CALLING ALL STUDENTS AND NSF! AI Singapore would like to invite students and NSF* to participate in the National AI Student Challenge 2022. Through this Challenge, we hope to see students’ active participation in shaping the future using AI technology. *Please refer to the Challenge website for eligibility criteria. There are 2 categories to choose from: Category A (No-Coding) Category B…
AI Singapore has launched the 5th Call for AI Research Proposals. We invite proposals that advance the state of the art in fundamental AI research for enabling and realising the following visions of the future: Vision 1: Discriminating Information • This vision centres on advancing the state of the art in fundamental AI research to…
AI Singapore is pleased to announce the Robust AI Grand Challenge, organised in collaboration with the Future Systems and Technology Directorate, MINDEF Singapore, and DSO National Laboratories. This Grand Challenge aims to encourage the development of innovative approaches that address the vulnerabilities of AI models in Computer Vision (CV) systems for Autonomous Vehicles (AV). It…
AI Singapore is pleased to announce the AI for Materials Discovery Grand Challenge, organised in collaboration with the Future Systems and Technology Directorate, MINDEF Singapore, and DSO National Laboratories. This Grand Challenge aims to encourage the development of innovative approaches that assist scientists with efficient exploration of materials to generate high-potential candidates. It supports ground-breaking…
The PeekingDuck team has just released v1.3! New features include: Instance segmentation model nodes, which can be applied to use cases such as privacy masking, An image undistortion node to correct distorted images from wide-angle cameras, A nifty PeekingDuck Viewer GUI to help with demos and analysis of inference results, and Optimised TensorRT models which…
On 29 April 2022, AI Singapore (AISG) announced the three winners of its Trusted Media Challenge to find the best AI solutions to combat fake media. The five-month long Challenge invited AI researchers and enthusiasts globally to build AI models that will easily detect audio-visual media that has been manipulated. The Challenge aims to help…
The PeekingDuck team is excited to share our latest v1.2 release! Our model zoo has been expanded with new object tracking, crowd counting, object detection, and pose estimation model nodes. We have also revamped our documentation by making information easier to find, and adding tutorials to guide users. Useful nodes such as for aggregating statistics…
AI Singapore (AISG) is looking to boost Singapore’s artificial intelligence (AI) and machine learning (ML) capabilities with the use of graph technology, which enhances analytics by finding unknown relationships in data that are not being identified by traditional means. Laurence Liew, director for AI Innovation at AISG, noted that while traditional relational databases will still…
TigerGraph and AI Singapore (AISG) have announced the signing of a Memorandum of Understanding (MOU) to promote Machine Learning (ML) and Artificial Intelligence (AI) industry enablement activities through AISG’s programmes in Singapore. TigerGraph will offer the world’s first distributed native graph database training and certification to AISG’s engineers and apprentices and jointly develop industry best…
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