📢Yiqing Zhou, Eun-Ah Kim and colleagues report an ML decoder that efficiently corrects errors in quantum logical circuits with entangling gates, with the decoder achieving competitive accuracy while running much faster than conventional methods. www.nature.com/articles/s43... ⚛️

Sandro Lera and colleagues introduce a data-driven method for ranking law firms based on litigation outcomes, revealing that traditional reputation-based rankings do not reflect legal performance accurately. www.nature.com/articles/s43... #cssky #MLSky

Guang Chen and colleagues present a deep learning model that integrates unpaired spatial multi-omics data and enables unsupervised cross-modal prediction, aiding spatial domain identification and downstream biological analysis. www.nature.com/articles/s43... 🖥️ 🧬 🔓 rdcu.be/eNjse

📢Stefan Woerner and colleagues investigate using quantum computing to tackle multi-objective optimization, showing promising results on IBM Quantum computer when compared to classical methods. www.nature.com/articles/s43... ⚛️

📢 Yong Li and colleagues report a neural symbolic regression method that uncovers network dynamics from data, refining biological and ecological models and revealing new insights into disease transmission. www.nature.com/articles/s43... #complexity #NetSci 🔓 rdcu.be/eMoSt

📢 Philipp Grohs and colleagues present an approach that reduces the computational cost to model and compute crystalline materials, such as graphene or lithium hydride, by a factor of 50 compared with previous work. www.nature.com/articles/s43... ⚛️

Out now! Djordje Miladinovic, Patrick Schwab and colleagues present the Large Perturbation Model, a tool for predicting biological responses to chemical and genetic perturbations. www.nature.com/articles/s43... #chemsky

In a recent Article, Tingjun Hou and colleagues develop ECloudGen, a method for generating electron clouds from protein pockets and decoding them into molecules. www.nature.com/articles/s43... #chemsky 🔓 rdcu.be/eLa3Z

📢Out now! @jianxuchen.bsky.social and colleagues from @isas-leibniz.bsky.social present a flexible AI-based method for compressing microscopy images, achieving high compression while preserving details that are critical for downstream analysis. www.nature.com/articles/s43... #Bioimaging #microscopy

🚨To celebrate #WorldMentalHealthDay, our October issue includes a Focus that examines the advances in computational psychiatry and the challenges of developing computational models to address mental health disorders. #mentalhealthresearch #Psychiatry ➡️ nature.com/collections/... 🧵(1/8)

Happy to share our latest in @natcomputsci.nature.com led by (amazing) Ryan Krueger + colab w M. Brenner! We introduce a framework to directly design intrinsically disordered proteins (IDPs) from physics-based simulations. 🧬 doi.org/10.1038/s435... 📰 www.mccormick.northwestern.edu/news/article...

The @natureportfolio.nature.com Collection celebrating the award of the 2025 #chemnobel to Susumu Kitagawa, Richard Robson and Omar Yaghi for the development of metal–organic frameworks is now live! #chemsky 🧪

📢 @shrinivaslab.bsky.social and colleagues introduce a method for designing unstructured proteins with tunable properties. www.nature.com/articles/s43... 🖥️ 🧬 🔓 rdcu.be/eJSuV

📢Ming Li, Lusheng Wang and colleagues present a search algorithm for proteoform identification that computes the largest-size error-correction alignments between a protein mass graph and a spectrum mass graph. www.nature.com/articles/s43... 🖥️ 🧬 🔓 rdcu.be/eJlA5

Out now! Yu Li and colleagues develop CRISP, a foundation-model-based framework for predicting drug responses at single-cell resolution. www.nature.com/articles/s43... 🔓 rdcu.be/eJlt9

📢In a recent Comment, Evan Collins, Robert Langer and Daniel G. Anderson discuss strategies and ongoing challenges for assessing the suitability of self-driving labs for biochemical design problems. www.nature.com/articles/s43... 🔓 rdcu.be/eI2KP

