1. 22 Sep 2026

    An interpretable deep learning framework for classifying neuronal morphologies using ... - Nature

    ... deep learning framework that unifies topological data analysis, graph neural networks, and traditional morphometrics to classify neuronal ...

    www.nature.com ↗
  2. 16 Sep 2026

    Creen AI Unifies 40+ AI Models for Image, Video, Audio, and Multimodal Creative Production

    Creen AI Unifies 40+ AI Models for Image, Video, Audio, and Multimodal Creative Production. KL 3.0 AI. Creen AI brings image, video, and audio ...

    www.usatoday.com ↗
  3. 15 Sep 2026

    Creen AI Unifies 40+ AI Models for Image, Video, Audio, and Multimodal Creative Production

    "Creen AI connects image generation, animated video frames, and audio production within one multimodal creative workflow."Creen AI brings image, ...

    www.barchart.com ↗
  4. 15 Sep 2026

    LynnReal-Omni Unifies Video Tasks in 32B DiT, 27B Flash at 377ms | AI Weekly

    One shared multimodal diffusion transformer covers text-to-video, image conditioning, reference-guided generation, structural control, editing, ...

    aiweekly.co ↗
  5. 11 Sep 2026

    SenseNova-U1.5 unifies 8B multimodal model with native 4K output | AI Weekly

    The team says it will open-source training code covering supervised fine-tuning, reinforcement learning and multi-expert on-policy distillation.

    aiweekly.co ↗
  6. 11 Sep 2026

    SenseNova-U1.5 unifies 8B multimodal model with native 4K output | AI Weekly

    SenseNova has released SenseNova-U1.5, an 8.2B-parameter model its authors describe as an "8B-MoT native unified multimodal model that understands ...

    aiweekly.co ↗
  7. 01 Sep 2026

    LLM Daily: September 01, 2026 - Buttondown

    MURANO is an open-source framework that unifies the fragmented landscape of mechanistic interpretability tooling — covering loading, recording, ...

    buttondown.com ↗
Sources

Where this comes from

Artificial Intelligence — Google

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

401 items Polled 23 Sep, 00:54 UTC 200

Agentic AI — Google

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

401 items Polled 23 Sep, 00:54 UTC 200

AI Agents — Google

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

401 items Polled 23 Sep, 00:54 UTC 200

Data Science — Google

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

401 items Polled 23 Sep, 00:54 UTC 200

Large Language Model — Google

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

401 items Polled 23 Sep, 00:54 UTC 200

Machine Learning — Google

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

401 items Polled 23 Sep, 00:54 UTC 200

Deep Learning — Google

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

401 items Polled 23 Sep, 00:54 UTC 200

LLMs Alignment — Google

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

45 items Polled 23 Sep, 00:54 UTC 200

AI Alignment — Google

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

401 items Polled 23 Sep, 00:54 UTC 200

Representation Learning — Google

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

147 items Polled 23 Sep, 00:54 UTC 200

Reinforcement Learning — Google

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

401 items Polled 23 Sep, 00:54 UTC 200

Generative AI — Google

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

401 items Polled 23 Sep, 00:54 UTC 200

Multimodal AI — Google

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

401 items Polled 23 Sep, 00:54 UTC 200

Mechanistic Interpretability — Google

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

34 items Polled 23 Sep, 00:54 UTC 200

RLHF — Google

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

36 items Polled 23 Sep, 00:54 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.