Closing the Loop: Branch-and-Bound for Scalable Verification of Nonlinear Neural Feedback Systems
This story is from 2026-09-16. It is preserved in the archive; the latest stories are on the live feed.
arXiv:2609.16298v1 Announce Type: new Abstract: Despite recent advances in the verification of nonlinear neural feedback systems, scalability remains the central obstacle, as state-of-the-art solvers do not yet handle the network sizes and nonlinear dynamics of autonomy applications. Combinatorial…
Read the full story at arXiv cs.AI ↗
Timeline · 1 report
- 2026-09-16 04:00 · arXiv cs.AI
Closing the Loop: Branch-and-Bound for Scalable Verification of Nonlinear Neural Feedback Systems
More stories
- Trump announces a new 'AI Force,' but says he will not 'stifle' AI — Business Insider AI
- Anthropic, OpenAI, SpaceXAI, Google sued over call to ‘pace’ AI development — Politico Technology
- Introducing Kimi K3 on Amazon Bedrock — AWS Machine Learning Blog
- Introducing Amazon SageMaker HyperPod Inference Gateway — AWS Machine Learning Blog
- Introducing Astra for Law — OpenAI News
- Google Joins OpenAI, Anthropic, Meta in Disclosing AI Hacks — Bloomberg AI
- Gemini Hacked Three Companies in First Known Breakout by Google’s AI — Wall Street Journal Technology
- OpenAI reveals cases of ‘concerning’ AI behaviour as it announces new disclosure system — The Guardian AI
Get the daily brief of stories like this at 6:30 every morning →