{"id":3270,"date":"2024-09-04T17:09:39","date_gmt":"2024-09-04T09:09:39","guid":{"rendered":"https:\/\/metc.astri.org\/?post_type=tribe_events&p=3270"},"modified":"2024-10-08T02:45:36","modified_gmt":"2024-09-30T08:29:10","slug":"asih-seminar-ai-chips-machine-learning-platforms","status":"publish","type":"tribe_events","link":"https:\/\/metc.astri.org\/zh\/event\/asih-seminar-ai-chips-machine-learning-platforms\/","title":{"rendered":"ASIH Seminar- AI Chips & Machine Learning Platforms"},"content":{"rendered":"

AI chips play a crucial role in the rapid advancement of machine learning. Compared to traditional computing architectures, specialised AI chips provide higher processing power and energy efficiency, significantly accelerating deep learning algorithms. These advanced hardware solutions enhance data processing speeds and optimise both model training and inference.<\/p>\n

 <\/p>\n

ASTRI has brought together three industry experts to analyse how AI chips drive progress in machine learning technologies and explore practical applications in different industries.<\/p>\n

 <\/p>\n

Session 1:On-Device AI: Pushing the Boundaries of Machine Intelligence<\/strong><\/h6>\n

Dr Helen Li<\/p>\n

Chief Engineer, Advanced Electronic Components and Systems, ASTRI<\/p>\n

 <\/p>\n

Session 2:Hardware Accelerator for Financial Computing<\/strong><\/p>\n

Prof Maolin Wang<\/p>\n

Research Assistant Professor, ACCESS and HKUST<\/p>\n

 <\/p>\n

Session 3:Generative AI and Its Application to the Industry<\/strong><\/p>\n

Dr Charles Cheung<\/p>\n

Adjunct Associate Professor, Hong Kong Baptist University<\/p>\n

 <\/p>\n

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AI chips play a crucial role in the rapid advancement of machine learning. 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