1. 21 Sep 2026

    Kazakhstan Turns to AI and Local Data to Rethink Nutrition

    Kazakhstan wants more precise nutrition policy. Scientists and health experts are turning to local dietary data, artificial intelligence and new ...

    dknews.kz ↗
  2. 19 Sep 2026

    AI-controlled bioreactors open doors to faster, more precise enzyme production

    Researchers have developed bioreactors controlled by a machine learning (ML) framework that continuously monitor critical bioprocessing parameters ...

    megaproject.com ↗
  3. 17 Sep 2026

    New AI technique could make minimally invasive surgeries safer and more precise

    “Instead of generating data from nothing, like some types of generative AI, this physics simulation is entirely based on the CT scan or MRI from this ...

    news.mit.edu ↗
  4. 16 Sep 2026

    New AI technique could make minimally invasive surgeries safer and more precise

    ... deep-learning model robust enough to adapt to many patients, Gopalakrishnan says. Rather than trying to make a machine-learning model that can be ...

    news.mit.edu ↗
  5. 16 Sep 2026

    New AI technique could make minimally invasive surgeries safer and more precise

    ... deep-learning model robust enough to adapt to many patients, Gopalakrishnan says. Rather than trying to make a machine-learning model that can be ...

    news.mit.edu ↗
  6. 25 Aug 2026

    AFENet: Attention-driven feature evolution network for precise polyp segmentation

    Specifically, a novel Co-attentive Representation Learning (CaRL) module is designed to replace traditional skip connections, performing co-attention- ...

    www.sciencedirect.com ↗
  7. 20 Aug 2026

    A novel hybrid deep learning pipeline for precise segmentation of skin cancer lesions

    ... representation learning. The overall framework of ViT consists of two main steps. The first one is an encoder for feature extraction, and the ...

    www.frontiersin.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.