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.
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13 Sep 2026
a novel attention-based multimodal fusion architecture for automated corneal opacity segmentation
To address this, the present study offers a multimodal deep learning framework which segments corneal opacity using anterior segment optical coherence ...
www.nature.com ↗ -
13 Sep 2026
A Machine Learning Framework for Predicting Tax Payment Arrears - MDPI
Tax administrations increasingly use data-driven risk models to prioritize collection resources, yet machine learning applications to personal ...
www.mdpi.com ↗ -
13 Sep 2026
An explainable multi-modal graph learning framework with attention-based GCN-GAT for ... - Nature
... multimodal analysis, the full model achieved an accuracy of 94.8 ... Nature Briefing AI and Robotics. Sign up for the Nature Briefing: AI and ...
www.nature.com ↗ -
11 Sep 2026
Interpretable deep learning-based classification of polycythemia vera, secondary ... - Nature
This study proposes a novel tabular-to-image deep learning framework for the classification of PV, SE, and Healthy Controls (HC) using routine ...
www.nature.com ↗ -
11 Sep 2026
Egg-free cell line solves an MVA scale-up problem | Drug Discovery News
Together, they show how a single deep learning framework can be used in very different ways to identify new antibiotic candidates.” Mapping chemical ...
www.drugdiscoverynews.com ↗ -
11 Sep 2026
A Site‐Aware Representation Learning Framework For Unified Molecular Interaction ...
We apply explicit supervised learning to the LSQM module via this binding-site prediction task and reinforce the transition from attention-driven ...
advanced.onlinelibrary.wiley.com ↗ -
11 Sep 2026
A Site‐Aware Representation Learning Framework For Unified Molecular Interaction ...
With binding-site supervision, MolDBG prioritizes interaction-critical residues before learning drug-target representations, reducing false positives ...
advanced.onlinelibrary.wiley.com ↗ -
11 Sep 2026
A Site‐Aware Representation Learning Framework For Unified Molecular Interaction ...
Many sequence-based affinity and design methods rely on global target representations without explicitly modeling binding regions, leading to site- ...
advanced.onlinelibrary.wiley.com ↗ -
10 Sep 2026
StudentSim: Training 60 Digital Students Using Real Data to Enhance AI Tutoring | KuCoin
It outperformed GPT-5.4 and Maia2 in behavioral accuracy and responsiveness. Researchers integrated StudentSim into a reinforcement learning framework ...
www.kucoin.com ↗ -
10 Sep 2026
A machine learning framework for enhancing threat detection in core banking systems
One of the biggest issues around using machine learning (ML) for cybersecurity in commercial banking is the gap between proof-of-concept and in ...
www.nature.com ↗ -
09 Sep 2026
PhD Seminar: Automatic Recognition of Disordered Speech: Domain Generalization ...
SSL is investigated as a representation learning framework that ... learning shared representations across the training tasks. Finally, meta ...
uwaterloo.ca ↗ -
08 Sep 2026
fal's H3 Max Generates a 5-Second AI Video With Audio in 1.54 Seconds of Inference
... training first and serving later. On the model side, fal Research added new training data and used an in-house reinforcement learning framework to ...
www.desmoinesregister.com ↗ -
05 Sep 2026
A Machine Learning-Based Framework for Discovering Huntington's Disease Stages
... learning framework based on dynamic graph representation learning to capture temporal relationships within and across patients from longitudinal ...
ui.adsabs.harvard.edu ↗ -
31 Aug 2026
SemanticST: A Scalable Multi‐Contextual Graph Learning Framework for Uncovering ...
In the second step, SemanticST utilizes the learned semantic graphs and the gene expression matrix to learn the latent representation of the input ST ...
advanced.onlinelibrary.wiley.com ↗ -
20 Aug 2026
A sequence-based deep learning framework (PepInter) for protein–peptide interaction ... - Nature
A sequence-based deep learning framework (PepInter) for protein–peptide interaction representation learning with pretrained protein language models.
www.nature.com ↗ -
12 Aug 2026
A Distributional Reinforcement Learning Framework for Value Representation in Opioid Use Disorder
Univariate fMRI analysis tested for evidence of value encoding in brain regions canonically involved in value representation, as well as differences ...
www.jneurosci.org ↗
Where this comes from
Artificial Intelligence — Google
https://www.google.co.in/alerts/feeds/05832220720342067762/1990879549…
Agentic AI — Google
https://www.google.co.in/alerts/feeds/05832220720342067762/4849751788…
AI Agents — Google
https://www.google.co.in/alerts/feeds/05832220720342067762/4849751788…
Data Science — Google
https://www.google.co.in/alerts/feeds/05832220720342067762/4836803184…
Large Language Model — Google
https://www.google.co.in/alerts/feeds/05832220720342067762/8510459957…
Machine Learning — Google
https://www.google.co.in/alerts/feeds/05832220720342067762/4836803184…
Deep Learning — Google
https://www.google.co.in/alerts/feeds/05832220720342067762/1643871049…
LLMs Alignment — Google
https://www.google.co.in/alerts/feeds/05832220720342067762/5121641697…
AI Alignment — Google
https://www.google.co.in/alerts/feeds/05832220720342067762/1764885284…
Representation Learning — Google
https://www.google.co.in/alerts/feeds/05832220720342067762/1758013403…
Reinforcement Learning — Google
https://www.google.co.in/alerts/feeds/05832220720342067762/1720175169…
Generative AI — Google
https://www.google.co.in/alerts/feeds/05832220720342067762/7811591585…
Multimodal AI — Google
https://www.google.co.in/alerts/feeds/05832220720342067762/9568555102…
Mechanistic Interpretability — Google
https://www.google.co.in/alerts/feeds/05832220720342067762/8541059511…
RLHF — Google
https://www.google.co.in/alerts/feeds/05832220720342067762/7811591585…
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.