1. 22 Sep 2026

    Agentic AI ROI: Can AI Pay for Itself? | EY - US

    Agentic AI return on investment starts with understanding AI's full cost. Learn how to measure value, growth and payback beyond tokens.

    www.ey.com ↗
  2. 21 Sep 2026

    Open-Sourcing Rebalancer: A Generic, High-Performance Library for Solving Assignment Problems

    Without proper tools, such debugging required a deep understanding of the solver's internals. ... Software Engineer, Machine Learning. SUNNYVALE, US.

    engineering.fb.com ↗
  3. 21 Sep 2026

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    today.marquette.edu ↗
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    Workstation 3: Investigating Large Language Model (LLM) bias and reliability: healthcare and legal domains. Explore how LLM systems currently used ...

    today.marquette.edu ↗
  5. 21 Sep 2026

    A Tale of Two Cities: Understanding the Divergent Judicial Approaches of Delhi and Munich ...

    The rapid advancement of generative artificial intelligence ("AI") has compelled courts across jurisdictions to grapple with one of the most…

    www.lexology.com ↗
  6. 21 Sep 2026

    A Tale of Two Cities: Understanding the Divergent Judicial Approaches of Delhi and Munich ...

    ... large language models ("LLMs") without the authorisation of the copyright owner? ... model said, but on what it was asked. In ANI Media, OpenAI ...

    www.lexology.com ↗
  7. 21 Sep 2026

    3 principles to bring your data monetization initiatives to life | MIT Sloan

    ... data monetization efforts will drive financial performance: Data management; Data platform; Data science; Customer understanding; Acceptable data use ...

    mitsloan.mit.edu ↗
  8. 21 Sep 2026

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    Conceptual Learning in Schools: Building Deeper Understanding at Oakridge Vizag

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  11. 21 Sep 2026

    Emuobosa Patience Ojoboh: Using Artificial Intelligence To Unlock the Full Potential of 4D ...

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  14. 20 Sep 2026

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  16. 20 Sep 2026

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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.