1. 20 Sep 2026

    Finnish professors assess artificial intelligence risks — YLE News | UA.NEWS

    Malicious use of AI. One of the three scenarios considered by ChatGPT and Claude involves people or organizations using artificial intelligence for ...

    ua.news ↗
  2. 17 Sep 2026

    Wayne State researchers use AI to predict glaucoma progression and visual field loss

    Dong's expertise in advanced AI and machine-learning approaches. “I am ... Considered an expert in generative AI, deep learning, graph-based ...

    today.wayne.edu ↗
  3. 17 Sep 2026

    Ericsson ConsumerLab addresses agentic AI through 2030

    About 10 percent of current smartphone owners globally are considered to be AI super users, heavily engaging with multimodal AI. That number is ...

    www.ericsson.com ↗
  4. 17 Sep 2026

    Ericsson Survey Finds 38% of Smartphone Users Expect to Use Agentic AI by 2030

    About 10 percent of current smartphone owners globally are considered to be AI super users, heavily engaging with multimodal AI. That number is also ...

    techafricanews.com ↗
  5. 16 Sep 2026

    From 65,578 Candidates to 15 Altermagnetic MOFs: How AI Sharpened the Search - AZoM

    The initial screening considered over 122 million organic molecules from PubChem. Structural filters and a large language model narrowed the pool, ...

    www.azom.com ↗
  6. 15 Sep 2026

    Will AI really destroy humanity? Pioneers who created the tech weigh in | CNBC Africa

    ... deep learning. ... Geoffrey Hinton, professor emeritus at the University of Toronto, is considered a pioneer of neural networks and deep learning.

    www.cnbcafrica.com ↗
  7. 14 Sep 2026

    Explain why frontier AI models are considered critical dual-use technologies. How does ... - GKToday

    ... multimodal understanding. The same capacity that helps solve complex problems can also be turned to harmful use at scale. Explain why frontier AI ...

    www.gktoday.in ↗
Sources

Where this comes from

Artificial Intelligence — Google

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

401 items Polled 22 Sep, 15:14 UTC 200

Agentic AI — Google

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

401 items Polled 22 Sep, 15:14 UTC 200

AI Agents — Google

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

401 items Polled 22 Sep, 15:14 UTC 200

Data Science — Google

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

401 items Polled 22 Sep, 15:14 UTC 200

Large Language Model — Google

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

401 items Polled 22 Sep, 15:14 UTC 200

Machine Learning — Google

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

401 items Polled 22 Sep, 15:14 UTC 200

Deep Learning — Google

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

401 items Polled 22 Sep, 15:14 UTC 200

LLMs Alignment — Google

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

45 items Polled 22 Sep, 15:14 UTC 200

AI Alignment — Google

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

401 items Polled 22 Sep, 15:14 UTC 200

Representation Learning — Google

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

146 items Polled 22 Sep, 15:14 UTC 200

Reinforcement Learning — Google

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

401 items Polled 22 Sep, 15:14 UTC 200

Generative AI — Google

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

401 items Polled 22 Sep, 15:14 UTC 200

Multimodal AI — Google

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

401 items Polled 22 Sep, 15:14 UTC 200

Mechanistic Interpretability — Google

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

33 items Polled 22 Sep, 15:14 UTC 200

RLHF — Google

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

32 items Polled 22 Sep, 15:14 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.