1. 21 Sep 2026

    Bridging the Gap in Learning Outcomes of Civil Construction Methods - ASCE Library

    This study examined gender differences in learning engagement, learning effectiveness, and learning ... This finding underscores the centrality of deep ...

    ascelibrary.org ↗
  2. 18 Sep 2026

    Recurrent and system-specific model-attribution patterns in PISA 2022 science performance ...

    Using science data from the 2022 Programme for International Student Assessment (PISA), we examined survey-weighted descriptive association and ...

    journals.plos.org ↗
  3. 18 Sep 2026

    Machine learning and deep learning–based prediction of hypertension and analysis of its ...

    This study examined its prevalence, risk factors, and predictive modeling using machine learning (ML) and deep learning (DL) approaches. Method. We ...

    journals.plos.org ↗
  4. 17 Sep 2026

    From the NCAA to the World Cup, Clemson's inaugural Sports Business and Analytics ...

    Other individual capstones examined the data landscape of college football recruiting; offensive inefficiencies across Power 4 football; staffing ...

    news.clemson.edu ↗
  5. 17 Sep 2026

    Machine learning and deep learning–based prediction of hypertension and analysis of its ...

    Hypertension is a leading cause of cardiovascular morbidity and mortality in Bangladesh. This study examined its prevalence, risk factors, ...

    journals.plos.org ↗
  6. 17 Sep 2026

    Machine learning and deep learning–based prediction of hypertension and analysis of its ...

    Hypertension is a leading cause of cardiovascular morbidity and mortality in Bangladesh. This study examined its prevalence, risk factors, ...

    journals.plos.org ↗
  7. 14 Sep 2026

    Meditations: Resolving the Alignment Problem — With AI - Davis Vanguard

    A philosophical dialogue between Martin LeFevre and an artificial intelligence examined the parameters of the AI alignment problem.

    davisvanguard.org ↗
Sources

Where this comes from

Artificial Intelligence — Google

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

401 items Polled 22 Sep, 12:14 UTC 200

Agentic AI — Google

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

401 items Polled 22 Sep, 12:14 UTC 200

AI Agents — Google

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

401 items Polled 22 Sep, 12:14 UTC 200

Data Science — Google

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

401 items Polled 22 Sep, 12:14 UTC 200

Large Language Model — Google

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

401 items Polled 22 Sep, 12:14 UTC 200

Machine Learning — Google

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

401 items Polled 22 Sep, 12:14 UTC 200

Deep Learning — Google

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

401 items Polled 22 Sep, 12:14 UTC 200

LLMs Alignment — Google

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

45 items Polled 22 Sep, 12:14 UTC 200

AI Alignment — Google

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

401 items Polled 22 Sep, 12:14 UTC 200

Representation Learning — Google

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

146 items Polled 22 Sep, 12:14 UTC 200

Reinforcement Learning — Google

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

401 items Polled 22 Sep, 12:14 UTC 200

Generative AI — Google

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

401 items Polled 22 Sep, 12:14 UTC 200

Multimodal AI — Google

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

401 items Polled 22 Sep, 12:14 UTC 200

Mechanistic Interpretability — Google

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

33 items Polled 22 Sep, 12:14 UTC 200

RLHF — Google

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

32 items Polled 22 Sep, 12:14 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.