We held our next tinyML Talks webcast. Danilo Pau from STMicroelectronics presented Better productivity leveraging AI community driven interoperability on July 20, 2021.
Is artificial intelligence a technological fad? Why are resource-constrained AI and tinyML important? Reviewing the milestones of AI and learning more about the benefits of resource-constrained AI is essential to overcome the limitations of a centralized approach to AI. To address the challenges and opportunities in data processing closer to sensors and in real time, ST offers a unique 5-step method with a set of related tools to automatically deploy pre-trained neural networks on IoT (STM32) and Automotive (SPC58) microcontrollers, as well as machine learning for in-sensor computing.
One year before graduating from the Polytechnic University of Milan in 1992, Danilo PAU joined STMicroelectronics, where he worked on HDMAC and MPEG2 video memory reduction, video coding, embedded graphics, and computer vision. Today, his work focuses on developing solutions for deep learning tools and applications. Since 2019 Danilo has been an IEEE Fellow. Currently serves as a member of IEEE Region 8 Action for Industry and Member of the Machine Learning, Deep Learning and AI in the CE (MDA) Technical Stream Committee IEEE Consumer Electronics Society (CESoc). With over 80 patents, 104 publications, 113 MPEG authored documents and 39 invited talks/seminars at various worldwide Universities and Conferences, Danilo’s favorite activity remains mentoring undergraduate students, MSc engineers and PhD students from various universities.
Watch on YouTube:
Download presentation slides:
Feel free to ask your questions on this thread and keep the conversation going!