1. 22 Sep 2026

    Explainable machine learning identifies candidate shared neuroanatomical features in ... - Nature

    ... machine learning exacerbates this diagnostic fragmentation by prioritizing divergent markers over shared traits, thereby obscuring the invariant ...

    www.nature.com ↗
  2. 21 Sep 2026

    Human Brain Microprotein Atlas Reveals 1,067 Hidden Proteins | Technology Networks

    ... deep mass spectrometry data across 610 brain samples. Candidate microprotein signatures were validated through machine learning analysis. The team ...

    www.technologynetworks.com ↗
  3. 20 Sep 2026

    Without federal action, candidates for governor see an opening on AI - POLITICO

    “By the time Congress comes back into session after the election, we could be dealing with a whole new generation of generative AI, and more scary ...

    www.politico.com ↗
  4. 19 Sep 2026

    IIT Kanpur Launches Third Cohort Of AI, ML Course, Adds New Module On Agentic AI

    With the help of this short term intensive course candidates can build a strong foundation in Artificial Intelligence (AI) and Machine Learning (ML) ...

    www.ndtv.com ↗
  5. 19 Sep 2026

    Anthropic opens AI-powered biology research lab - SiliconANGLE

    The robots will be powered by Anthropic's Claude series of large language models. ... The model generated 12 candidate molecules during the test.

    siliconangle.com ↗
  6. 17 Sep 2026

    Job Application for Staff Machine Learning Engineer, Retrieval at Reddit - Greenhouse

    The Ads Retrieval ML team builds the machine learning systems that identify relevant advertising candidates for Reddit users. Retrieval sits at the ...

    job-boards.greenhouse.io ↗
  7. 16 Sep 2026

    IonQ, ORNL, NVIDIA, and UT Knoxville Advance AI-Driven Generative Quantum Circuit Synthesis

    For each subproblem, the generative transformer outputs candidate quantum circuits directly, which are evaluated in a fixed 10-candidate sampling step ...

    quantumcomputingreport.com ↗
  8. 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 ↗
  9. 16 Sep 2026

    IonQ, ORNL, NVIDIA, and the University of Tennessee, Knoxville Show AI Method Reduces ...

    ... model behind large language models but trained on circuits instead of text. The trained model generates candidate quantum circuits directly ...

    investors.ionq.com ↗
  10. 16 Sep 2026

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

    Researchers developed an AI-assisted computational pipeline that combines symmetry-guided screening, machine learning, and density functional ...

    www.azom.com ↗
  11. 15 Sep 2026

    Candidate biomarkers may help track Parkinson's across disease stages

    Machine learning is a type of artificial intelligence that uses computer algorithms to learn from data and make predictions. From this analysis, the ...

    parkinsonsnewstoday.com ↗
  12. 14 Sep 2026

    AI-accelerated discovery of altermagnetic metal-organic frameworks via interpretable ...

    From symmetry-guided DFT screening of 350 candidates, we identified six altermagnetic MOFs. A two-stage machine learning strategy was then employed: ...

    www.nature.com ↗
  13. 13 Sep 2026

    Can chatbots predict election results? The promise, the hype and the reality - Digital Journal

    Large language models (LLMs) such as ChatGPT, Gemini, Claude and Grok are now routinely asked about political parties, candidates, polling trends ...

    www.digitaljournal.com ↗
  14. 29 Aug 2026

    Explainable Deep Learning of Transcriptomes Prioritizes Candidate Biomarkers With ...

    Third, adjacent non-tumor tissues do not represent a screening population or the full spectrum of benign and premalignant cardia disease. Fourth, bulk ...

    faseb.onlinelibrary.wiley.com ↗
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.