Attendees at the APS March Meeting heard about some of the latest medical applications of artificial intelligence and machine learning
Read article: Machine learning makes its mark on medical imaging and therapy
Convolutional neural networks trained to diagnose abnormalities on medical images often focus on irrelevant image features
Read article: Deep learning for disease diagnosis confounded by image labels
Open-source framework trains deep-learning models while meeting high standards of data protection and privacy
Read article: Diagnostic AI algorithm focuses on privacy protection
Physicists have key role to play in understanding societal impacts and regulating the industry
Read article: Artificial intelligence technologies can reinforce inequalities
Irina Grigorescu, a medical physicist at King’s College London, explains how artificial intelligence can transform medical physics
Read article: Medical marvels: how AI is boosting healthcare
A short story by Kevlin Henney explores AI and the Turing Test
Read article: More human than human
Jessica Esquivel explores the beneficial collaboration between artificial intelligence and particle physics that is advancing both fields
Read article: AI and particle physics: a powerful partnership
Jony Hudson is a research engineer working on the development of artificial intelligence at DeepMind
Read article: Ask me anything: Jony Hudson – ‘I love the incredibly fast pace of progress in machine learning’
Juanita Bawagan discovers how modern algorithms have transformed our understanding of the “Turing Test” and what it means for artificial intelligence
Read article: The Turing Test 2.0
Achintya Rao reviews A Citizen’s Guide to AI by John Zerilli and co-authors
Read article: Friend or foe? Machine learning and how it is shaping our lives
