This Grand Challenge aims to encourage the development of innovative approaches that increase the robustness of these CV systems, to accelerate the adoption of CV systems in critical environments. In the field of autonomous vehicles (AV), these could result in delays, accidents and potentially, even death. Robust AI Grand Challenge - "How can we design robust CV systems for AVs that can recover at least 80% of their original accuracy after physical testing-time adversarial attacks?" Computer vision (CV) systems based on AI/ML are vulnerable to adversarial attacks which could compromise their safety and security, thus limiting their performance and adoption in critical environments. Each challenge statement was jointly defined by AISG, DSO and FSTD. Researchers from local Institutes of Higher Learning (IHLs) and Research Institutes (RIs), along with their collaborators from the public and/or private sectors, were invited to propose ground-breaking research ideas that adopt AI techniques to address both Grand Challenges' statements. Robust AI and AI for Materials Discovery Grand Challenges AISG's Grand Challenge programme takes an outcome-driven approach to solve important problems faced by Singapore and the world through multidisciplinary collaboration and translation of AI-based solutions from research to deployment. We believe that there is potential for these technologies to be scaled globally in the future". We are excited to work with our valued collaborators, FSTD and DSO, as they have deep expertise in both grand challenges to advise, guide and empower our research teams to develop novel AI solutions that can effectively address important problems faced by Singapore and the world. "The problems that are being addressed have dual-use applications and can be leveraged by both industry and defence ecosystems to benefit Singapore. Together, let's collaborate, innovate and build an exciting and better future, he added." Professor Mohan Kankanhalli, Deputy Executive Chairman for AISG, said that the current development efforts and outcomes can be translated into better and safer technologies for everyday living. I would like to invite all researchers and practitioners with bold ideas to reach out to us. I encourage the various communities to come together to co-ideate and co-innovate. ![]() "Moving forward, we will also be expanding our partnerships with industry, to accelerate progress in developing AI technologies and applications. MINDEF's Defence Technology Community, which designs and develops technological capabilities for the SAF, will play a key role in this effort. ![]() ![]() MINDEF's approach is to collaborate extensively with local and global partners from research institutes, and institutes of higher learning and industry. In his speech, Mr Heng said, "The advancement of Artificial Intelligence (AI) will open up new possibilities and MINDEF/SAF is poised to harness its power to build important capabilities for our future. The grant awards were presented by Mr Heng Chee How, Senior Minister of State for Defence at the Joint Grant Awards Ceremony. The research outcomes will have the potential for dual-use applications and can be leveraged by both the industry and defence to benefit Singapore. Each Challenge is a first-of-its-kind and represents a major milestone in research collaboration between the academia and defence ecosystems. AISG launched both Grand Challenges in December 2022 in collaboration with the Future Systems and Technology Directorate (FSTD), MINDEF Singapore, and DSO National Laboratories (DSO).
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