1. 09 Sep 2026

    Vistatec Launches Vistatec Data, a Dedicated AI Data Services Brand for Global AI

    ... multimodal AI data services. Helping organizations build, train, evaluate, and improve AI outputs, workflows, and systems using data that reflects ...

    www.einnews.com ↗
  2. 06 Sep 2026

    Residual-enhanced contrastive learning improves knowledge-aware - Bioengineer.org

    The model performs contrastive learning not only within a single graph—distinguishing node-level representations against perturbed or augmented views— ...

    bioengineer.org ↗
  3. 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 ↗
  4. 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 ↗
  5. 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 ↗
  6. 24 Aug 2026

    Multi-Resolution Enhancement Improves Full-Spectrum Neural Representations

    The problem is closely related to what researchers call spectral bias. During training, many neural networks tend to learn slowly changing patterns ...

    bioengineer.org ↗
  7. 12 Aug 2026

    Training neural networks on mechanistic simulations improves scientific inference - Nature

    Scientific modeling faces a tradeoff between the interpretability of mechanistic theory and the predictive power of machine learning.

    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, 09:12 UTC 200

Agentic AI — Google

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

401 items Polled 22 Sep, 09:12 UTC 200

AI Agents — Google

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

401 items Polled 22 Sep, 09:12 UTC 200

Data Science — Google

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

401 items Polled 22 Sep, 09:12 UTC 200

Large Language Model — Google

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

401 items Polled 22 Sep, 09:12 UTC 200

Machine Learning — Google

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

401 items Polled 22 Sep, 09:12 UTC 200

Deep Learning — Google

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

401 items Polled 22 Sep, 09:12 UTC 200

LLMs Alignment — Google

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

45 items Polled 22 Sep, 09:12 UTC 200

AI Alignment — Google

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

401 items Polled 22 Sep, 09:12 UTC 200

Representation Learning — Google

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

146 items Polled 22 Sep, 09:12 UTC 200

Reinforcement Learning — Google

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

401 items Polled 22 Sep, 09:12 UTC 200

Generative AI — Google

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

401 items Polled 22 Sep, 09:12 UTC 200

Multimodal AI — Google

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

401 items Polled 22 Sep, 09:12 UTC 200

Mechanistic Interpretability — Google

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

33 items Polled 22 Sep, 09:12 UTC 200

RLHF — Google

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

31 items Polled 22 Sep, 09:12 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.