Featured
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Correspondence |
Should scientists delegate their writing to ChatGPT?
- Christopher Basgier
- & Shyam Sharma
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News |
These scientists aren’t using ChatGPT — here’s why
Some researchers find AI chatbots helpful for writing, coding and gathering information. Others are choosing to avoid the craze.
- Carissa Wong
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News |
The science events to watch for in 2024
Advanced AI tools, Moon missions and ultrafast supercomputers are among the developments set to shape research in the coming year.
- Miryam Naddaf
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Article
| Open AccessThe energetic and allosteric landscape for KRAS inhibition
Analysis of the effects of more than 26,000 KRAS mutations on abundance and interactions with six other proteins is used to construct an energy landscape of KRAS and identify allosteric drug target sites.
- Chenchun Weng
- , Andre J. Faure
- & Ben Lehner
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Article
| Open AccessFunctional and evolutionary significance of unknown genes from uncultivated taxa
We analysed 149,842 environmental genomes from multiple habitats and compiled a curated catalogue of 404,085 functionally and evolutionarily significant novel gene families exclusive to uncultivated prokaryotic taxa spanning multiple species.
- Álvaro Rodríguez del Río
- , Joaquín Giner-Lamia
- & Jaime Huerta-Cepas
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News |
DeepMind AI outdoes human mathematicians on unsolved problem
Large language model improves on efforts to solve combinatorics problems inspired by the card game Set.
- Davide Castelvecchi
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News Feature |
Nature’s 10: ten people (and one non-human) who helped shape science in 2023
An AI pioneer, an architect of India’s Moon mission and the world’s first global heat officer are some of the people behind this year’s big stories.
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Editorial |
Why mega brain project teams need to be talking to each other
As large-scale neuroscience projects start to yield results, sharing data standards will become increasingly important.
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News Feature |
ChatGPT and science: the AI system was a force in 2023 — for good and bad
The poster child for generative AI software is a startling human mimic. It represents a potential new era in research, but brings risks.
- Richard Van Noorden
- & Richard Webb
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News Feature |
OpenAI’s chief scientist helped to create ChatGPT — while worrying about AI safety
Ilya Sutskever has played a key part in developing the conversational AI systems that are starting to change society.
- Nicola Jones
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Perspective |
Hold out the genome: a roadmap to solving the cis-regulatory code
A roadmap towards solving the cis-regulatory code using a combination of machine learning and massively parallel assays of exogenous DNA is proposed.
- Carl G. de Boer
- & Jussi Taipale
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Article
| Open AccessEvolution of neuronal cell classes and types in the vertebrate retina
Single-cell and single-nucleus transcriptomic analysis of retina from 17 vertebrate species shows high conservation of retinal cell types and suggests that midget retinal ganglion cells in primates evolved from orthologous cells in ancestral mammals.
- Joshua Hahn
- , Aboozar Monavarfeshani
- & Karthik Shekhar
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Correspondence |
Can AI deliver advice that is judgement-free for science policy?
- Stefano Canali
- & Francesco Barone-Adesi
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News |
Robot chemist sparks row with claim it created new materials
Researchers question whether an AI-controlled lab assistant actually made any novel substances.
- Mark Peplow
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Article
| Open AccessCell-type-directed design of synthetic enhancers
Deep learning models were used to design synthetic cell-type-specific enhancers that work in fruit fly brains and human cell lines, an approach that also provides insights into these gene regulatory elements.
- Ibrahim I. Taskiran
- , Katina I. Spanier
- & Stein Aerts
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Article
| Open AccessTargeted design of synthetic enhancers for selected tissues in the Drosophila embryo
Deep learning and transfer learning were used to design tissue-specific enhancers in the Drosophila embryo that were active and specific, validating this approach to achieve tissue-, cell type- and cell state-specific expression control.
- Bernardo P. de Almeida
- , Christoph Schaub
- & Alexander Stark
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News |
‘Biocomputer’ combines lab-grown brain tissue with electronic hardware
A system that integrates brain cells into a hybrid machine can recognize voices.
- Lilly Tozer
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Article
| Open AccessOrgan aging signatures in the plasma proteome track health and disease
Blood plasma protein data was combined with machine learning models for a simple method to determine differences in organ-specific aging; the study provides a basis for the prediction of diseases and aging effects using plasma proteomics.
- Hamilton Se-Hwee Oh
- , Jarod Rutledge
- & Tony Wyss-Coray
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Article |
A genomic mutational constraint map using variation in 76,156 human genomes
A genomic constraint map for the human genome constructed using data from 76,156 human genomes from the Genome Aggregation Database shows that non-coding constrained regions are enriched for regulatory elements and variants associated with complex diseases and traits.
- Siwei Chen
- , Laurent C. Francioli
- & Konrad J. Karczewski
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Article
| Open AccessDictionary of immune responses to cytokines at single-cell resolution
An extensive global transcriptomics analysis of in vivo responses to 86 cytokines across more than 17 immune cell types reveals enormous complexity of cellular responses to cytokines, providing the basis of the Immune Dictionary and its companion software Immune Response Enrichment Analysis.
- Ang Cui
- , Teddy Huang
- & Nir Hacohen
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News Feature |
Is AI leading to a reproducibility crisis in science?
Scientists worry that ill-informed use of artificial intelligence is driving a deluge of unreliable or useless research.
- Philip Ball
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Comment |
Generative AI could revolutionize health care — but not if control is ceded to big tech
Large language models such as that used by ChatGPT could soon become essential tools for diagnosing and treating patients. To protect people’s privacy and safety, medical professionals, not commercial interests, must drive their development and deployment.
- Augustin Toma
- , Senthujan Senkaiahliyan
- & Bo Wang
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Comment |
ChatGPT one year on: who is using it, how and why?
In just a year, ChatGPT has permeated scientific research. Seven scientists reveal what they have learnt about how the chatbot should — and shouldn’t — be used.
- Marzyeh Ghassemi
- , Abeba Birhane
- & Francisco Tustumi
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News |
Google AI and robots join forces to build new materials
Tool from Google DeepMind predicts nearly 400,000 stable substances, and an autonomous system learns to make them in the lab.
- Mark Peplow
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Article
| Open AccessMSL2 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 AccessIlluminating 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 AccessPredicting 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 AccessEpigenetic 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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