Without mitigation measures, the computing infrastructure for large language models could generate 2.5 million tons of e-waste a year by 2030
Read article: Generative AI has an electronic waste problem, researchers warn
Claire Malone looks at the ups and downs of using AI to communicate science
Read article: Why AI is a force for good in science communication
Matin Durrani is pleased that the 2024 Nobel Prize for Physics brings AI under physicists' wing
Read article: AI enters the fold with the 2024 Nobel Prize for Physics:
Our podcast guest is Anil Ananthaswamy, author of Why Machines Learn
Read article: Deep connections: why two AI pioneers won the Nobel Prize for Physics
Memory-like behaviour emerges in a polymer gel
Read article: Electro-active material ‘learns’ to play Pong
New technique could reduce risks of unwanted surveillance, chip failure and theft, say researchers
Read article: AI-assisted photonic detector identifies fake semiconductor chips
Matt Hodgson reviews Why Machines Learn by Anil Ananthaswamy
Read article: Goats, sports cars and game shows: the unexpected science behind machine learning and AI
Solving a centuries-old mathematical puzzle could hold the key to understanding the function of many of the molecules of life
Read article: Spot the knot: using AI to untangle the topology of molecules
How do you spot a deepfake image of a person? The answer might be to look into their eyes.
Read article: The eyes have it: how to spot the difference between a deepfake portrait and a real picture
A generalizable AI tool performs fully automated tumour segmentation on whole-body PET/CT images
Read article: Deep transfer learning detects six different cancers on PET/CT scans
