What the AI was for
Classification
Assigning existing objects to known categories, including deciding whether each belongs to a class of interest.
72articles
32Structural biology
9Materials & chemistry
31Astronomy
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Machine learning sifts a million candidate moving objects to find 258 new cool stars
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Random forest sorts 130 million Magellanic Cloud sources into ten classes
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Classifiers label individual TESS brightness readings as planet transits or not
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Neural network trained on survey data retuned to spot transients for a liquid mirror telescope
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Image classifiers flag a gas kink in a young star's disc, pointing to a planet
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Astronomers map the mass of galaxy cluster Abell 2744 using lensed images
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Microscopy and a trained classifier map which E. coli proteins clump together
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Protein language model and two classifiers predict where ATP binds on proteins
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Classifier sorts true from false AlphaFold predictions of human protein pairs
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Deep learning sorts crystal structures for single-molecule magnet behaviour
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Software splits coiled-coil proteins into short windows for AlphaFold to model
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Neural network assigns protein domains to structural families from sequence alone
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Deep learning reads cryo-EM maps alongside AlphaFold3 models to build protein structures
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AlphaFold's confidence scores used to predict which disordered protein segments bind LC8
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Machine learning tested against three definitions of protein shape-shifting
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Repeating-coil proteins designed from random sequences using AlphaFold2 in an evolution loop
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Software models of two cancer proteins used to rank mutations by likely effect
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Model labels which protein residues are active sites and what job they do
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Robot laser-heats thin films while software picks each next heating condition
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AI-labelled protein pairs used to test how well function predictors handle unknown proteins
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Diffusion model generates synthetic images of the Sun sorted by flare strength
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Clustering algorithm sorts cluster stars from background stars in thirteen open clusters
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Neural network predicts protein pair binding strength from simplified molecular models
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Protein language model embeddings used to predict succinylation sites in proteins
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Machine learning scores short protein stretches that mark proteins for destruction
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Protein language model trained to spot lactylated lysines in rice proteins
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Machine learning sorts antibody heavy chains by the germ they target
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Neural networks sort supernovae and estimate their distances from brightness alone
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Phage proteins drawn as pictures, then sorted by image-recognition networks
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Classifying stars by type from a single wide-band telescope image
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Random Forest sorts 9,446 white dwarfs by type from Gaia spectra
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Machine learning sorts mitochondrial proteins into three compartments from sequence alone
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Neural network reads protein surfaces to predict DNA and RNA binding
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A shared test set for predicting which enzyme carries out a reaction
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Protein language model embeddings tested against classical descriptors for spotting resistance genes
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Deep learning trained on robotic peptide mapping predicts where antibody proteins degrade
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Machine learning sorts plant protein sequences into disease-resistance proteins or not
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Volunteer labels train a model to find asteroid trails in Hubble archive images
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Neural networks sort 400,000 JWST galaxies to trace when spirals and spheroids appeared
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Astronomers test pre-trained image models for sifting telescope alerts
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Neural networks trained on simulated radio bursts sort real bursts by shape
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Language models trained on protein sequences used to predict sugar-attachment sites
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Machine learning sifts three-colour infrared survey data for cold brown dwarfs
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Neural networks sift 812,118 quasar spectra for hidden gravitational lenses
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Neural network sifts Gaia data for 160,146 stars born outside the Milky Way
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Software predictions map floppy stretches of touch-sensing PIEZO channels
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Neural networks sort eleven years of Mars plasma data into three regions
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Attention patterns inside a protein language model used to cut sequences into reusable units
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Machine learning sifts 25,000 known materials for quantum-technology host candidates
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A search engine for radio galaxy shapes, built on a fine-tuned image-text model
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Neural networks sift 315,000 galaxy images for rare polar ring systems
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Machine learning tool flags protein helices likely to bind DNA or RNA
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Eight machine learning methods sorted supernova gravitational wave signals by nuclear physics model
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Astronomers hunt dust-buried young star clusters in eleven nearby galaxies
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Machine learning predicts whether a dying massive star explodes, from its density profile
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Four million simulated X-ray patterns used to test 21 crystal-symmetry classifiers
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GPT-4 reads band gap values from paper sentences to train better predictors
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Kepler planets sorted by host star's Galactic orbit show differing eccentricities
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Keck spectra pin down distances for six gravitational lenses found by a neural network
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Software spotted a nearby supernova and booked a telescope within minutes
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Algorithm picks starting powders and temperatures for making inorganic materials
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Machine learning picks a new metal mixture, which casting and X-rays confirm
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Machine learning picked which engineered enzymes to build for fatty alcohol production
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Neural network sifts Kepler signals and validates 301 new exoplanets
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Neural network sorts six hundred thousand noise blips in LIGO gravitational-wave data
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Telescope targets chosen nightly by a classifier learning from its own spectra
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Neural network picks bright exploding stars from sky survey alerts and books telescope time
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A learning algorithm ran a synchrotron beamline to find a phase-change material
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Robotic lab with machine learning proposes and runs 353 inorganic synthesis experiments
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Gaussian process models pick light-sensitive ion channels that reach mammalian cell membranes
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Robot lab and learning agent redesign an enzyme to survive higher temperatures
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