Machine learning technique teaches power-generating kites to extract energy from turbulent airflows more effectively, boosting their efficiency
Read article: Reinforcement learning could help airborne wind energy take off
The BCTVNet neural network provides accurate and rapid target volume delineation for cervical cancer brachytherapy
Read article: Hybrid deep-learning model eases brachytherapy planning
Test your knowledge of the deep connections between physics, big data and AI
Read article: How well do you know AI? Try our interactive quiz to find out
The CytoDiffusion classifier analyses the shape and structure of blood cells to detect abnormalities that may indicate blood disorders
Read article: Generative AI model detects blood cell abnormalities
The editors-in-chief of IOP Publishing’s machine learning series share their views
Read article: Physicists discuss the future of machine learning and artificial intelligence
We explore how new computing technologies could guide future LHC experiments
Read article: Quantum computing and AI join forces for particle physics
Predictive model accelerates the development of nanoparticles as potential drug carriers for targeting neurodegenerative diseases
Read article: Machine learning optimizes nanoparticle design for drug delivery to the brain
Global survey of reviewers reveals a growing polarization about the use of AI
Read article: Peer review in the age of artificial intelligence
David Silver of Google DeepMind thinks AIs that ‘learn by experience’ are the future of AI – but maybe not in particle colliders or nuclear arsenals
Read article: The pros and cons of reinforcement learning in physical science
Some highly intelligent human mathematicians certainly seem to think so, as Margaret Harris reports from the maths-and-computer-science-focused Heidelberg Laureate Forum
Read article: Are we heading for a future of superintelligent AI mathematicians?
