Industry workshop provides AI in Health Grand Challenge teams with a platform to share their progress and future plans, and to reach out to potential partners What’s next for the teams of the AI in Health Grand Challenge? This was the focus of an industry e-workshop on “Translating and Scaling AI Technology for Healthcare” which
AI Summer School has grown, COVID-19 notwithstanding. More than 250 attendees from 30 countries took part in this year’s event, with leading experts in the field of artificial intelligence (AI) coming together to share their work and foster collaboration amongst the next generation of researchers. The latest edition, which took place from 3 to 7
The COVID-19 pandemic has affected everyone, claiming hundreds of thousands of lives and disrupting the livelihood of millions. AI has the potential to transform our economy and improve lives. Given this unprecedented global crisis, AISG launched an ideation challenge, with the aim to encourage the curation of innovative ideas using AI methods and technologies help Singapore emerge
AI has the potential to transform how healthcare is delivered. In a 2019 Future Health Index survey by Philips, Singapore came in third in the use of AI in healthcare, where most AI applications are used to improve clinical diagnostic accuracy. In June 2018, AI Singapore launched our inaugural AI in Health Grand Challenge to
The first AI Summer School will bring together leading local and international AI experts to educate and foster collaboration among the next generation of researchers. We believe that the time is right for a Summer School because there is a critical mass of new technical materials available and high interest within the Data Science and
3 research teams each awarded up to 5M; using AI technology to solve 3H (3 highs) health issues in Singapore) (Lianhe Zaobao, 29 March 2019)
The article talks about the AI in Health Grand Challenge which was launched in June 2018 as well as provided insights on the 3 research teams which had been awarded the grant to work on their proposals. Click here to read the article.
AI projects shortlisted to solve a major healthcare issue in Singapore (Straits Times, 27 March 2019)
Three projects using artificial intelligence technologies were unveiled on Wednesday (March 27) to battle it out in a healthcare research challenge that promises funding of up to $20 million for the winner. Click here to read the coverage.
Professor Leong Tze Yun, Director of AI Technology, provided her insights on the power and limitations of AI during a panel discussion at the recent Times Higher Education Innovation and Impact Summit that was held in South Korea. Click here to view the full video.
S$35M research funding to leverage AI to reduce risk of diabetes, high cholesterol and high blood pressure in Singapore
AI Singapore (AISG) has awarded up to S$35 million, through the AI in Health Grand Challenge, to three multidisciplinary teams to pioneer innovative AI solutions to lower the risk of diabetes, high cholesterol and high blood pressure progression and complication development in Singapore. The grant awards were presented by Dr Janil Puthucheary, Senior Minister of
As part of the design approach to engineer large-scale research goals to harness the potential of AI for national impacts, we worked with technical and domain experts from both public and private sectors to contribute to grand challenge statements in the area of Health and Urban Solutions. Over 200 academics and thought leaders participated in
AISG has unveiled its 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. Subsequently, they can leverage appropriate programmes to embark on a journey to improve their AI readiness. AISG has enabled companies to build production-ready AI solutions over the
(By Desiree Chen) When working on projects, AI Engineers and AI Apprentices conduct multiple experiments with various hyperparameters being involved. There will be several versions of data and models to be tracked. Such tracking allows one team member to reproduce the experiment conducted by another team member and perhaps subsequently improve on the model. Data Version Control (DVC) provides
TagUI is a free Robotic Process Automation (RPA) tool offered by AI Singapore. It also has a thriving international user community that builds applications with it across different domains. While the TagUI GitHub page is the go-to place for their work, users have also found value in joining the official Telegram chat group to get