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
In order to streamline robustness testing into the AI engineering process, the SecureAI team has made it a priority to integrate robustness testing tools into AI Singapore’s MLOps pipelines. In this article, we will share our experience integrating Microsoft CheckList, as a black-box robustness testing tool, in our CI/CD processes along with various technologies as
GitLab is a platform that we use within AI Singapore, it supports Version Control, Issue boards, Wiki pages and Deployment Pipelines. We will talk about how we use GitLab to deploy applications in this article. What is Deployment? The process to allow a software or platform to be accessible to the users. This can be
Standard model evaluation processes involve measuring the accuracy (or other relevant metrics) on a hold-out test set. However, the performance on these test sets do not always reflect the ability of the model to perform in the real world. This is because a fundamental assumption when deploying AI models is that all future data is
”Data is the new oil” is a catchphrase that is reflective of modern times. As more data is being collected and shared, data privacy and protection becomes increasingly important, and governments around the world have been implementing regulations in response. In the European Union, the General Data Protection Regulation (GDPR) was adopted in 2016, while
We’ve launched Synergos, a Federated Learning platform AI Singapore has been working on. The launch marks the start of a long journey. We invite you to join us on this journey. Let’s start by using it as a tool in your machine learning toolbox, and even contribute your code to the repo. Do share with
With more AI systems being deployed into production, it becomes critical to ensure that the systems are secure and trustworthy. Here in AI Singapore, the SecureAI team is dedicated to developing processes and tools to support the creation of secure and trustworthy AI systems. As shared in the previous article, one of the key ingredients
AI Singapore (AISG) recently supported Singapore Hokkien Huay Kuan’s Thinkers Programme and introduced our AI for Kids (AI4K)® to participating students from their affiliated schools. The Singapore Hokkien Huay Kuan (SHHK) Thinkers Programme started in 2019 with two goals. The first is to develop student’s confidence, analytical and problem-solving competencies. The second is to expose
A couple of months ago, AI Singapore unveiled the AI Readiness Index (AIRI), a comprehensive and easy-to-implement industry-focused framework which enables organisations to self-assess the status of their artificial intelligence (AI) adoption readiness. I talked to Tern Poh from the AI Advisory Team, one of the architects of the framework. Below is a transcript of the conversation
In previous posts (here and here), we gave a preview of AI Singapore’s Federated Learning platform Synergos. Today we are happy to announce that Synergos is officially launched! We begin with a recap of what Synergos is and its main components. The motivation for Synergos Data is at the core of machine learning. Nevertheless, in
