AI has long been a popular mainstay of science fiction, but now, for better or worse, it is increasingly shaping the real world. From medicine to advertising, this collection explores how this rapidly developing technology is already being used in society, and ponders the ethical questions around how it should be used in the future.
AI for more intelligent drug discovery
Leonard Wossnig of quantum drug-discovery firm Rahko describes the powerful capabilities of AI and quantum computing when combined
More human than human
A short story by Kevlin Henney explores AI and the Turing Test
Ethics in AI
Artificial stupidity
Margaret Harris reviews You Look Like a Thing and I Love You by Janelle Shane
The funny and sinister sides of machine learning, how to make nanoparticles by the tonne
An artificial-intelligence blogger and a nanotech entrepreneur are our guests this week
Machine Learning: Science and Technology™ – Submit your next article
A multidisciplinary open-access journal that bridges the application of machine learning across the sciences with advances in machine learning methods and theory as motivated by physical insights.
Applications of AI
Read article: Medical marvels: how AI is boosting healthcare
Medical marvels: how AI is boosting healthcare
Irina Grigorescu, a medical physicist at King’s College London, explains how artificial intelligence can transform medical physics
Read article: AI and particle physics: a powerful partnership
AI and particle physics: a powerful partnership
Jessica Esquivel explores the beneficial collaboration between artificial intelligence and particle physics that is advancing both fields
Read article: Neural networks extract information from sparse datasets
Neural networks extract information from sparse 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: Machine learning collaborations accelerate materials discovery
Machine learning collaborations accelerate materials discovery
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: Ask me anything: Jony Hudson – ‘I love the incredibly fast pace of progress in machine learning’
Ask me anything: Jony Hudson – ‘I love the incredibly fast pace of progress in machine learning’
Jony Hudson is a research engineer working on the development of artificial intelligence at DeepMind
Read article: Emmanuel Sabonnadière describes technology trends within optoelectronics
Emmanuel Sabonnadière describes technology trends within optoelectronics
The CEO of CEA-Leti speaks with Physics World at Photonics West 2020
AI in everyday life
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Research updates from AI and machine learning
Read article: Artificial intelligence reveals how light flows around nanoparticles
Artificial intelligence reveals how light flows around nanoparticles
New technique could be used to design a wide range of optical devices
Read article: Artificial intelligence spots unusual feature at Earth’s core-mantle boundary
Artificial intelligence spots unusual feature at Earth’s core-mantle boundary
Astrophysics algorithm is applied to seismic waves
Read article: Machine learning spots topological phase transitions in experimental data
Machine learning spots topological phase transitions in experimental data
Diffusion-maps method needs no prior knowledge about a physical system
Read article: Opening the AI box: can deep learning predict cancer recurrence?
Opening the AI box: can deep learning predict cancer recurrence?
Artificial intelligence-derived image features predict prostate cancer recurrence with high accuracy
Read article: Machine learning teases out differences in high-pressure ice phases
Machine learning teases out differences in high-pressure ice phases
Findings will be important for planetary science as well as condensed-matter physics
Read article: Artificial intelligence versus 101 radiologists
Artificial intelligence versus 101 radiologists
An AI system used to detect breast cancer in mammograms achieved a comparable performance to 101 radiologists
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