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AI feed

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 — Google146 Reinforcement Learning — Google401 Generative AI — Google401 Multimodal AI — Google401 Mechanistic Interpretability — Google33 RLHF — Google31
Topic

learn

119 articles mention this topic.

Appears alongside
ai68 learning60 data33 model30 machine28 machine learning27 agent27 representation21 intelligence19 science18
See it in the graph
  1. 10 Sep 2026

    Humanoid robot learns to sprint and perform spin kicks using AI trained on human motion data

    Reinforcement learning is a widely used method to train computer algorithms through rewards and penalties. In this case, the model was rewarded for ...

    techxplore.com ↗
  2. 08 Sep 2026

    scGSI: Graph-guided self-supervised integration of paired single-cell multi-omics

    The goal of scGSI is to learn a shared low-dimensional representation in which the two modalities of the same cell are accurately aligned, while ...

    journals.plos.org ↗
  3. 08 Sep 2026

    God Help Us, Let's Try To Learn About Mechanistic Interpretability Techniques

    Mechanistic interpretability is the science of “reading an AI's mind”. Large language models are “grown, not built”. Researchers run training data ...

    www.astralcodexten.com ↗
  4. 08 Sep 2026

    New adaptive framework redefines multi-view subspace clustering through structure discovery

    Algorithms in this tradition learn these subspaces from each view, fuse them into a shared representation, and then run a standard clustering ...

    bioengineer.org ↗
  5. 06 Sep 2026

    Unsupervised Representation Learning in Deep Reinforcement Learning: A Review - arXiv

    Given the observation stream, we want to (i) learn low-dimensional state representations that preserve the relevant properties of the world and then ( ...

    arxiv.org ↗
  6. 06 Sep 2026

    Letter to the Editor: Structure of government fails when representation ceases - Arizona Daily Sun

    Letter to the Editor: Structure of government fails when representation ceases ... Learn More. Gift Subscription: Digital Only (AZ Daily Sun). Learn ...

    azdailysun.com ↗
  7. 03 Sep 2026

    Upward running for Ward 1 on platform of listening, learning and representation

    Listen, learn and represent. Those are the principles Kiera Upward says will guide her as she seeks to represent Ward 1 on Wilmot council.

    www.granthaven.com ↗
  8. 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 ↗
  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

    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 ↗
  11. 26 Aug 2026

    AI Feedback Loops Explained: How Artificial Intelligence Learns, Improves

    RLHF is a technique where humans rate AI outputs and provide guidance that helps models produce higher-quality and safer responses. 4. Can AI systems ...

    www.analyticsinsight.net ↗
  12. 21 Aug 2026

    Kawin Ethayarajh - t.co / X

    Classic: learn a reward model from human feedback (RLHF), then optimize the policy to maximize expected reward. ... Khatri et al. (2026), Scaling RL ...

    t.co ↗
  13. 20 Aug 2026

    Online game player churn prediction based on multiplex social influence through network embedding

    Network embedding (also known as network representation learning) aims to learn node embeddings in low-dimensional latent space, preserving multi ...

    journals.plos.org ↗
  14. 20 Aug 2026

    Self-Supervised Representation Learning for Cold-Start Weekly Demand Forecasting

    Self-supervised learning (SSL) has been proposed as a way to learn transferable representations before supervised forecasting. This study evaluates ...

    papers.ssrn.com ↗
  15. 20 Aug 2026

    Auditing Preference Biases and Fine-Tuning Language Models with Direct ... - MarkTechPost

    Learn to audit dataset bias and fine-tune language models using Direct Preference Optimization on the Anthropic HH-RLHF data.

    www.marktechpost.com ↗
  16. 14 Aug 2026

    From Biosignals to Health Insights: Samsung Research's Work on Health Foundation Models

    HiMAE is a self-supervised learning model that learns representation from wearable data across multiple time scales. It uses multiple encoders to ...

    www.samsungmobilepress.com ↗
  17. 13 Aug 2026

    How Embeddings Power Semantic Search, RAG and Recommendations - Snowflake

    ... learning workflows. Learn how to scale embeddings with ... representation space according to patterns and relationships in the training data.

    www.snowflake.com ↗
  18. 12 Aug 2026

    Learning contact representations in real-world clutter for universal robotic grasping - Nature

    A long-standing goal in robotics is to create general-purpose agents that can learn foundational skills applicable across diverse hardware and ...

    www.nature.com ↗
  19. 10 Aug 2026

    Why single-cell foundation models have underdelivered and what drug discovery needs instead

    Scientists hypothesised that if you train a transformer across millions of cells, it may learn a useful representation of cellular state. That premise ...

    www.drugtargetreview.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.