📢Guan Lin and colleagues present a model for integrating DNA sequence with chromatin accessibility data to predict the regulatory impact of non-coding single nucleotide polymorphisms on gene expression. www.nature.com/articles/s43... 🖥️ 🧬 🔓 rdcu.be/eImpy

📢Out now! Olesia Dogonasheva and colleagues from @neurospeech.bsky.social present a predictive model for speech processing in the auditory cortex. www.nature.com/articles/s43... #compneurosky 🔓 rdcu.be/eImit

🚨Our September issue is now live, and it includes a Focus that examines the current state of the art and some of the potential pitfalls and biases of implementing and using LLMs across different domains. #ArtificialIntelligence ➡️ www.nature.com/collections/... 🧵(1/13)

📢In a recent Comment, @nathanleroux.bsky.social, Jan Finkbeiner, and Emre Neftci argue that neuromorphic engineering may hold the key to more efficient inference with transformer-like models. www.nature.com/articles/s43... #compneuro #ArtificialIntelligence 🔓https://rdcu.be/eGHnc

📢A Perspective from Eva Portelance and Masoud Jasbi discusses the compatibility between generative artificial intelligence and generative linguistics. www.nature.com/articles/s43... #ArtificialIntelligence #linguistics 🔓https://rdcu.be/eGHhA

📢Out now! @jixingli.bsky.social, @lamb-cityuhk.bsky.social and colleagues assess whether instruction tuning can enhance LLM's ability to capture linguistic information in the human brain. www.nature.com/articles/s43... #compneuro #ArtificialIntelligence

📢A Perspective from Yong Li, Paolo Santi, Carlo Ratti, Qi R. Wang and colleagues argues that LLMs hold great potential in addressing some of the complexities of urban planning. www.nature.com/articles/s43... #cssky #geosky 🔓https://rdcu.be/eGG26

📢Can Li and colleagues report a memristor-based system that analyzes raw analogue signals from genomic sequencer directly in memory. www.nature.com/articles/s43... 🔓https://rdcu.be/eGwVf

📢A recent Resource proposes a SECRET-GWAS, a rapid, privacy-preserving, population-scale, collaborative GWAS tool. www.nature.com/articles/s43... 🔓https://rdcu.be/eGwUc

📢Lu Fang and colleagues report a complete photonic neuron integrated on a silicon-nitride chip, enabling ultrafast all-optical computing with nonlinear multi-kernel convolution for image recognition and motion generation. www.nature.com/articles/s43... #compneuro 🔓https://rdcu.be/eGwSV

📢Out now! Wenjian Bi and colleagues introduce WtCoxG, a genetic analysis approach for time-to-event data that improves statistical power. www.nature.com/articles/s43... 🔓https://rdcu.be/eGwSg

📢In a recent article, Xiaonan Wang and colleagues develop SurFF, a foundation model for DFT-accurate prediction of surface energies and morphologies in intermetallic catalysts. www.nature.com/articles/s43... #chemsky 🔓https://rdcu.be/eGwRa

📢Out now: a study by @nathanleroux.bsky.social and colleagues from @fz-juelich.de demonstrates that using gain cell-based in-memory computing can accelerate attention in LLMs, training a 1.5B model with up to 70,000x energy savings and 100× speedup over GPUs. www.nature.com/articles/s43...

📢In a Comment, @sucholutsky.bsky.social and colleagues explore the application of LLMs to studying collective cognition. www.nature.com/articles/s43... #CogSci 🔓https://rdcu.be/eGwNw

📢 @lpargyle.bsky.social, @ethanbusby.bsky.social and colleagues discuss in a Perspective the challenges and opportunities related to scientific inference with LLMs in the political and social sciences. www.nature.com/articles/s43... #cssky #PoliSci 🔓https://rdcu.be/eGwK9

🚨Out now! A News Feature from Pedro Burgos highlights how the Global South is building and repurposing language models. www.nature.com/articles/s43... 🔓https://rdcu.be/eEVtj

🚨Our August issue is now live and includes research on antibody-antigen binding, molecular screening for zeolite synthesis, psychological experiments with LLMs, and much more! www.nature.com/natcomputsci...

