---
id: "/science-medicine/advanced/page/5/"
title: "Science & medicine for advanced learners · page 5"
url: "https://skillissue.dev/science-medicine/advanced/page/5/"
---

# Science & medicine for advanced learners

[Beginner](/science-medicine/beginner/index.md) [Intermediate](/science-medicine/intermediate/index.md) [Advanced](/science-medicine/advanced/index.md) [Expert](/science-medicine/expert/index.md)

189 resources · page 5 of 6

- 

### [SpyTorch](/frontier/research-feeds/spytorch-spiking-nns-tutorial/index.md)

by [Friedemann Zenke](https://fzenke.net)

SpyTorch GitHub repo: tutorial on surrogate gradient learning in spiking neural networks.

entity repo West en 

- 

### [State Council Opinions on Deepening the "AI+" Action (国务院关于深入实施"人工智能+"行动的意见)](/frontier/research-feeds/state-council-opinions-on-deepening-the-ai-action/index.md)

by [State Council of the People's Republic of China](https://www.gov.cn/)

China State Council opinions (August 2025) on deepening the AI+ action across the economy.

entity standard-policy China zh 

- 

### [TerraTorch](/frontier/research-feeds/terratorch/index.md)

by [TorchGeo](https://torchgeo.org/)

TerraTorch GitHub repo: toolkit for fine-tuning geospatial foundation models.

entity repo Global en 

- 

### [The Well dataset](/frontier/research-feeds/the-well-dataset/index.md)

by [Polymathic AI](https://polymathic-ai.org)

Polymathic AI The Well GitHub repo: 15TB collection of physics simulation datasets for machine learning.

entity repo West en 

- 

### [TorchANI](/frontier/research-feeds/torchani/index.md)

by [AIQM](https://github.com/aiqm)

TorchANI GitHub repo: library for training and using ANI neural network potentials for molecules.

entity repo US; international en 

- 

### [TxGNN](/frontier/research-feeds/txgnn/index.md)

by [Artificial Intelligence for Medicine and Science @ Harvard Zitnik Lab](https://zitniklab.hms.harvard.edu)

Harvard TxGNN GitHub repo: graph model for zero-shot prediction of drug repurposing.

entity repo US en 

- 

### [UNI (Mahmood Lab) pathology foundation model](/frontier/research-feeds/uni-mahmood-lab-pathology-foundation-model/index.md)

by [Mahmood Lab @ Harvard/MGB](https://www.mahmoodlab.org)

Mahmood Lab UNI GitHub repo: pathology foundation model (Nature Medicine) with weights and embeddings.

entity model US en 

- 

### [Uni-Mol](/frontier/research-feeds/uni-mol/index.md)

by [DeepModeling](https://deepmodeling.com)

Uni-Mol GitHub repo (DP Technology): 3D molecular pretraining models for property prediction and docking.

entity model China en 

- 

### [Wildlife Insights](/frontier/research-feeds/wildlife-insights/index.md)

by [Wildlife Insights](https://wildlifeinsights.org/)

Wildlife Insights: platform using machine learning to identify species in camera-trap images for conservation.

entity company Global en 

- 

### [Zooniverse](/frontier/research-feeds/zooniverse/index.md)

by [Zooniverse](https://zooniverse.org/)

Zooniverse: citizen-science platform whose volunteer labels support research projects and train ML models.

entity company UK/Global mul 

- 

### [ECMWF AIFS](/frontier/research-feeds/ecmwf-aifs/index.md)

by [European Centre for Medium-Range Weather Forecasts (ECMWF)](https://www.ecmwf.int/)

ECMWF page on AIFS, its operational machine-learning weather forecasting system, with model versions and open data access.

Intermediate–Advanced learning_resource docs EU en 

- 

### [FutureHouse](/frontier/research-feeds/futurehouse/index.md)

by [FutureHouse](https://futurehouse.org/)

FutureHouse research page: publications and tools from the non-profit building AI agents for scientific research.

Intermediate–Advanced learning_resource docs US en 

- 

### [Physics-informed machine learning (Nature Reviews Physics)](/frontier/research-feeds/physics-informed-machine-learning-nature-reviews-physics/index.md)

by [George Em Karniadakis et al. (Brown University)](https://www.brown.edu/)

Nature Reviews Physics review (2021) of physics-informed machine learning.

Intermediate–Advanced learning_resource paper West en 

- 

### [Actuarial Data Science](/frontier/research-feeds/actuarial-data-science/index.md)

by [Swiss Association of Actuaries (Actuarial Data Science)](https://www.actuarialdatascience.org/)

Actuarial Data Science site from the Swiss Association of Actuaries with tutorials and notebooks applying ML to insurance.

Advanced learning_resource course Switzerland/global en 

- 

### [AIFS paper (ECMWF)](/frontier/research-feeds/aifs-paper-ecmwf/index.md)

by [Simon Lang et al. (ECMWF)](https://www.ecmwf.int/)

arXiv paper (2024) describing AIFS, ECMWF's data-driven weather forecasting system.

Advanced–Expert learning_resource paper West en 

- 

### [AlphaEvolve: A Gemini-powered coding agent for designing advanced algorithms](/frontier/research-feeds/alphaevolve/index.md)

by [Google DeepMind](https://deepmind.google/)

Google DeepMind post on AlphaEvolve, a Gemini-based coding agent that evolves algorithms for maths and computing problems.

