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?
This podcast explains what happens when 66,000 research papers are used as training data
Read article: Artificial intelligence predicts future directions in quantum science
Honor Powrie looks at the perils and possibilities of AI for physicists
Read article: Garbage in, garbage out: why the success of AI depends on good data
AI model analyses electrocardiogram traces to flag patients at high risk of structural heart disease
Read article: Deep-learning model outperforms cardiologists in identifying hidden heart disease
