1. 03 Sep 2026

    PCIPG: A comprehensive framework for protein complex identification based ... - Research journals

    Third, representation-learning or matrix-factorization-based methods ... Inductive representation learning on large graphs. Adv Neural Inform ...

    journals.plos.org ↗
  2. 03 Sep 2026

    Graph Transformer Puts Rare Cell States on the Map in Single-Cell Data - Bioengineer.org

    ... learning low-dimensional representations of both cells and genes. This ... representation is faithful to the underlying expression data and ...

    bioengineer.org ↗
  3. 03 Sep 2026

    Learning aligned EEG representations with subject-specific encoders | Scientific Reports

    We study whether task supervision and architecture alone can learn subject-aligned representations. We replace a shared EEG encoder with subject- ...

    www.nature.com ↗
  4. 03 Sep 2026

    How does the brain overcome the limits of multitasking? Neuroscientists at CityUHK and ...

    ... representations through learning, enabling more efficient parallel processing. ... representation of the two tasks was not the most effective solution.

    www.cpr.cuhk.edu.hk ↗
  5. 03 Sep 2026

    TMU AI Improves CT Decisions in the ER - QS GEN

    ... representation learning from noisy narrative data. This enables the model to extract meaningful diagnostic information from incomplete or irregular ...

    qs-gen.com ↗
  6. 03 Sep 2026

    Relation-aware multimodal knowledge graph learning for drug–drug interaction prediction

    ... demonstrate that combining multimodal drug representation learning with relation-aware knowledge graph modeling is effective for DDI prediction.

    www.nature.com ↗
  7. 02 Sep 2026

    Lessons from Cannes Lions through the Open Chair lens - The Media Online

    Curiosity drives creative growth: The best creatives keep learning, questioning and adapting. Representation creates possibility: Programmes like ...

    themediaonline.co.za ↗
  8. 02 Sep 2026

    Optical Scanning Holography Detects AI-Generated Satellite Images With 99.31% Accuracy

    Multi-Scale OSH Approach. The proposed framework integrates multi-scale holographic representations with deep learning to enhance the robustness and ...

    www.azooptics.com ↗
  9. 02 Sep 2026

    Development and external validation of a contrastive learning foundation model for ECG ...

    ... representation learning across a broad range of cardiovascular and outcome prediction tasks. More broadly, this work helps to clarify the role of ...

    www.thelancet.com ↗
  10. 02 Sep 2026

    Foundation Models for Blockchain Intelligence - TRM Labs

    This combination of public chain scale, proprietary attribution context, and transformer-based representation learning can be transformative for ...

    www.trmlabs.com ↗
  11. 01 Sep 2026

    Construction of self-supervised learning models for educational scenarios based on data ...

    The framework integrates masked educational interaction reconstruction, contrastive representation learning, temporal interaction-gap modeling, and ...

    www.nature.com ↗
  12. 01 Sep 2026

    A multi-center otoscopy study with external paired-cohort evaluation | PLOS One

    ... representation learning. Materials and methods. Data. To evaluate model generalizability and prevent data leakage, the training, validation, and ...

    journals.plos.org ↗
  13. 01 Sep 2026

    New AI approaches to help understand complex biological data - Phys.org

    In the first paper, "VBA: Vector Bundle Attention for intrinsically geometric representation learning," the researchers introduce Vector Bundle ...

    phys.org ↗
  14. 01 Sep 2026

    AI Breakthroughs Unravel Complex Biological Data - Mirage News

    The studies, VBA: Vector Bundle Attention for Intrinsically Geometric Representation Learning and Dynamic Fractal Mamba: A Neural Renormalization ...

    www.miragenews.com ↗
  15. 01 Sep 2026

    Geo-Hete-HyperGNN as a prior-free molecular hypergraph representation learning strategy

    Molecular representation learning is a cornerstone of AI-driven chemical discovery. However, most molecular hypergraph models define hyperedges ...

    www.nature.com ↗
  16. 01 Sep 2026

    Learning multiple consistent representation for vehicle re-identification | Scientific Reports

    Our research is grounded in deep learning and weakly supervised learning theories, examining these challenges from multiple perspectives. A novel ...

    www.nature.com ↗
  17. 31 Aug 2026

    SemanticST: A Scalable Multi‐Contextual Graph Learning Framework for Uncovering ...

    In the second step, SemanticST utilizes the learned semantic graphs and the gene expression matrix to learn the latent representation of the input ST ...

    advanced.onlinelibrary.wiley.com ↗
  18. 30 Aug 2026

    Explainable and Causal AI in Computational Life Sciences

    ... representation learning, and theoretical advances in explainable and causal AI. Biological, medical, and health data analysis: Explainable and ...

    spj.science.org ↗
  19. 30 Aug 2026

    Enhanced prediction of molecular properties using transfer learning on sigma profiles

    ... representation to support robust property prediction. Meanwhile, large-scale pretrained deep learning models based directly on molecular structure ...

    www.nature.com ↗
  20. 29 Aug 2026

    Explainable Deep Learning of Transcriptomes Prioritizes Candidate Biomarkers With ...

    Third, adjacent non-tumor tissues do not represent a screening population or the full spectrum of benign and premalignant cardia disease. Fourth, bulk ...

    faseb.onlinelibrary.wiley.com ↗
Sources

Where this comes from

Artificial Intelligence — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/1990879549…

401 items Polled 20 Sep, 22:25 UTC 200

Agentic AI — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/4849751788…

401 items Polled 20 Sep, 22:25 UTC 200

AI Agents — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/4849751788…

401 items Polled 20 Sep, 22:25 UTC 200

Data Science — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/4836803184…

401 items Polled 20 Sep, 22:25 UTC 200

Large Language Model — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/8510459957…

401 items Polled 20 Sep, 22:25 UTC 200

Machine Learning — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/4836803184…

401 items Polled 20 Sep, 22:25 UTC 200

Deep Learning — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/1643871049…

401 items Polled 20 Sep, 22:25 UTC 200

LLMs Alignment — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/5121641697…

44 items Polled 20 Sep, 22:25 UTC 200

AI Alignment — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/1764885284…

401 items Polled 20 Sep, 22:25 UTC 200

Representation Learning — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/1758013403…

138 items Polled 20 Sep, 22:26 UTC 200

Reinforcement Learning — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/1720175169…

401 items Polled 20 Sep, 22:26 UTC 200

Generative AI — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/7811591585…

401 items Polled 20 Sep, 22:26 UTC 200

Multimodal AI — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/9568555102…

401 items Polled 20 Sep, 22:26 UTC 200

Mechanistic Interpretability — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/8541059511…

33 items Polled 20 Sep, 22:26 UTC 200

RLHF — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/7811591585…

27 items Polled 20 Sep, 22:26 UTC 200

Feeds are configured through the LEARN_FEEDS environment variable, so new sources can be added without a code change. Each poll sends the stored ETag and Last-Modified headers, so an unchanged feed answers 304 and costs the publisher nothing.