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.
neural network
69 articles mention this topic.
-
13 Sep 2026
IIT Kanpur Announces Online Certificate Programme in AI, ML, DL - EdexLive
... Machine Learning (ML), Neural Networks and Deep Learning (DL). The programme is scheduled to be conducted online through Zoom from December 14 ...
www.edexlive.com ↗ -
12 Sep 2026
Multi-hypergraph convolutional neural network for herb recommendation - ScienceDirect
... deep-learning-based herb recommendation methods have emerged, including topic models and graph neural networks (GNNs). Due to the lack of unified ...
www.sciencedirect.com ↗ -
12 Sep 2026
Superalignment: AI Safety, Risks & Challenges for Advanced AI - INSIGHTS IAS
Mechanistic Interpretability: Peering inside neural networks like an MRI to detect deceptive alignment—such as an AI feigning obedience during ...
www.insightsonindia.com ↗ -
06 Sep 2026
Training the Human Neural Network - RLHF to RLDF. | Ibrahim Mukherjee - The Blogs
Repeat the process often enough and behaviour changes. In contemporary AI, RLHF normally means Reinforcement Learning from Human Feedback: humans ...
blogs.timesofisrael.com ↗ -
28 Aug 2026
MD-VAE Embeds Concepts in Variational Autoencoders Using Multiple Decoders
... representation learning known as disentanglement. In an ideal disentangled representation, separate components of a neural network's latent code ...
bioengineer.org ↗ -
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 ↗ -
24 Aug 2026
Multi-Resolution Enhancement Improves Full-Spectrum Neural Representations
The problem is closely related to what researchers call spectral bias. During training, many neural networks tend to learn slowly changing patterns ...
bioengineer.org ↗ -
18 Aug 2026
Cerebellum-inspired neural network of supervised learning with tensor-based sparse coding ...
Under the Marr-Ito-Albus framework, the cerebellum performs supervised learning in Purkinje cells upon the unsupervised sparse representations ...
journals.plos.org ↗ -
12 Aug 2026
Training neural networks on mechanistic simulations improves scientific inference - Nature
Scientific modeling faces a tradeoff between the interpretability of mechanistic theory and the predictive power of machine learning.
www.nature.com ↗
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.