An artificial intelligence-powered algorithm trained to identify skin conditions doesn't work effectively on black skin
Read article: AI dermatology tool needs more diverse skin types in its training datasets
An algorithm developed by Cambridge physicist Gareth Conduit and inspired by many-body quantum mechanics is the driving force behind a novel materials-science spin-out
Read article: Neural networks extract information from sparse datasets
Combining forces with other numerical approaches, as well as collaborating with other research groups across the world, adds strength to data-driven techniques for materials science
Read article: Machine learning collaborations accelerate materials discovery
An AI system used to detect breast cancer in mammograms achieved a comparable performance to 101 radiologists
Read article: Artificial intelligence versus 101 radiologists
Proof-of-concept demonstration done using two superconducting qubits
Read article: Machine learning is implemented on an IBM quantum processor
An ongoing debate in artificial-intelligence research reveals productive interactions between cognitive scientists and philosophers, says Robert P Crease
Read article: Why artificial intelligence has brought scientists and philosophers together
From image reconstruction to quantum tomography, scientists are applying machine learning to all areas of physics, as Marric Stephens discovers
Read article: A machine-learning revolution
A machine learning technique could allow doctors to personalize cancer treatment earlier
Read article: Artificial intelligence predicts cancer evolution
Neural network goes beyond conventional knowledge
Read article: Machine learning reveals quantum phases of matter
Polymath Nathan Myhrvold on why he disagreed with his friend Stephen Hawking
Read article: Artificial intelligence: is there anything to fear?