Out now! Meng Xu and colleagues present a co-designed neuromorphic computing and neural networks system for efficient and affordable modelling ionic and electronic interactions in large-scale materials system. www.nature.com/articles/s43... 🔓https://rdcu.be/ezqfj

📢Generative AI code assistants show promise for scientific software development, but user overreliance risks undetected errors. In this Comment, Gabrielle O'Brien highlights key vulnerabilities and proposes actions for users. www.nature.com/articles/s43... 🔓https://rdcu.be/eyky6 #compsky

📢In this month's editorial, we provide our recommendations for effectively writing computational science manuscripts. www.nature.com/articles/s43...

🚨Our July issue is now live and includes research on adverse drug reactions, multi-fidelity Bayesian optimization, rare event sampling, and much more! t.co/myy3LVRjGO

Out now! @pschwllr.bsky.social and colleagues provide guidelines and recommendations for when to use multi-fidelity Bayesian optimization over their single-fidelity counterparts www.nature.com/articles/s43... 🔓https://rdcu.be/exyUh #chemsky

Researchers from @cosybio-uhh.bsky.social present FedProt which enables privacy-preserving, federated differential protein abundance analysis across multiple institutions. #proteomics www.nature.com/articles/s43...

Out now! @ykamit.bsky.social and colleagues present a neural code conversion method to align brain data across individuals without shared stimuli. The approach enables accurate inter-individual brain decoding and visual image reconstruction across sites. #compneurosky www.nature.com/articles/s43...

Out now! @alissahummer.com @opig.stats.ox.ac.uk and colleagues present Graphinity, a method to predict change in antibody-antigen binding affinity (∆∆G). Also featuring synthetic datasets of ~1 million FoldX-generated and >20,000 Rosetta Flex ddG-generated ∆∆G values! www.nature.com/articles/s43...

Out now! Chrisophe Chipot and colleagues develop a neural-network approach for committor-consistent enhanced-sampling simulations of rare events. www.nature.com/articles/s43... 🔓https://rdcu.be/evcjW

Out now! Xiaoqiong Li and colleagues develop an approach, OrganADR, to predict adverse drug reactions at the organ level for emerging combination pharmacotherapy www.nature.com/articles/s43... 🔓https://rdcu.be/evcgl

Out now! Shuilin Jin and colleagues report a metric to quantify gene-level batch effects in single-cell data. 🖥️ 🧬 www.nature.com/articles/s43... 🔓 rdcu.be/etNNO

Out now! Zhi John Lu and colleagues present RNAsmol, a sequence-based framework for predicting RNA-small molecule interactions #RNASky www.nature.com/articles/s43... 🔓 rdcu.be/etNJk

🚨Our June issue is now live and includes research on cell-cell communication, a study on gender and racial diversity in science, and much more! www.nature.com/natcomputsci...

A Perspective from @gabegomes.bsky.social and colleagues covers the opportunities for LLMs to advance chemical research and the challenges that must be overcome to effectively use LLMs as scientific partners. www.nature.com/articles/s43... 🔓https://rdcu.be/etcqs

📢Shaoting Zhang and colleagues propose CLOVER, a cost-effective instruction learning framework for conversational pathology. #bioimaging 🩺🖥️ www.nature.com/articles/s43... 🔓https://rdcu.be/erQld

📢Out now! Haohao Fu and colleagues introduce a high-throughput, formally exact method for absolute binding free energy calculations. #chemsky www.nature.com/articles/s43... 🔓https://rdcu.be/erBRm

📢 @xuhuihuangchem.bsky.social and colleagues present MEMnets, combining statistical mechanics theory with DL to find the slowest collective variables for biomolecular dynamics. @uwdsi.bsky.social @uwmadscience.bsky.social #chemsky www.nature.com/articles/s43... 🔓https://rdcu.be/eqnCf