Gabriel Maicas
@gabriel_maicas
AI Lead for the Women's and Children's Hospital at @TheAIML, Adelaide.
Nature and travelling lover. Basketball fan.
ID: 2350317065
https://cs.adelaide.edu.au/~gabriel/ 18-02-2014 10:02:39
902 Tweet
249 Followers
528 Following
This new paper in Nature is a real breakthrough. It suggests that if we want to achieve the 1.5C climate target without relying on risky negative emissions schemes or speculative assumptions about GDP/energy decoupling, we need degrowth in rich countries. nature.com/articles/s4146β¦
βWhat should I do if I have a good idea, but it cannot beat some common baselines or the state-of-the-art?β This question was asked during a sharing session Australian Institute for Machine Learning on Wednesday. I used to ask the same question in my first year doing PhD and want to share my experience.π§΅ 1/9
Do you want to join us at AIML? β Nine full-time PhD scholarship opportunities for those seeking to conduct cutting-edge research in machine learning with a focus on augmented reasoning - Uni of Adelaide scholarships.adelaide.edu.au/Scholarships/pβ¦
We are now looking for a PhD candidate and a postdoc to join us in this adventure! Ping me if interested. #Hiring #MedicalMachineLearning #HealthAI Australian Institute for Machine Learning
Super cool initiative: embedding an Australian Institute for Machine Learning machine learning expert in a hospital to build AI tailored to their specific needs. And Gabriel Maicas has been phenomenal so far, especially engaging clinicians and identifying good clinical tasks. Excited what can be achieved!
Interested in predicting abnormality in fetal imaging? Looking for PhD candidates to join our Australian Institute for Machine Learning - Women's and Children's Hospital collaboration Scholarship: $40k/annum (tax free) Duration: 3 or 4 years #HealthAI #MedicalMachineLearning adelaide.edu.au/aiml/opportuniβ¦
The largest medical #AI randomized controlled trial yet performed, enrolling >100,000 women undergoing mammography screening, was published today The Lancet Digital Health The use of A.I. led to 29% higher detection of cancer, no increase of false positives, and reduced workload compared