{"id":2980,"date":"2024-10-14T11:50:35","date_gmt":"2024-10-14T11:50:35","guid":{"rendered":"https:\/\/ai.aaru.edu.jo\/2025\/?p=2400"},"modified":"2024-10-14T11:50:35","modified_gmt":"2024-10-14T11:50:35","slug":"panels","status":"publish","type":"post","link":"https:\/\/ichss2026.org\/en\/2024\/10\/14\/panels\/","title":{"rendered":"Panels"},"content":{"rendered":"\n

AI for Good: Transforming Science for Global Impact<\/h3>\n\n\n\n

Moderated by Simon See, NVIDIA AI Technology Centre and AI Nation<\/strong><\/p>\n\n\n\n

Embark on a journey of exploration and discovery as we delve into the transformative potential of artificial intelligence (AI) in shaping the future of scientific research for the global good. In this engaging panel discussion, we\u2019ll explore how AI is revolutionising the way we conduct scientific inquiries, tackle global challenges, and advance the greater good of humanity.<\/p>\n\n\n\n

From accelerating scientific discovery and innovation to addressing pressing societal issues such as climate change, healthcare accessibility, drugs and material discovery and food security, AI holds immense promise in amplifying the impact of scientific research on a global scale.<\/p>\n\n\n\n

Join us as our panel of esteemed experts, comprising leading scientists, technologists, policymakers, and advocates, share their insights and perspectives on the role of AI in driving positive change in the world of science.<\/p>\n\n\n\n

Through thought-provoking discussions, real-world case studies, and practical examples, we\u2019ll examine how AI-enabled technologies such as machine learning, data analytics, and predictive modeling are revolutionising research methodologies, enhancing collaboration, and democratising access to scientific knowledge and resources.<\/p>\n\n\n\n

Date<\/strong>: 25 June, 2024
Time<\/strong>: 2:30 pm \u2013 4:00 pm
Venue<\/strong>: Melati Ballroom<\/p>\n\n\n\n

Moderator<\/h5>\n\n\n\n
\n
\"Simon<\/figure>\n<\/div><\/div>\n\n\n\n

Simon SEE<\/strong><\/a>
NVIDIA AI Technology Centre and AI Nation<\/p>\n\n\n\n

Panellists<\/h5>\n\n\n\n
\n
\"Johan<\/figure>\n<\/div><\/div>\n\n\n\n

Johan BARTHELEMY<\/strong>
NVIDIA<\/p>\n\n\n\n

\n
\"Donghao<\/figure>\n<\/div><\/div>\n\n\n\n

Donghao HUANG<\/strong><\/a>
Mastercard<\/p>\n\n\n\n

\n
\"Masashi<\/figure>\n<\/div><\/div>\n\n\n\n

Masashi SUGIYAMA<\/strong><\/a>
RIKEN Center for Advanced Intelligence Project
The University of Tokyo<\/p>\n\n\n\n

\n
\"Teh<\/figure>\n<\/div><\/div>\n\n\n\n

Jing Cong TEH<\/strong>
Alibaba<\/p>\n\n\n\n

Charting the Future: Large Multimodal Models and Generative AI in Industry<\/h3>\n\n\n\n

Moderated by Yao Chu JIN, Westlake University<\/strong><\/p>\n\n\n\n

Join us for a thought-provoking panel discussion as we delve into the realm of large multimodal models and generative AI to explore their potential to revolutionise industries. In recent years, advancements in AI technology have led to the development of increasingly sophisticated models capable of processing and generating diverse types of data, from text and images to audio and beyond.<\/p>\n\n\n\n

But where will these advancements lead us, and will they truly revolutionise the industry as we know it? Our panel of experts, comprising leading researchers, industry professionals, and thought leaders, will examine the implications of large multimodal models and generative AI on various sectors, including healthcare, finance, entertainment, and more.<\/p>\n\n\n\n

Through insightful discussions and real-world examples, we\u2019ll explore the transformative potential of these technologies, their applications in enhancing creativity, decision-making, and problem-solving, as well as the ethical considerations and challenges they pose.<\/p>\n\n\n\n

Whether you\u2019re a researcher, entrepreneur, or industry stakeholder, this panel discussion promises to provide valuable insights into the future trajectory of AI and its impact on industries worldwide. Don\u2019t miss this opportunity to gain a deeper understanding of the possibilities and challenges presented by large multimodal models and generative AI. Join us as we chart the course for the future of AI innovation and industry transformation.<\/p>\n\n\n\n

Date<\/strong>: 25 June, 2024
Time<\/strong>: 4:30 pm \u2013 6:00 pm
Venue<\/strong>: Melati Ballroom<\/p>\n\n\n\n

Moderator<\/h5>\n\n\n\n
\n
\"Yao<\/figure>\n<\/div><\/div>\n\n\n\n

Yao Chu JIN<\/strong><\/a>
Westlake University<\/p>\n\n\n\n

Panellists<\/h5>\n\n\n\n
\n
\"Stefan<\/figure>\n<\/div><\/div>\n\n\n\n

Stefan MENZEL<\/strong><\/a>
Honda Research Institute Europe, Offenbach\/Main<\/p>\n\n\n\n

\n
\"Klaus<\/figure>\n<\/div><\/div>\n\n\n\n

Klaus-Robert M\u00dcLLER<\/a><\/strong>
Technische Universit\u00e4t Berlin<\/p>\n\n\n\n

\n
\"Xu<\/figure>\n<\/div><\/div>\n\n\n\n

Cong XU<\/strong><\/a>
Hewlett Packard Enterprise<\/p>\n\n\n\n

\n
\"Qiang<\/figure>\n<\/div><\/div>\n\n\n\n

Qiang YANG<\/strong><\/a>
Hong Kong University of Science and Technology<\/p>\n","protected":false},"excerpt":{"rendered":"

AI for Good: Transforming Science for Global Impact Moderated by Simon See, NVIDIA AI Technology Centre and AI Nation Embark on a journey of exploration and discovery as we delve into the transformative potential of artificial intelligence (AI) in shaping the future of scientific research for the global good. In this engaging panel discussion, we\u2019ll […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":true,"template":"","format":"standard","meta":{"footnotes":""},"categories":[24],"tags":[],"booktics_service_category":[],"class_list":["post-2980","post","type-post","status-publish","format-standard","hentry","category-programme"],"_links":{"self":[{"href":"https:\/\/ichss2026.org\/en\/wp-json\/wp\/v2\/posts\/2980","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ichss2026.org\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ichss2026.org\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ichss2026.org\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ichss2026.org\/en\/wp-json\/wp\/v2\/comments?post=2980"}],"version-history":[{"count":0,"href":"https:\/\/ichss2026.org\/en\/wp-json\/wp\/v2\/posts\/2980\/revisions"}],"wp:attachment":[{"href":"https:\/\/ichss2026.org\/en\/wp-json\/wp\/v2\/media?parent=2980"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ichss2026.org\/en\/wp-json\/wp\/v2\/categories?post=2980"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ichss2026.org\/en\/wp-json\/wp\/v2\/tags?post=2980"},{"taxonomy":"booktics_service_category","embeddable":true,"href":"https:\/\/ichss2026.org\/en\/wp-json\/wp\/v2\/booktics_service_category?post=2980"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}