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In this Frontiers Forum Deep Dive session on 12 February, Prof Kaushik Roy, Prof Arijit Raychowdhury, and Dr Tanvi Sharma explored their Frontiers in Science lead article ‘Breaking the memory wall: next-generation artificial intelligence hardware.’ The session brought together the article’s authors and expert panel member, Prof R. Stanley Williams to discuss how next generation AI hardware—powered by brain inspired algorithms—can break the memory wall and enable faster, more efficient, and adaptable AI. Links: • View the Frontiers in Science lead article at: https://fro.ntiers.in/HGES1KWm7Yb • View the Frontiers in Science article hub at: https://www.frontiersin.org/journals/... Speakers: • Prof Kaushik Roy | Purdue University, USA • Prof Arijit Raychowdhury | Georgia Institute of Technology, USA • Dr Tanvi Sharma | NVIDIA, USA • Prof R. Stanley Williams | Texas A&M University, USA INTRODUCTION 00:00:07 Welcome and introduction | Gareth Mitchell | Assistant Professor, Science Communication, Imperial College London, UK PRESENTATIONS 00:05:19 Breaking the memory wall | Prof Kaushik Roy | Purdue University, USA 00:31:45 Memory-centric AI architechture: practical design considerations | Prof Arijit Raychowdhury | Georgia Institute of Technology, USA PANEL DISCUSSION & AUDIENCE Q&A 00:45:07 Introduction of panel session | Gareth Mitchell | Assistant Professor, Science Communication, Imperial College London, UK 00:46:43 Panel discussion | Gareth Mitchell | Assistant Professor, Science Communication, Imperial College London, UK CONCLUSION 01:17:59 Closing remarks from panel members Frontiers in Science Deep Dive sessions bring researchers, policy experts, and innovators together from around the world, to discuss a specific area of transformational science published in Frontiers' flagship multidisciplinary journal, Frontiers in Science, and explore next steps for the field. Watch previous sessions at https://forum.frontiersin.org