1. 21 Sep 2026

    Data Ontology defined: The context layer your AI agents are missing | Databricks Blog

    AI agents remove that human, and the assumption breaks. Semantic layers and knowledge graphs tried to solve this before and often became shelfware ...

    www.databricks.com ↗
  2. 21 Sep 2026

    RetroChimera: New research advances AI-assisted molecule synthesis - Microsoft Source

    But recent advances in machine learning are now challenging this assumption. As described in the Nature study, RetroChimera, paired with a search ...

    news.microsoft.com ↗
  3. 19 Sep 2026

    Python, Statistics, and Machine Learning: 5 Data Science Certificate Programs for Different ...

    Python helps learners work with data programmatically, statistics provides a way to test assumptions and interpret uncertainty, and machine learning ...

    www.streetinsider.com ↗
  4. 19 Sep 2026

    Python, Statistics, and Machine Learning: 5 Data Science Certificate Programs for Different ...

    Data science brings several skills together. Python helps learners work with data programmatically, statistics provides a way to test assumptions ...

    www.streetinsider.com ↗
  5. 18 Sep 2026

    From Objects to Agents - Communications of the ACM

    Based on the working assumption that agentic programming is a new programming paradigm, in which autonomous AI agents dynamically plan, reason, and ...

    cacm.acm.org ↗
  6. 17 Sep 2026

    AI agents are breaking the batch-era assumptions behind object storage - VentureBeat

    AI agents and RAG workloads challenge enterprise storage, causing failures as they scale. Addressing those problems requires an architectural ...

    venturebeat.com ↗
  7. 15 Sep 2026

    Ground Truth Is a Myth, Researcher Says - Communications of the ACM

    While much of machine learning is built around the assumption of a single ground truth that treats variation as noise, AI researcher Barbara Plank ...

    cacm.acm.org ↗
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.