1. 13 Sep 2026

    AI Is Transforming Medical Imaging: FDA Approvals, Smarter Scans and the Next Era of Radiology

    ... deep-learning CT image-reconstruction technology. The company says the system uses a dedicated deep neural network to enhance spatial resolution ...

    www.sphericalinsights.com ↗
  2. 13 Sep 2026

    Anthropic Proposes 4 Ways To Ensure Democratic Oversight Of AI Progress

    Their hands-on experience implementing neural networks and deep learning ... Deep Tech · Emerging Technology · High Performance Computing · Machine ...

    quantumzeitgeist.com ↗
  3. 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 ↗
  4. 13 Sep 2026

    KAIST Develops AI That Reads Brain Waves to Correct Its Own Errors

    KAIST developed neural value alignment, a brain-computer interface that lets AI read users' brain waves and correct its own actions in real time.

    en.sedaily.com ↗
  5. 12 Sep 2026

    Specialized and effective neural architecture search for differentially private stochastic ... - Nature

    Differential privacy (DP) provides rigorous protection against information leakage in deep learning, yet it can substantially compromise model ...

    www.nature.com ↗
  6. 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 ↗
  7. 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 ↗
  8. 10 Sep 2026

    Representational learning by optimization of neural manifolds in an olfactory memory network

    To explore how learning modifies representational manifolds we measured population activity in pDp after training juvenile or adult zebrafish in an ...

    www.nature.com ↗
  9. 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 ↗
  10. 03 Sep 2026

    PCIPG: A comprehensive framework for protein complex identification based ... - Research journals

    Third, representation-learning or matrix-factorization-based methods ... Inductive representation learning on large graphs. Adv Neural Inform ...

    journals.plos.org ↗
  11. 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 ↗
  12. 26 Aug 2026

    Manifold-constrained plasticity enables stable learning in recurrent neural circuits

    However, experimental and modeling studies increasingly report representational drift in both null and coding dimensions, challenging the idea that ...

    journals.plos.org ↗
  13. 25 Aug 2026

    Manifold-constrained plasticity enables stable learning in recurrent neural circuits

    ... learning despite representational drift. Author summary. Neural activity in the brain can often be described by a small number of coordinated ...

    journals.plos.org ↗
  14. 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 ↗
  15. 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 ↗
  16. 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 ↗
  17. 15 Aug 2026

    Kindling in neural systems: progressive adversarial sensitization during LLM alignment ... - Nature

    ... RLHF. Sensitisation was tracked with 150 adversarial prompts stratified by strength, with 50 strong, 50 medium, and 50 weak prompts. Outcome ...

    www.nature.com ↗
  18. 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 ↗
  19. 10 Aug 2026

    AI Safety Beyond Black Box: Vatsal Soin's Pre-Execution 0→1 Doctrine is for Singularity Era

    Mechanistic interpretability maps neural pathways, attempting to trace which internal features correspond to which behaviors. Alignment training ...

    mediahindustan.com ↗
Sources

Where this comes from

Artificial Intelligence — Google

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

401 items Polled 22 Sep, 03:06 UTC 200

Agentic AI — Google

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

401 items Polled 22 Sep, 03:06 UTC 200

AI Agents — Google

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

401 items Polled 22 Sep, 03:06 UTC 200

Data Science — Google

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

401 items Polled 22 Sep, 03:06 UTC 200

Large Language Model — Google

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

401 items Polled 22 Sep, 03:06 UTC 200

Machine Learning — Google

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

401 items Polled 22 Sep, 03:06 UTC 200

Deep Learning — Google

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

401 items Polled 22 Sep, 03:06 UTC 200

LLMs Alignment — Google

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

45 items Polled 22 Sep, 03:06 UTC 200

AI Alignment — Google

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

401 items Polled 22 Sep, 03:06 UTC 200

Representation Learning — Google

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

145 items Polled 22 Sep, 03:06 UTC 200

Reinforcement Learning — Google

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

401 items Polled 22 Sep, 03:06 UTC 200

Generative AI — Google

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

401 items Polled 22 Sep, 03:06 UTC 200

Multimodal AI — Google

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

401 items Polled 22 Sep, 03:06 UTC 200

Mechanistic Interpretability — Google

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

33 items Polled 22 Sep, 03:06 UTC 200

RLHF — Google

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

27 items Polled 22 Sep, 03:06 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.