Company News

IP Week @ SG 2016

August 22-24, 2016 | Event

The Intellectual Property Group (IPG) of Panasonic R&D Center Singapore (PRDCSG) participated, as one of the exhibitors, in IP Ecosystem Fair, which is a part of the IP Week @ SG 2016 events organized by the Intellectual Property Office of Singapore (IPOS) from August 22nd to 24th. 2016 marked the fifth run of IP Week in Singapore and attracted over 1,000 participants from close to 30 countries, including government officials, leaders from the IP community as well as global business partners to grace the occasion, and offer their insights into the latest trends and developments in IP. While providing abundant networking opportunities among the exhibitors and participants, the fair also serves as a one-stop platform for the ‘Best of Class’ IP intermediaries and service providers to showcase their service offerings.

Share

Related Posts

Panasonic R&D Center Singapore marking the first full-year deployment of our AI-based Visitor Counting solution with the latest technology update at the Singapore Flyer’s Time Capsule

Panasonic R&D Center Singapore deployed our AI-based Visitor Counting solution at the iconic Singapore Flyer – Asia’s largest giant observation…

Read more

Panasonic R&D Center Singapore Takes Second Place at the Second Edition of the AI Driving Olympics

Panasonic R&D Center Singapore finished second among the top 5 teams that made the cut from among the 50 teams in a leading international competition – that is, the second edition of the AI Driving Olympics, where Panasonic R&D Center Singapore is last year’s champion.

Read more

Panasonic ranked #1 in Mugshot category of NIST FRVT 1:1 Challenge

PRDCSG once again kept Panasonic’s flag flying high in the global arena. In the latest Performance Summary of the NIST*…

Read more

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.

Read more