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String-theory concept boosts understanding of biological networks

Artist's impression of a biological neural network

Is our embrace of AI naïve and could it lead to an environmental disaster?

Johan Hansson says it is dangerous to treat artificial intelligence as a magic wand

silhouette of figure in a hoodie holding a glowing red AI chip

Chess960 still results in white having an advantage, finds study

Research suggests that the standard game, and other permutations, can be unfair to players who go second

Research headlines

Reinforcement learning could help airborne wind energy take off

A bird of prey (a red kite) flies past a group of four wind turbines. The bird is sharply in focus, while the turbines and the flat farm landscape beneath them are blurred.

Hybrid deep-learning model eases brachytherapy planning

Simple feedback mechanism keeps flapping flyers stable when hovering

Photo of a hovering hummingbird feeding from a red flower

Generative AI model detects blood cell abnormalities

The CytoDiffusion classifier analyses the shape and structure of blood cells to detect abnormalities that may indicate blood disorders

Quantum-scale thermodynamics offers a tighter definition of entropy

New formulation sheds light on the three-level maser

Staying the course with lockdowns could end future pandemics in months

New calculation of viral spread suggests that rapid elimination of SARS-CoV-2-like viruses is scientifically feasible, though social challenges remain

Neural networks discover unstable singularities in fluid systems

Result boosts our understanding of the Navier-Stokes equation

Playing games by the quantum rulebook expends less energy

New form of quantum advantage emerges from study of game theory and quantum information

Motion blur brings a counterintuitive advantage for high-resolution imaging

New algorithm turns structured motion into sharper images

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Opinion and reviews

Garbage in, garbage out: why the success of AI depends on good data

Mathematical genius: celebrating the life and work of Emmy Noether

So you think you know Roger Penrose? Be prepared to be shocked

Professor Roger Penrose with his diagram of a twistor

Explore more in mathematics and computation

Oscar-winning computer scientist on the physics of computer animation

CGI pioneer Pat Hanrahan is our podcast guest

Physics-based battery model parameterization from impedance data

Discover the role of impedance analysis in advancing battery-model development

How well do you know AI? Try our interactive quiz to find out

Test your knowledge of the deep connections between physics, big data and AI

Binary code illustration with light and code focusing into the distance

Physicists discuss the future of machine learning and artificial intelligence

The editors-in-chief of IOP Publishing’s machine learning series share their views

Pierre Gentine, Jimeng Sun, Jay Lee and Kyle Cranmer

The forgotten pioneers of computational physics

Iulia Georgescu highlights the forgotten pioneers of computational physics and calls for a wider appreciation of research software engineers

View of the backs of two women's heads as they operate a large old computer

Quantum computing and AI join forces for particle physics

We explore how new computing technologies could guide future LHC experiments

Machine learning optimizes nanoparticle design for drug delivery to the brain

Predictive model accelerates the development of nanoparticles as potential drug carriers for targeting neurodegenerative diseases

Researchers from the University of the Basque Country

Bayes’ rule goes quantum

New work could help improve quantum machine learning and quantum error correction

Illustration created using multiple images of Thomas Bayes

‘Father of the Internet’ Vint Cerf expresses concern about the longevity of digital information

How do we create a digital version of the vellum and clay tablets that successfully preserved information in earlier ages of human history?

Vint Cerf speaking at the Heidelberg Laureate Forum. He's wearing a grey three-piece suit with a red tie and pocket handkerchief that matches the red conference lanyard around his neck. Behind him are words on a screen

Peer review in the age of artificial intelligence

Global survey of reviewers reveals a growing polarization about the use of AI

The pros and cons of reinforcement learning in physical science

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

Photo of David Silver standing in front of a podium. He's dressed informally, in a black t-shirt and hoodie

Are we heading for a future of superintelligent AI mathematicians?

Some highly intelligent human mathematicians certainly seem to think so, as Margaret Harris reports from the maths-and-computer-science-focused Heidelberg Laureate...

Photo of a large screen showing Sanjeev Arora gesturing at a slide. The slide is entitled "Meaning of superhuman AI mathematician" and shows a set of all math theorems as a big green oval, with the set of all such theorems proven by humans a smaller pink oval inside it

Reformulation of general relativity brings it closer to Newtonian physics

Calculations reveal inverse square law behaviour in binary black holes

Artist's impression of gravitational waves from a black-hole binary

Artificial intelligence predicts future directions in quantum science

This podcast explains what happens when 66,000 research papers are used as training data

Photos of Felix Frohnert and Mario Krenn

From ‘rewarding and exciting’ to ‘challenging and overwhelming’: what it means to have a career in intelligence and cyber security

Curiosity, problem-solving and resilience are the key qualities for a career in intelligence

GCHQ spelt out in Scrabble pieces on a chess board

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Related events

Mathematics and computation | Workshop Nonlinear and Complex Physics: Emergence Workshop 29 January 2026 | London, UK
Mathematics and computation | Public event Machine Learning for Experimental Materials Data 2 April 2026 | London, UK
Biophysics and bioengineering | Workshop Information & Decisions Across Scales: Constraints and Optimality in Neural and Biological Networks (IDeAS26) 18—22 May 2026 | Dresden, Germany

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