Company News
TechInnovation @SG 2016
September 20-21, 2016 | Event
Panasonic R&D Center Singapore partook in TechInnovation 2016 as one of the exhibitors to appeal to local collaboration through crowd-sourcing and crowd-pitching. TechInnovation has been a technology-industry brokerage event organized by IPI Singapore since 2012. It serves as a platform to bring together international and Singapore technology providers and seekers to explore technology and business collaboration opportunities through open innovation, and this year it successfully attracted over 2,700 participants from about 40 nations. At this, PIPM (Panasonic Intellectual Property Management Co., Ltd.), as Panasonic R&D Center Singapore’s co-exhibitor, hit a great success in attracting many enquiries and interests in their technology offer through licensing, while IPG of Panasonic R&D Center Singapore gained extensive exposure and further established a presence in the local technology market.
Related Posts
Panasonic R&D Center Singapore Won a Silver Medal in a Kaggle Competition
Panasonic R&D Center Singapore won a silver medal in a Kaggle competition titled “Petfinder.my – Pawpularity Contest”, which started on…
Read morePanasonic Tops the IROS 2018 Mobile Manipulation Hackathon Competition 2018 as First-Place Winner
Panasonic R&D Center Singapore teamed up with the Nanyang Technological University to take part in the IROS Mobile Manipulation Hackathon…
Read morePanasonic Auto Tracking Software Key AW-SF100/200 Powered by Panasonic R&D Center Singapore’s Face Recognition Module
Panasonic R&D Center Singapore’s Face Recognition module has been incorporated into the latest version of the Panasonic Auto Tracking Software…
Read moreJoint 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.
Read more
