

Be INFORMED! and share with whoever needs to hear this.

Credit

  continue reading

100 つのエピソード

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