arXiv:2608.07056v1 Announce Type: new Abstract: A skill is a naturallanguage document that steers a frozen agent whose weights cannot be updated so any…
Author: script
ZIPBrain: Can EEG Foundation Models Be Faster, Locally Deployable, but Accurate?
arXiv:2608.07033v1 Announce Type: new Abstract: This work investigates whether Electroencephalograph (EEG) foundation models (EFMs) can be made faster and…
Edgify Raises $9M to Expand Edge AI Infrastructure for Physical Retail
London-based Edgify has raised $9 million in Series A+ funding to expand its edge artificial intelligence platform, bringing the company’s total funding…
Unsupervised Adaptation of PDE Foundation Models
arXiv:2608.07053v1 Announce Type: new Abstract: Pretrained partial differential equation (PDE) foundation models can generalize across different…
Hidden text in a PDF is enough to steal sensitive data through Atlassian’s AI agent Rovo
Security firm PromptArmor shows how hidden instructions in a PDF can hijack Atlassian’s AI agent Rovo, silently forwarding sensitive data from Jira and…
PTQ4SNN: Membrane-Aware Post-Training Quantization for Spiking Neural Networks
arXiv:2608.07066v1 Announce Type: new Abstract: Spiking neural networks (SNNs) enable sparse and event-driven computation, but their low-bit deployment…
AI News Brief Hourly Summary 2026-08-10 11h : 11 posts
11 posts were published in the last hour 8:32 : ReQuant: Fixed-Grid Discrete Refinement for Post-Training Quantization 8:32 : Finding Usable Weight Mechanisms with Tiled SVD 8:32 : FedLBW: A Loss-Based Weighting Strategy for Federated Learning on Non-IID Data in…
ReQuant: Fixed-Grid Discrete Refinement for Post-Training Quantization
arXiv:2608.07019v1 Announce Type: new Abstract: Post-training quantization (PTQ) is widely used to reduce the memory and computational cost of large…
Finding Usable Weight Mechanisms with Tiled SVD
arXiv:2608.06969v1 Announce Type: new Abstract: The dominant approach to mechanistic interpretability trains proxy dictionaries such as sparse…
FedLBW: A Loss-Based Weighting Strategy for Federated Learning on Non-IID Data in Wireless Networks
arXiv:2608.07007v1 Announce Type: new Abstract: Federated Learning (FL) enables collaborative machine learning (ML) across distributed clients while…