Company News

1-day Design Thinking Workshop @Singapore Polytechnic

December 21, 2016 | Event

We believe creativity is an essential skill for our members trying to make a difference in their work at Panasonic R&D Center Singapore. At this, in collaboration with LWC-S (Live Well Collaborative Singapore) which is based at Singapore Polytechnic, Panasonic R&D Center Singapore organized a one-day design thinking workshop for Panasonic R&D Center Singapore’s members on December 21, 2016. Run by LWC-S to offer Panasonic R&D Center Singapore’s members the chance to be exposed to Design Thinking, the workshop was a fun-filled one-day crash course in design thinking through which Panasonic R&D Center Singapore’s members learned how to unlock their creative potential and enhance their capacity for driving innovation within Panasonic R&D Center Singapore.

Back

Share

IP Week @ SG 2016

The Intellectual Property Group (IPG) of Panasonic R&D Center Singapore (PRDCSG) participated, as one of the exhibitors, in IP Ecosystem…

Mr. Philip Ong of Panasonic R&D Center Singapore has been awarded EnterpriseSG-SSC/SAC Commendation Award

Enterprise Singapore has awarded Mr. Philip Ong with EnterpriseSG-SSC/SAC Commendation Award 2022 for the contribution to the Singapore Standardization Programme…

Panasonic R&D Center Singapore participated in TechInnovation 2017

Panasonic R&D Center Singapore had a presence at TechInnovation 2017, a technology-industry brokerage event organized by IPI Singapore at Sands Expo & Convention Centre on 19-20 September 2017, to exhibit 12 posters featuring technologies such as artificial intelligence, autonomous driving, data analytics, wireless communications, etc.

Joint collaborations with I2R: achieved the No. 2 position at MEC 2017 plus a paper accepted at ICMI 2017

In collaboration with the Institute for Infocomm Research (I2R), Panasonic R&D Center Singapore achieved the No. 2 position in the audio-visual emotion recognition sub-challenge of the Multimodal Emotion Recognition Challenge (MEC) 2017. The challenge (*1) is aimed at the comparison of multimedia processing and machine learning methods for automatic audio and visual emotion analysis.