Advanced learning_resource blog West en 

- 

### [AlphaFold 2 Nature paper](/frontier/research-feeds/alphafold-2-nature-paper/index.md)

by [John Jumper et al. (DeepMind)](https://deepmind.google/)

Nature paper (2021) on AlphaFold 2, highly accurate protein structure prediction.

Advanced learning_resource paper West en 

- 

### [Olympiad-Level Formal Mathematical Reasoning with Reinforcement Learning (AlphaProof)](/frontier/research-feeds/alphaproof-google-research-publication-page/index.md)

by [Google Research](https://research.google/)

Google Research publication on AlphaProof: olympiad-level formal mathematical reasoning with reinforcement learning.

Advanced learning_resource paper UK/US en 

- 

### [Aurora](/frontier/research-feeds/aurora/index.md)

by [Cristian Bodnar et al. (Microsoft)](https://www.microsoft.com/)

arXiv HTML version of the Aurora paper (2024) on a foundation model of the atmosphere.

Advanced–Expert learning_resource paper Global (Microsoft Research; Ca en 

- 

### [Autoware Documentation](/frontier/research-feeds/autoware/index.md)

by [Autoware Foundation](https://autoware.org/)

Autoware documentation: open-source autonomous-driving software stack, with architecture, setup and deployment guides.

Advanced learning_resource docs Japan/global en 

- 

### [Baidu PaddleHelix](/frontier/research-feeds/baidu-paddlehelix/index.md)

by [PaddlePaddle](https://www.paddlepaddle.org.cn/)

Baidu PaddleHelix GitHub repo: bio-computing platform on PaddlePaddle for drug discovery and protein models.

Advanced learning_resource guide China en|zh 

- 

### [CARLA](/frontier/research-feeds/carla/index.md)

by [CARLA team](https://carla.org/)

CARLA simulator documentation: setup, Python API, sensors and scenarios for autonomous-driving research.

Advanced learning_resource docs Spain/global en 

- 

### [Chemprop](/frontier/research-feeds/chemprop/index.md)

by [Chemprop team (MIT)](https://github.com/chemprop/chemprop)

Chemprop documentation: PyTorch framework for training message-passing neural networks for molecular property prediction.

Advanced learning_resource docs US/global en 

- 

### [CityLearn](/frontier/research-feeds/citylearn/index.md)

by [CityLearn (Intelligent Environments Lab, UT Austin)](https://www.citylearn.net/)

CityLearn documentation: open-source Gymnasium environment for reinforcement learning in building energy and demand response.

Advanced learning_resource docs Global en 

- 

### [ClimaX](/frontier/research-feeds/climax/index.md)

by [Tung Nguyen et al. (UCLA and Microsoft Research)](https://www.microsoft.com/en-us/research/)

ICML 2023 paper ClimaX: a foundation model for weather and climate.

Advanced–Expert learning_resource paper Global (Microsoft Research; UC en 

- 

### [Autonomous chemical research with large language models (Coscientist)](/frontier/research-feeds/coscientist-boiko-et-al-nature-2023/index.md)

by [Daniil A. Boiko et al. (Carnegie Mellon University)](https://www.cmu.edu/)

Nature paper (2023) on Coscientist, autonomous chemical research with large language models.

Advanced learning_resource paper US en 

- 

### [DeepONet (Lu et al.)](/frontier/research-feeds/deeponet-lu-et-al/index.md)

by [Lu Lu et al. (Brown University)](https://www.brown.edu/)

arXiv paper (2019) introducing DeepONet for learning nonlinear operators of differential equations.

Advanced–Expert learning_resource paper West en 

- 

### [Fourier Neural Operator (Li et al.)](/frontier/research-feeds/fourier-neural-operator-li-et-al/index.md)

by [Zongyi Li et al. (Caltech)](https://www.caltech.edu/)

arXiv paper (2020) introducing the Fourier Neural Operator for learning parametric PDE solutions.

Advanced–Expert learning_resource paper West en 

- 

### [FuXi Weather](/frontier/research-feeds/fuxi-weather-data-to-forecast-arxiv-2408-05472/index.md)

by [Xiuyu Sun et al. (Fudan University)](https://www.fudan.edu.cn/)

arXiv PDF (2024) of FuXi Weather, an end-to-end ML system forecasting directly from raw observations.

Advanced learning_resource paper China (Fudan/Shanghai Academy of AI for Science) en 

- 

### [GenCast paper](/frontier/research-feeds/gencast-paper/index.md)

by [Ilan Price et al. (Google DeepMind)](https://deepmind.google/)

arXiv paper (2023) introducing GenCast, a diffusion-based ensemble model for medium-range weather forecasting.

Advanced–Expert learning_resource paper West en 

- 

### [Global Fishing Watch research](/frontier/research-feeds/global-fishing-watch-research/index.md)

by [Global Fishing Watch](https://globalfishingwatch.org/)

Global Fishing Watch research page: studies using machine learning and satellite data on ocean activity.

Advanced learning_resource paper Global en 

- 

### [Scaling deep learning for materials discovery (GNoME)](/frontier/research-feeds/gnome-scaling-deep-learning-for-materials-discovery-nature-2023/index.md)

by [Amil Merchant et al. (Google)](https://ai.google/)

Nature paper (2023) on GNoME, scaling deep learning to discover new stable materials.

Advanced learning_resource paper US/UK en 

[Previous page](/science-medicine/advanced/page/4/index.md) [Next page](/science-medicine/advanced/page/6/index.md)

[Plain-text Markdown copy](/science-medicine/advanced/page/5/index.md)
