News & Blog
Read the latest articles on data science and artificial intelligence in the media, by WADSIH and our partners
We’re excited to be joining the UWA Data Institute 2025 Conference, AI in Action: From Theory to Practice! Our Director, Alex Jenkins, will be representing WADSIH at this year’s conference.
Media interest is building for the Peel Chamber of Commerce event Leading the Future Conference, and WADSIH’s outlook on emerging tech and AI will be part of the proceedings. As
We’re proud to announce we’ve been appointed an AI Power Partner for the upcoming Indo-Pacific Robotics, Autonomy, AI, and Cyber Conference (IPRAAC) in October 2025. IPRAAC 2025 aims to convene
Perth Children’s Hospital’s Paediatric Anaesthesia Research Team is looking for the next generation of AI scientists. It’s planning to use advanced data science and AI in some groundbreaking projects to
WADSIH is thrilled to be part of a team, led by Curtin University’s Autism Academy for Software Quality Assurance (AASQA) and headed by Professor Tele Tan AM, that has secured
WADSIH is excited to announce that our Director, Alex Jenkins, has been appointed to the Cook Government’s newly formed Artificial Intelligence (AI) Advisory Board. This significant milestone highlights Western Australia’s
The Health Hackathon 2024 was a resounding success with teams coming up with innovative ideas that have the potential to change the WA healthcare space.
As businesses across the globe embrace emerging technologies like generative AI, the role of data in innovation is more critical than ever. Alex Jenkins, Director of the WADSIH, highlights how
The recent Western Australia Police Force x WADSIH Hackathon 2024 was a testament to the power of collaboration and innovation in addressing critical public safety challenges.
The 2023 WA Health Hackathon demonstrated the immense potential that emerges when innovative minds collaborate with cutting-edge technology to address pressing challenges in the healthcare sector.
A cornerstone of this year’s Hackathon is the pioneering introduction of synthetic data. Using these data sets offers the best of both worlds: replicating real-world trends without risking genuine patient or system data.
