Featured
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Article
| Open Access
MSL2 ensures biallelic gene expression in mammals
After loss of MSL2, a class of dosage-sensitive genes transitions from biallelic to monoallelic expression, whereby one allele remains active, retaining active histone modifications and transcription factor binding, and the other allele is silenced, exhibiting loss of promoter–enhancer contacts and the acquisition of DNA methylation.
- Yidan Sun
- , Meike Wiese
- & Asifa Akhtar
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Technology Feature |
AI under the microscope: the algorithms powering the search for cells
Deep learning is driving the rapid evolution of algorithms that can automatically find and trace cells in a wide range of microscopy experiments.
- Michael Eisenstein
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News |
ChatGPT generates fake data set to support scientific hypothesis
Researchers say that the model behind the chatbot fabricated a convincing bogus database, but a forensic examination shows it doesn’t pass for authentic.
- Miryam Naddaf
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Essay |
How AI is expanding art history
From identifying disputed artworks to reconstructing lost masterpieces, artificial intelligence is enriching how we interpret our cultural heritage.
- David G. Stork
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Nature Index |
Hypotheses devised by AI could find ‘blind spots’ in research
Artificial intelligence is asking questions that humans hope to answer.
- Matthew Hutson
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Editorial |
Why teachers should explore ChatGPT’s potential — despite the risks
Many students now use AI chatbots to help with their assignments. Educators need to study how to include these tools in teaching and learning — and minimize pitfalls.
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News Feature |
ChatGPT has entered the classroom: how LLMs could transform education
Researchers, educators and companies are experimenting with ways to turn flawed but famous large language models into trustworthy, accurate ‘thought partners’ for learning.
- Andy Extance
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Article
| Open Access
Illuminating protein space with a programmable generative model
Evolution has produced a range of diverse proteins, and now a generative model called Chroma can expand that set by allowing the user to design new proteins and protein complexes with desired properties and functions.
- John B. Ingraham
- , Max Baranov
- & Gevorg Grigoryan
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News & Views |
The deep route to low-field MRI with high potential
A type of magnetic resonance imaging, known as low-field MRI, could make the technique more widely accessible, but only if the image quality can be improved. A deep-learning protocol might hold the key.
- Patricia M. Johnson
- & Yvonne W. Lui
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Article
| Open Access
Predicting multiple conformations via sequence clustering and AlphaFold2
An analysis of the evolutionary distribution of predicted structures for the metamorphic protein KaiB using AF-Cluster reveals that both conformations of KaiB were distributed in clusters across the KaiB family.
- Hannah K. Wayment-Steele
- , Adedolapo Ojoawo
- & Dorothee Kern
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Comment |
How AI could lead to a better understanding of the brain
Early machine-learning systems were inspired by neural networks — now AI might allow neuroscientists to get to grips with the brain’s unique complexities.
- Viren Jain
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News |
‘ChatGPT detector’ catches AI-generated papers with unprecedented accuracy
Tool based on machine learning uses features of writing style to distinguish between human and AI authors.
- McKenzie Prillaman
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Nature Podcast |
Nature's Take: How will ChatGPT and generative AI transform research?
Nature staff take on the big topics that matter in science.
- Nick Petrić Howe
- , Magdalena Skipper
- & Yann Sweeney
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News |
The world’s week on AI safety: powerful computing efforts launched to boost research
UK and US governments establish efforts to democratize access to supercomputers that will aid studies on AI systems.
- Nicola Jones
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Article
| Open Access
Epigenetic regulation during cancer transitions across 11 tumour types
A pan-cancer epigenetic and transcriptomic atlas identifies epigenetic drivers associated with cancer transitions.
- Nadezhda V. Terekhanova
- , Alla Karpova
- & Li Ding
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Editorial |
Why the UK-led global AI summit is missing the point
Robust regulation of AI technologies will be crucial to protecting against harms. Researchers’ voices must be heard.
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News |
How AI can help to save endangered species
Scientists are using artificial intelligence to fight biodiversity loss by analysing vast amounts of data, monitoring ecosystems and spotting trends over time.
- Tosin Thompson
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Outlook |
How robots can learn to follow a moral code
Ethical artificial intelligence aims to impart human values on machine-learning systems.
- Neil Savage
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News Feature |
An AI revolution is brewing in medicine. What will it look like?
Emerging generalist models could overcome some limitations of first-generation machine-learning tools for clinical use.
- Mariana Lenharo
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News |
AI tidies up Wikipedia’s references — and boosts reliability
A neural network can identify references that are unlikely to support an article’s claims, and scour the web for better sources.
- Chris Stokel-Walker
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Comment |
Living guidelines for generative AI — why scientists must oversee its use
Establish an independent scientific body to test and certify generative artificial intelligence, before the technology damages science and public trust.
- Claudi L. Bockting
- , Eva A. M. van Dis
- & Johan Bollen
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Career Feature |
How ChatGPT is transforming the postdoc experience
Around one in three respondents to Nature’s global postdoc survey are using AI chatbots to help to refine text, generate or edit code, wrangle the literature in their field and more.
- Linda Nordling
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News |
How AlphaFold and other AI tools could help us prepare for the next pandemic
Researchers are using machine-learning programs to predict the evolution of viruses and design vaccines.
