Research Feeds: 293 curated resources
Curated material on research feeds within frontier.
293 resources · page 9 of 10
Intern-S1: A Scientific Multimodal Foundation Model
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arXiv PDF (2025) of the Intern-S1 technical report, Shanghai AI Laboratory's scientific multimodal model.
KAN: Kolmogorov-Arnold Networks
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arXiv paper (2024) introducing Kolmogorov-Arnold Networks (KAN) with learnable activation functions on edges.
Champion-level drone racing using deep reinforcement learning (Swift)
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Nature paper (2023) on Swift, a deep RL drone that beat human champions in drone racing.
Kornia
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Kornia documentation: PyTorch library of differentiable computer-vision and image-processing operations.
Learning to Simulate Complex Physics with Graph Networks (GNS)
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arXiv paper (2020) introducing Graph Network-based Simulators (GNS) for learning complex particle physics.
MatGL
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MatGL: graph deep learning library for materials property prediction and interatomic potentials.
matminer
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matminer documentation: Python library for mining materials data and generating features for ML models.
MaxProof
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arXiv paper (2026) introducing MaxProof, generative-verifier RL and test-time scaling for mathematical proofs.
MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks
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arXiv PDF (2025) of the MedHELM paper on holistic evaluation of LLMs for medical tasks.
MeshGraphNets
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arXiv paper (2020) introducing MeshGraphNets for learning mesh-based physical simulation.
MoveIt
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MoveIt 2 documentation: ROS 2 framework for robot motion planning, manipulation and perception, with tutorials.
Neural Operator: Learning maps between function spaces
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arXiv paper (2021) "Neural Operator: Learning Maps Between Function Spaces", the general framework covering Fourier and graph neural operators for PDEs.
NeuralHydrology
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NeuralHydrology site: research blog and library for neural networks in rainfall-runoff and hydrological modelling.
NVIDIA cuOpt
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NVIDIA cuOpt user guide: GPU-accelerated solver for routing and other optimisation problems.
Orfeo ToolBox Cookbook
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Orfeo ToolBox Cookbook: CNES open-source remote-sensing library with image classification workflows.
PaiNN
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arXiv HTML version of the PaiNN paper (2021) on equivariant message passing for molecular property prediction.
Accurate medium-range global weather forecasting with 3D neural networks (Pangu-Weather)
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Nature paper (2023) on Huawei's Pangu-Weather, medium-range forecasting with 3D neural networks.
Physics-informed deep learning (Raissi et al.)
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arXiv paper (2017) introducing physics-informed neural networks (PINNs) for data-driven solutions of nonlinear PDEs.
PX4 computer-vision and ROS integration
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PX4 Autopilot user guide: open-source drone flight control software with simulation, ROS and computer-vision integration.
Raster Vision
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Raster Vision: open-source library for deep learning on satellite and aerial imagery.
robomimic
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robomimic site: framework and demonstration datasets for robot learning from demonstration.
Scanpy documentation
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Scanpy documentation: Python toolkit for analysing single-cell gene expression data.
SchNet: A continuous-filter convolutional neural network for modeling quantum interactions
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arXiv paper (2017) introducing SchNet, a continuous-filter convolutional network for modelling quantum interactions in molecules.
SchNet: a deep learning architecture for molecules and materials
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arXiv paper (2017) "SchNet - a deep learning architecture for molecules and materials", using continuous-filter convolutions to predict molecular energies and forces.
SUMO
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SUMO documentation: open-source microscopic traffic simulator from DLR, used in traffic-control research.
TD3
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arXiv paper (2018) introducing TD3, addressing function approximation error in actor-critic methods.
Tokamak plasma control with deep RL
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Nature paper (2022) on magnetic control of tokamak plasmas with deep reinforcement learning.
TorchDrug
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TorchDrug: PyTorch library with datasets, models and tutorials for machine learning in drug discovery.
TorchGeo documentation
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TorchGeo documentation: PyTorch library of geospatial datasets, samplers, transforms and pretrained models.
Anemoi
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Anemoi documentation: ECMWF-led framework for building data-driven weather forecasting models, from data to inference.
Scaling long-running autonomous coding (Cursor)
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Cursor post on running autonomous coding agents for weeks using a planner and worker hierarchy.
FAIR-Chem
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FAIR Chemistry documentation: Meta's open datasets, models and workflows for atomistic chemistry and materials.