Portfolio ↗

AI feed

Aggregated from 15 sources, polled every 3 hours and deduplicated so the same story never appears twice. Links go straight to the publisher.

All sources Artificial Intelligence — Google401 Agentic AI — Google401 AI Agents — Google401 Data Science — Google401 Large Language Model — Google401 Machine Learning — Google401 Deep Learning — Google401 LLMs Alignment — Google45 AI Alignment — Google401 Representation Learning — Google146 Reinforcement Learning — Google401 Generative AI — Google401 Multimodal AI — Google401 Mechanistic Interpretability — Google33 RLHF — Google31
Topic

emotion

4 articles mention this topic.

Appears alongside
fusion2 hybrid2 model2 multimodal2 multimodal emotion2 artificial2 artificial intelligence2 intelligence2 ai1 briefing1
See it in the graph
  1. 20 Sep 2026

    Artificial intelligence answers: what is the expected result of the Madrid derby? - Goal.com

    The machine holds no emotions or feelings, so Kooora decided to put several controversial questions to artificial intelligence, and to present the ...

    www.goal.com ↗
  2. 15 Sep 2026

    Evaluating early, late, hybrid and meta fusion in multimodal emotion detection with pretrained models

    Sign up for the Nature Briefing: AI and Robotics newsletter — what matters in AI and robotics research, free to your inbox weekly. Email address.

    www.nature.com ↗
  3. 08 Sep 2026

    DynTD: Dynamic Temporal Differential Multimodal Emotion Filtering Model for Emotion ...

    ... Artificial Intelligence Training, Gating Mechanism, Causal Reasoning, Substantial Drop. Abstract. Multimodal Emotion-Cause Pair Extraction (MECPE) ...

    www.computer.org ↗
  4. 24 Aug 2026

    Hybrid CNN-embedding fusion with MFCC-SVM for speech emotion recognition

    The second is a compact convolutional neural network (CNN) using log-mel spectrogram inputs, enabling representation learning directly from time- ...

    journals.plos.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.