tinyML Talks: Better productivity leveraging AI community driven interoperability

Date

July 20, 2021

Location

Virtual

Contact us

Discussion

Schedule

Timezone: PDT

Better productivity leveraging AI community driven interoperability

Danilo PAU, Technical Director, IEEE and ST Fellow

STMicroelectronics Italia

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.

Danilo PAU, Technical Director, IEEE and ST Fellow

STMicroelectronics Italia

Danilo Pau – Technical Director, IEEE & ST Fellow – System Research and Applications
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 is an IEEE Fellow, serves as Industry Ambassador coordinator for IEEE Region 8 South Europe 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, 98 publications, 113 MPEG authored documents and more than 37 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 in Italy, US, France and India.

Schedule subject to change without notice.