1. 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 ↗
  2. 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 ↗
  3. 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 ↗
  4. 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 ↗
  5. 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 ↗
  6. 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 ↗
  7. 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 ↗
  8. 29 Aug 2026

    Mental bootstrapping enables human-level concept learning in self-supervised deep models

    ... Learning Representations (ICLR, 2021). Google ... Bengio, A. Courville, P. Vincent, Representation learning: A review and new perspectives.

    www.science.org ↗
  9. 29 Aug 2026

    Imagining Trajectories Helps Detect Anomalies in Image-Based Reinforcement Learning

    The method, called Imagined Trajectory Representation Matching, or ITRM, uses a learned “world model” to predict how an environment should evolve and ...

    bioengineer.org ↗
  10. 28 Aug 2026

    MD-VAE Embeds Concepts in Variational Autoencoders Using Multiple Decoders

    ... representation learning known as disentanglement. In an ideal disentangled representation, separate components of a neural network's latent code ...

    bioengineer.org ↗
  11. 28 Aug 2026

    Modeling and optimizing trust-mediated influence in temporal heterogeneous networks | PLOS One

    In: ICML Workshop on Graph Representation Learning. 2020. 9. Chen W ... Dyrep: Learning representations over dynamic graphs. In: 2019. 17 ...

    journals.plos.org ↗
  12. 28 Aug 2026

    Teachers' acceptance and understanding of a reduced Dirac formalism and the Bloch sphere

    The ket notation is used as the focussed algebraic representation in the teaching-learning sequence due to its widespread use in university teaching

    journals.aps.org ↗
  13. 28 Aug 2026

    The World Model: The Emerging Hot Track for Modern Embodied Intelligence - 36氪

    Whether it is the generative model represented by Sora, the spatial intelligence model represented ... learning the statistical representation of the ...

    eu.36kr.com ↗
  14. 28 Aug 2026

    'Drizzle Boy' and the Power of Authentic Representation

    NIDA staff and students are honoured to work, learn and create on unceded sovereign lands. ENTER. 'Drizzle Boy' and the Power of Authentic ...

    www.nida.edu.au ↗
  15. 27 Aug 2026

    MeCoLog: Meta-contrastive learning for cross-system few-shot log-based anomaly detection

    These approaches learn sequence representations directly from log data. Sequence models such as LSTM and Transformer architectures capture temporal ...

    journals.plos.org ↗
  16. 27 Aug 2026

    Causal trust aware federated multi agent reinforcement learning for 6G edge networks

    ... representation learning module that leverages structural causal models to discern invariant causal relationships from high-dimensional network ...

    www.nature.com ↗
  17. 27 Aug 2026

    AI Optimizes Air Defense Scheduling with Hybrid Graph Learning and - Bioengineer.org

    ... representation. In this case, nodes can represent targets and ... They show that a particular combination of graph representation learning ...

    bioengineer.org ↗
  18. 26 Aug 2026

    Interpretable Video Summarization Combines Self-Supervised Contrastive and - Bioengineer.org

    ... representation level of a reinforcement-learning framework. That ... Contrastive learning supplies representations designed to be less fragile; ...

    bioengineer.org ↗
  19. 26 Aug 2026

    Scaling multimodal materials representation learning with synthetic narratives - Nature

    Artificial intelligence is increasingly applied to inverse materials design, including crystals and molecules. For molecular systems, multimodal ...

    www.nature.com ↗
  20. 26 Aug 2026

    A knowledge-driven framework for predicting single-cell responses for unprofiled drugs

    Such representations implicitly place drugs in a latent space in which proximity is learned only from co-occurrence in the training atlas, rather than ...

    www.nature.com ↗
Sources

Where this comes from

Artificial Intelligence — Google

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

401 items Polled 22 Sep, 06:12 UTC 200

Agentic AI — Google

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

401 items Polled 22 Sep, 06:12 UTC 200

AI Agents — Google

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

401 items Polled 22 Sep, 06:12 UTC 200

Data Science — Google

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

401 items Polled 22 Sep, 06:12 UTC 200

Large Language Model — Google

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

401 items Polled 22 Sep, 06:12 UTC 200

Machine Learning — Google

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

401 items Polled 22 Sep, 06:12 UTC 200

Deep Learning — Google

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

401 items Polled 22 Sep, 06:12 UTC 200

LLMs Alignment — Google

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

45 items Polled 22 Sep, 06:12 UTC 200

AI Alignment — Google

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

401 items Polled 22 Sep, 06:12 UTC 200

Representation Learning — Google

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

146 items Polled 22 Sep, 06:12 UTC 200

Reinforcement Learning — Google

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

401 items Polled 22 Sep, 06:12 UTC 200

Generative AI — Google

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

401 items Polled 22 Sep, 06:12 UTC 200

Multimodal AI — Google

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

401 items Polled 22 Sep, 06:12 UTC 200

Mechanistic Interpretability — Google

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

33 items Polled 22 Sep, 06:12 UTC 200

RLHF — Google

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

31 items Polled 22 Sep, 06:12 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.