AINewsnow

Gradient Descent with Stochastic Subspaces via Persistence of Memory

This story is from 2026-09-17. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.18416v1 Announce Type: cross Abstract: Stochastic subspace methods have gained popularity as gradient descent based techniques for large scale optimisation problems, especially in distributed settings. In this paper, we introduce the technique of "persistence of memory" to greatly extend…

Read the full story at arXiv stat.ML ↗

Timeline · 1 report

  1. 2026-09-17 04:00 · arXiv stat.ML
    Gradient Descent with Stochastic Subspaces via Persistence of Memory

More stories

  1. Google Joins OpenAI, Anthropic, Meta in Disclosing AI Hacks — Bloomberg AI
  2. Introducing Kimi K3 on Amazon Bedrock — AWS Machine Learning Blog
  3. Introducing Amazon SageMaker HyperPod Inference Gateway — AWS Machine Learning Blog
  4. Introducing Astra for Law — OpenAI News
  5. Newsom signs executive order to explore new AI rules, consider ‘kill switch’ — Politico Technology
  6. Anthropic, OpenAI, SpaceXAI, Google sued over call to ‘pace’ AI development — Politico Technology
  7. Sources: Anthropic considers releasing a new AI model to counter OpenAI's momentum since Astra's launch, ahead of an IPO and after Amodei's call for a slowdown (Reuters) — Techmeme
  8. Gemini Hacked Three Companies in First Known Breakout by Google’s AI — Wall Street Journal Technology

Get the daily brief of stories like this at 6:30 every morning →