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‘It keeps me awake at night’: machine-learning pioneer on AI’s threat to humanity
Chinese researchers reveal unexplored section of mysterious Arctic Ocean ridge
To reform universities, first tackle global rankings
Is ageing a disease? The debate that could reshape medicine
Hotcakes at the end times
Academic boycotts: data hint at shifting research partnerships
A guide to the Nature Index
Could humans live to 150? Why some researchers think we’re on the cusp of a major longevity breakthrough
How much protein do you really need? What the science says
‘Godfather of AI’ becomes first person to hit one million citations
The future of ageing: science aims to deliver another leap in lifespan
Gut bacteria help mice to stay lean
Money and power underlie mysterious Andean ‘band of holes’
Author Correction: Learning the natural history of human disease with generative transformers
Influential list of highly cited researchers now shuts out more scientists: here’s why
‘A sigh of relief’: New malaria drug succeeds in large clinical trial
As existing drugs falter because of resistance, the world gets a backup—but hard choices loom on how to use it
After Coalition S disrupted scientific publishing, new plan retreats from strict requirements
The group’s latest strategy emphasizes consultation, lacks spending pledges
Fossil vomit contains new species of pterosaur from Brazil
Filter-feeding flying reptile was likely devoured by a dinosaur during the early Cretaceous
That’s no spider! It’s a decoy
Arachnids build large lookalikes to ward off predators
Digital dementia and testing of cognitive intervention for degenerating neural networks
The development of effective interventions for neurodegenerative disorders, such as posterior cortical atrophy (a visual Alzheimer's variant), remains to be a significant clinical challenge. We introduce a computational framework using convolutional neural networks (CNNs) as in silico models to simulate visual system degeneration and evaluate intervention strategies. By modeling controlled synaptic decay and comparing three distinct retraining approaches, random data (control), accuracy-based,...