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Aggregated from 15 sources, polled every 3 hours and deduplicated so the same story never appears twice. Links go straight to the publisher.

All sources Artificial Intelligence — Google401 Agentic AI — Google401 AI Agents — Google401 Data Science — Google401 Large Language Model — Google401 Machine Learning — Google401 Deep Learning — Google401 LLMs Alignment — Google45 AI Alignment — Google401 Representation Learning — Google138 Reinforcement Learning — Google401 Generative AI — Google401 Multimodal AI — Google401 Mechanistic Interpretability — Google33 RLHF — Google27
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ai3233 learning1173 model1066 artificial intelligence761 agent746 data729 machine learning566 agentic508 generative462 multimodal426 language model406 alignment402 system339 reinforcement learning322 openai284 human268 data science245 deep learning240
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  1. 29 Aug 2026

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

    humans construct complex concepts by bootstrapping from primitive representations through autonomous self- learning cycles and memory caching/reuse ...

    www.science.org ↗
  2. 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 ↗
  3. 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 ↗
  4. 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 ↗
  5. 28 Aug 2026

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

    The same abstract concepts can be represented by different visual objects, and the same object can represent different abstract concepts in different ...

    www.science.org ↗
  6. 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 ↗
  7. 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 ↗
  8. 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 ↗
  9. 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 ↗
  10. 27 Aug 2026

    Learning Developer‐Code Contribution Relationship to Improve Code Readability Assessment

    We first build a heterogeneous graph, where nodes represent developers and code files, and weighted edges quantify developers' contribution ratios. On ...

    onlinelibrary.wiley.com ↗
  11. 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 ↗
  12. 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 ↗
  13. 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 ↗
  14. 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 ↗
  15. 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 ↗
  16. 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 ↗
  17. 26 Aug 2026

    Manifold-constrained plasticity enables stable learning in recurrent neural circuits

    However, experimental and modeling studies increasingly report representational drift in both null and coding dimensions, challenging the idea that ...

    journals.plos.org ↗
  18. 26 Aug 2026

    Approaching an unknown communication system by latent space exploration and causal inference

    ... learning interpretability methods, as well as disentangled representation learning (DRL) [33]. In terms of the former, partial dependence plots ...

    royalsocietypublishing.org ↗
  19. 25 Aug 2026

    Manifold-constrained plasticity enables stable learning in recurrent neural circuits

    ... learning despite representational drift. Author summary. Neural activity in the brain can often be described by a small number of coordinated ...

    journals.plos.org ↗
  20. 25 Aug 2026

    Navigating the Materials Space with Machine-Learning-Generated Electronic Fingerprints

    Lenssen, Fast graph representation learning with PyTorch geometric, arXiv:1903.02428. G. Kresse and J. Hafner, Ab initio molecular dynamics for ...

    journals.aps.org ↗
Sources

Where this comes from

Artificial Intelligence — Google

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

401 items Polled 21 Sep, 01:48 UTC 200

Agentic AI — Google

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

401 items Polled 21 Sep, 01:48 UTC 200

AI Agents — Google

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

401 items Polled 21 Sep, 01:48 UTC 200

Data Science — Google

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

401 items Polled 21 Sep, 01:48 UTC 200

Large Language Model — Google

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

401 items Polled 21 Sep, 01:48 UTC 200

Machine Learning — Google

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

401 items Polled 21 Sep, 01:48 UTC 200

Deep Learning — Google

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

401 items Polled 21 Sep, 01:48 UTC 200

LLMs Alignment — Google

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

45 items Polled 21 Sep, 01:48 UTC 200

AI Alignment — Google

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

401 items Polled 21 Sep, 01:48 UTC 200

Representation Learning — Google

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

138 items Polled 21 Sep, 01:48 UTC 200

Reinforcement Learning — Google

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

401 items Polled 21 Sep, 01:48 UTC 200

Generative AI — Google

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

401 items Polled 21 Sep, 01:48 UTC 200

Multimodal AI — Google

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

401 items Polled 21 Sep, 01:48 UTC 200

Mechanistic Interpretability — Google

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

33 items Polled 21 Sep, 01:48 UTC 200

RLHF — Google

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

27 items Polled 21 Sep, 01:48 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.