Official announcements from AI Singapore.
Innovative Solutions to Improve Health and Patient Outcomes Featured at Inaugural AI in Healthcare Technology Showcase
At the inaugural AI in Healthcare Technology Showcase today, AI Singapore exhibited 16 AI projects that are set to improve healthcare processes and patient outcomes in Singapore. The event also featured demonstrable prototypes of the technologies from projects that highlight the potential impact AI can have on Singapore’s healthcare ecosystem. Graced by Minister for Health,…
Teacher Work Attachment Plus (TWA+) Programme @ AI Singapore
Teacher Work Attachment Plus (TWA+) Programme @ AI Singapore is an AI #PLUSskilling Programme for Teachers to gain literacy in AI, increase efficacy in adopting AI solutions to enrich students’ learning and encourage AI pilots to start in schools and classrooms. TWA+ programme @ AI Singapore offers three tracks from which to choose based on…
National AI Student Challenge 2022 – REGISTRATION IS NOW OPEN!
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…
AISG 5th Call for AI Research Proposals
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…
Robust AI Grand Challenge – NEW
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 for Materials Discovery Grand Challenge – NEW
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…
PeekingDuck v1.3: New GUI with Segmentation and Optimised Models
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…
AI Singapore’s Trusted Media Challenge Winners Set to Combat Fake Media
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…
PeekingDuck V1.2 – A Major Update!
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…
Helping Singapore businesses to leverage graph database capabilities for AI/ML
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…
A Collaboration To Build Graph Database Capabilities in AI and Machine Learning Applications
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…
