Over 40 students from Shenzhen Longgang Pinganli Secondary School visited ASTRI on 24 October 2016. ASTRI’s R&D experts introduced to them ASTRI’s background and showed them some latest technologies such as facial recognition, Naked Eye 3D and Cyber Range Laboratory.
24 / 10 / 2016
ASTRI wins awards for Energy-Conserving Power Supply System and Intelligent Learning System for SEN Students at Hong Kong ICT Awards 2021
[Hong Kong, 30 November 2021] The Hong Kong Applied Science and Technology Research Institute (ASTRI) has won a Smart Living (Smart Home) Silver Award for its Power Supply System for Carbon Neutral Buildings at the Hong Kong Information and Communications Technology Awards (ICT Awards) 2021 ...
CITIC Telecom CPC and ASTRI Partnership Expands Business Innovation Possibilities With AI-AR Integration
[HONG KONG, 17 November 2021] – CITIC Telecom International CPC Limited (CITIC Telecom CPC), a wholly-owned subsidiary of CITIC Telecom International Holdings Limited (SEHK: 1883), is entering a new phase in its partnership with Hong Kong Applied Science and Technology Research Institute (ASTRI) for using AI and augmented reality (AR) innovation to create unprecedented value and enable exceptional experience in different industries and markets ...
應科院電子封裝科技成果 獲2020年度國家科學技術進步一等獎 (只提供中文版本)
[香港，2021年11月4日] 2020年度國家科學技術獎勵大會於11月3日在北京人民大會堂隆重舉行。香港應用科技研究院（應科院）參與的 ...
Appointment of New Directors to ASTRI Board
[Hong Kong, 21 October 2021] The Hong Kong Applied Science and Technology Research Institute (ASTRI) today announced the appointment of two new Directors and re-appointment of six Directors to the ASTRI Board for the period from 21 October 2021 to 20 October 2023 ...
ASTRI leverages privacy-preserving “Federated Learning” technology to facilitate credit scoring for MSME financing in collaboration with Standard Chartered, PAOB, OpenRice and FreightAmigo
[Hong Kong, 18 October 2021] The Hong Kong Applied Science and Technology Research Institute (ASTRI) joins forces with tech-embracing companies to leverage a privacy-preserving technology, called “Federated Learning”, to develop artificial intelligence (AI) models and output in the form of encrypted parameters that serve as a reference for financial institutions to conduct comprehensive credit analyses for micro, small and medium-sized enterprises (MSMEs) to help them get access to financing ...