Spotlight on Women in Tech: Dr Monica Wen Chen
We’re speaking to Dr Monica Wen Chen, an award-winning AI research scientist in the Decision Making Under Uncertainty group within the Analytics and Decision Sciences Program here at CSIRO’s Data61. Dr Chen discusses her career path, what she’s currently working on, one of the biggest changes that needs to take place in the tech industry and her advice on breaking into the world of data science.
AI-powered spinal segmentation technology could ‘save radiologists and surgeons thousands of hours of work’
A new AI-powered piece of medtech segments spinal vertebrae, partner Singular Health anticipates a 95% accuracy in two minutes, which could enable medical professionals to better plan their surgeries.
AI can now learn to influence human behaviour
Artificial intelligence (AI) is learning more about how to work with (and on) humans. A recent study has shown how […]
Advancing Supply Chain Integrity in Australian Agriculture workshop
To boost the value of Australia’s exports and build on our brand, we need to validate the quality, safety and […]
Data61’s 2020 Year in Review highlights
As we mark our fifth year, we take a look back at some of this year’s highlights, including our teams’ innovative COVID work, the research we’ve commercialised - such as the NSW Digital Twin and Wildcat robotic mapping technology – our joint report with Austrade on the future of global trade and investment, our numerous award wins and research paper acceptances, and finally, the appointment of Data61’s new Director, Jon Whittle.
How machine learning is detecting seizures in people with traumatic brain injuries
By applying sensors, machine learning and energy harvesting technology, researchers at CSIRO, CSIRO’s Data61 and Australian medical device company Anatomics could prevent the development of seizure disorders in patients that have undergone decompressive surgery (craniectomy) through the creation of a data-driven and highly personalised treatment plan.
Designing trustworthy machine learning systems
Op-ed: Many methods have been developed to promote fairness, transparency and accountability in the predictions made by artificial intelligence and machine learning systems. A technical approach is often the focal point of these methodologies, however, to develop truly ethical machine learning systems that can be trusted by their users, it's important to supplement this with a human-centred approach.
Eight papers accepted at world’s most prestigious machine learning conference
Eight papers detailing bleeding-edge machine learning research written by scientists from CSIRO’s Data61 and collaborators have been accepted by NeurIPS (Neural Information Processing Systems) 2020, the largest and most prestigious machine learning conference in the world.
Our data-driven role in tackling COVID-19 in Indonesia
Complex problems require sophisticated solutions, and when it comes to adapting to a global pandemic, capturing and making sense of vast amounts of data […]