1. 21 Sep 2026

    AI May Help Detect Cardiovascular Disease Risk During Routine Mammograms

    Good AI detection for hypertension, ischemic heart disease, and stroke. Researchers found that the deep learning AI model performed well at detecting ...

    resources.healthgrades.com ↗
  2. 21 Sep 2026

    Collaboration Must Sit At the Heart of Manufacturing's Multi-Agentic AI Approach. Here's How.

    It's that failure to collaborate that undermines agentic AI in large-scale manufacturing. Whether an agent functions or not is one thing, but another ...

    www.unite.ai ↗
  3. 21 Sep 2026

    Conceptual Learning in Schools: Building Deeper Understanding at Oakridge Vizag

    That distinction sits at the heart of conceptual learning, and it shapes how teachers at Oakridge International School, Visakhapatnam plan lessons ...

    www.oakridge.in ↗
  4. 19 Sep 2026

    Deep Learning Detects Valvular Heart Disease with High Accuracy - EMJ

    Deep learning achieved high diagnostic accuracy for valvular heart disease on echocardiography, but evidence certainty remained low.

    www.emjreviews.com ↗
  5. 19 Sep 2026

    Deep Learning Detects Valvular Heart Disease with High Accuracy - EMJ

    Deep learning achieved high diagnostic accuracy for valvular heart disease on echocardiography, but evidence certainty remained low.

    www.emjreviews.com ↗
  6. 18 Sep 2026

    Anthropic's first embedded evaluator is ... Accenture? - TechCrunch

    That's particularly true at Anthropic, which puts AI safety and alignment at the heart of its mission. Anthropic said more evaluators will be ...

    techcrunch.com ↗
  7. 17 Sep 2026

    OpenAI caught its models leaving notes to successors to hide bad behavior - TechCrunch

    OpenAI said it has addressed the specific behavior, but it gets to the heart of one of the biggest problems in AI safety and alignment research today.

    techcrunch.com ↗
  8. 16 Sep 2026

    Creator rights must not be erased by GenAI - Opinion - Chinadaily.com.cn

    In July, a German court delivered a landmark ruling on a question at the heart of the generative AI boom: Can artificial intelligence companies ...

    www.chinadaily.com.cn ↗
  9. 15 Sep 2026

    Study demonstrates how machine learning model enables targeted Lp(a) screening

    The Family Heart Foundation has published a new study in JACC: Advances demonstrating how its FIND Lp(a) Machine Learning Model can identify ...

    medicalxpress.com ↗
  10. 15 Sep 2026

    Cardiovascular Imaging AI Startup Corologic Raises Seed Funding from Kakao Ventures ...

    Corologic, a cardiovascular imaging artificial intelligence (AI) ... Yeji X Raises Seed Funding to Reduce Heart Failure Readmissions with Multimodal AI ...

    en.wowtale.net ↗
  11. 15 Sep 2026

    Family Heart Foundation Study Demonstrates How the FIND Lp(a) Machine Learning Model ...

    ... Machine Learning Model can identify people with atherosclerotic cardiovascular disease (ASCVD) who are more likely to have high lipoprotein(a) ...

    finance.yahoo.com ↗
  12. 14 Sep 2026

    New AI model screens high-risk heart patients for elevated Lp(a) - Cardiovascular Business

    Additional testing is already underway to learn more about how this advanced machine learning model could improve patient care for patients with high ...

    cardiovascularbusiness.com ↗
  13. 14 Sep 2026

    AI vocabulary is changing fast: Five phrases at the heart of the tech - The Indian Express

    ... large language models, hallucinations, prompt engineering and generative AI. But as frontier models become more capable, a new set of terms is ...

    indianexpress.com ↗
  14. 11 Sep 2026

    Helping AI Read the Heart More Reliably - Eindhoven University of Technology

    In her thesis, Towards Reliable Multimodal ECG Language Models for Cardiovascular Care, Tang examines how artificial intelligence can combine ...

    www.tue.nl ↗
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.