- Ewen Callaway
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Article
| Open Access
Unraveling the functional dark matter through global metagenomics
A computational approach to generate reference-free protein families from the sequence space in metagenomes reveals an enormously diverse functional space.
- Georgios A. Pavlopoulos
- , Fotis A. Baltoumas
- & Nikos C. Kyrpides
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Article
| Open Access
Learning from prepandemic data to forecast viral escape
EVEscape, a flexible framework using deep learning and biophysical structural information, enables early identification of concerning mutations in viruses with pandemic potential, facilitating the development of vaccines and therapeutics.
- Nicole N. Thadani
- , Sarah Gurev
- & Debora S. Marks
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Editorial |
AI’s potential to accelerate drug discovery needs a reality check
Companies say the technology will contribute to faster drug development. Independent verification and clinical trials will determine whether this claim holds up.
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News Feature |
How ChatGPT and other AI tools could disrupt scientific publishing
A world of AI-assisted writing and reviewing might transform the nature of the scientific paper.
- Gemma Conroy
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Career Guide |
How to spice up your bioinformatics skill set with AI
Incorporating machine-learning tools into data analysis can accelerate discovery and free up valuable time.
- Rachael Pells
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Career Column |
Embracing the command line: my unexpected career in computational biology
A crash course in bioinformatics put Ming Tommy Tang on a different path.
- Ming Tommy Tang
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Research Briefing |
Deep learning shows how global warming affects daily rainfall
An artificial-intelligence method called deep learning has been used to detect signals of human-induced climate change in daily precipitation data. The results indicate that global warming has increased day-to-day rainfall variability in tropical and mid-latitude regions over the past 40 years.
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Perspective |
The status of the human gene catalogue
Although the catalogue of human protein-coding genes is nearing completion, the number of non-coding RNA genes remains highly uncertain, and for all genes much work remains to be done to understand their functions.
- Paulo Amaral
- , Silvia Carbonell-Sala
- & Steven L. Salzberg
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News |
AI predicts how many earthquake aftershocks will strike — and their strength
Models trained on large data sets of seismic events can estimate the number of aftershocks better than conventional models do.
- Alexandra Witze
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News |
Can AI predict who will win a Nobel Prize?
With a few modifications, ChatGPT-like models could enhance the art of identifying future laureates.
- Gemma Conroy
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Editorial |
AI will transform science — now researchers must tame it
A new Nature series will explore the many ways in which artificial intelligence is changing science — for better and for worse.
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Career Column |
What’s the best chatbot for me? Researchers put LLMs through their paces
When it comes to large language models, there’s one for every occasion. Find the most appropriate match for you in our AI speed-dating feature.
- Elizabeth M. Humphries
- , Carrie Wright
- & Jeffrey T. Leek
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Comment |
AI tools as science policy advisers? The potential and the pitfalls
Large language models and other artificial-intelligence systems could be excellent at synthesizing scientific evidence for policymakers — but only with appropriate safeguards and humans in the loop.
- Chris Tyler
- , K. L. Akerlof
- & William J. Sutherland
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News Feature |
AI and science: what 1,600 researchers think
A Nature survey finds that scientists are concerned, as well as excited, by the increasing use of artificial-intelligence tools in research.
- Richard Van Noorden
- & Jeffrey M. Perkel
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News Feature |
Science and the new age of AI
A Nature special on how AI is transforming the scientific enterprise.
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News Feature |
How to stop AI deepfakes from sinking society — and science
Deceptive videos and images created using generative AI could sway elections, crash stock markets and ruin reputations. Researchers are developing methods to limit their harm.
- Nicola Jones
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News |
AlphaFold touted as next big thing for drug discovery — but is it?
Questions remain about whether the AI tool for predicting protein structures can really shake up the pharmaceutical industry.
- Carrie Arnold
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News Q&A |
‘They went to the bar at noon’: what this virtual AI village is teaching researchers
Researcher Joon Park talks about making a small town of AI-powered agents open-source.
- Matthew Hutson
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Article
| Open Access
Transgenic ferret models define pulmonary ionocyte diversity and function
Conditional genetic ferret models enable ionocyte lineage tracing, ionocyte ablation and ionocyte-specific deletion of CFTR to elucidate the roles of pulmonary ionocyte biology and function during human health and disease.
- Feng Yuan
- , Grace N. Gasser
- & John F. Engelhardt
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Comment |
AI can help to speed up drug discovery — but only if we give it the right data
Artificial-intelligence tools that enable companies to share data about drug candidates while keeping sensitive information safe can unleash the potential of machine learning and cutting-edge lab techniques, for the common good.
- Marissa Mock
- , Suzanne Edavettal
- & Alan Russell
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News |
AlphaFold tool pinpoints protein mutations that cause disease
Researchers have adapted the AI network to search for genetic changes linked to ill health.
- Ewen Callaway
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Outlook |
A test of artificial intelligence
As debate rages over the abilities of modern AI systems, scientists are still struggling to effectively assess machine intelligence.
- Michael Eisenstein
Google AI and robots join forces to build new materialsBrowse broader subjects
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- Biochemical reaction networks
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