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 — Google32
Topic

understand

39 articles mention this topic.

Appears alongside
ai24 model11 artificial10 intelligence10 artificial intelligence9 data9 agent7 language7 language model6 understand artificial5
See it in the graph
  1. 16 Sep 2026

    'Don't shoot. Listen': The AI-aided quest to understand Yellowstone's wolves - Mongabay

    Large language model data collection. AI muscle that allows for fast, efficient analysis and novel insights.

    news.mongabay.com ↗
  2. 16 Sep 2026

    The Debate Over Artificial Intelligence and Humans - Havana Times

    I'm looking for a simple way to understand what could be interpreted as the mass expansion of the digital world since we finally became connected.

    havanatimes.org ↗
  3. 16 Sep 2026

    Using AI to Model Wind, Aerosols and Combustion

    ... science: using artificial intelligence to understand and optimize real scientific and engineering systems. ... Master's in Data Science · Master's in ...

    seas.harvard.edu ↗
  4. 16 Sep 2026

    5 things to know about teens' views on AI today - Google Blog

    To better understand how American youth navigate the digital, cultural, and educational landscapes of generative AI, our partner RXN surveyed over ...

    blog.google ↗
  5. 16 Sep 2026

    Optimizing cost and latency with Amazon Bedrock prompt caching | Artificial Intelligence

    ... deep-space communications, space telescopes, and scientific instruments. You understand the unique engineering challenges of spaceflight: vacuum ...

    aws.amazon.com ↗
  6. 14 Sep 2026

    Does AI Have Low EQ? USC Study Identifies Where Models' Emotional Reasoning Breaks Down

    This ability is often found in multimodal large language models (MLLMs), advanced AI systems that can understand and analyze multiple types of data, ...

    viterbischool.usc.edu ↗
  7. 14 Sep 2026

    Does AI Have Low EQ? USC Study Identifies Where Models' Emotional Reasoning Breaks Down

    This ability is often found in multimodal large language models (MLLMs), advanced AI systems that can understand and analyze multiple types of ...

    viterbischool.usc.edu ↗
  8. 14 Sep 2026

    APOE-stratified genome-wide association analyses provide insights into the genetic etiology ...

    Such APOE-stratified insights may help understand and overcome side effects, inform clinical trial enrollment strategies, and create the scientific ...

    www.nature.com ↗
  9. 14 Sep 2026

    MODDE® Design of Experiments Software - Sartorius

    Part of the Umetrics® Data Analytics Ecosystem, it helps scientists identify critical factors, understand cause-and-effect relationships, optimize ...

    www.sartorius.com ↗
  10. 14 Sep 2026

    UC Berkeley researchers' AI model makes links between DNA, genetic disease easier to predict

    ... large language models to understand human languages. It's allegedly outcompeting other large models such as Evo 2 and Nucleotide Transformer ...

    www.dailycal.org ↗
  11. 14 Sep 2026

    10 jobs AI can't replace – and VU courses to get you there | Victoria University

    Demand for people who understand machine learning, data science, and the ethics behind both has surged. ... deep human trust – and increasingly ...

    www.vu.edu.au ↗
  12. 14 Sep 2026

    New AI approaches to help understand complex biological data - Technology Org

    In the first paper, VBA: Vector Bundle Attention for Intrinsically Geometric Representation Learning, the researchers introduce Vector Bundle ...

    www.technology.org ↗
  13. 13 Sep 2026

    Meta-attention fusion and adaptive optimization for explainable diagnosis of acute ... - Nature

    ... deep learning architectures: vision transformers to understand broad correlations throughout the entire slide, and convolutional neural networks ...

    www.nature.com ↗
  14. 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 ↗
  15. 10 Sep 2026

    CoreWeave Launches Physical AI Field Engineering

    This work demands rare expertise: engineers who understand combustion dynamics or aerospace loads and can also build and validate a machine learning ...

    www.coreweave.com ↗
  16. 08 Sep 2026

    Dealroom.co | Orange Logic embeds NVIDIA Nemotron in Agent Studio for governed AI ...

    ... multimodal AI to understand content, make decisions, and act within established enterprise controls. The platform allows agents to work across ...

    app.dealroom.co ↗
  17. 08 Sep 2026

    Orange Logic Brings NVIDIA Nemotron to Agent Studio, Advancing Governed AI ... - Business Wire

    With NVIDIA Nemotron open models, agents can apply advanced reasoning and multimodal AI to that context to understand content, make decisions, and act ...

    www.businesswire.com ↗
  18. 01 Sep 2026

    New AI approaches to help understand complex biological data - Phys.org

    In the first paper, "VBA: Vector Bundle Attention for intrinsically geometric representation learning," the researchers introduce Vector Bundle ...

    phys.org ↗
  19. 15 Aug 2026

    AI Feature Labels From Geometry, Not Text: Tsinghua Posts SAEVerbalizer Preprint

    Mechanistic interpretability is the effort to understand AI models not just by observing what they output, but by identifying the internal structures ...

    www.techtimes.com ↗
Sources

Where this comes from

Artificial Intelligence — Google

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

401 items Polled 22 Sep, 15:14 UTC 200

Agentic AI — Google

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

401 items Polled 22 Sep, 15:14 UTC 200

AI Agents — Google

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

401 items Polled 22 Sep, 15:14 UTC 200

Data Science — Google

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

401 items Polled 22 Sep, 15:14 UTC 200

Large Language Model — Google

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

401 items Polled 22 Sep, 15:14 UTC 200

Machine Learning — Google

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

401 items Polled 22 Sep, 15:14 UTC 200

Deep Learning — Google

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

401 items Polled 22 Sep, 15:14 UTC 200

LLMs Alignment — Google

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

45 items Polled 22 Sep, 15:14 UTC 200

AI Alignment — Google

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

401 items Polled 22 Sep, 15:14 UTC 200

Representation Learning — Google

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

146 items Polled 22 Sep, 15:14 UTC 200

Reinforcement Learning — Google

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

401 items Polled 22 Sep, 15:14 UTC 200

Generative AI — Google

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

401 items Polled 22 Sep, 15:14 UTC 200

Multimodal AI — Google

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

401 items Polled 22 Sep, 15:14 UTC 200

Mechanistic Interpretability — Google

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

33 items Polled 22 Sep, 15:14 UTC 200

RLHF — Google

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

32 items Polled 22 Sep, 15:14 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.