arXiv:2608.06690v1 Announce Type: cross Abstract: Most language-model access controls regulate behavior while leaving the same computation available to…
Tag: AI
Meta AI Releases Muse Glimmer: A 30B Open-Weights Agentic Model That Runs on One Consumer GPU
Meta’s Muse Glimmer is a 30B open-weights agentic model under Apache 2.0. It fits 24 GB VRAM and decodes 3.1x faster with DFlash speculation.
SoRoMoX: Fast, Differentiable, and Parallelizable Soft Robot Models
arXiv:2608.06650v1 Announce Type: cross Abstract: Reduced-order models based on Cosserat-rod theory are now well established, and modeling theory is no…
Newsom Orders AI Cyber Defense Program for California Critical Infrastructure
Governor Gavin Newsom on August 10, 2026 directed California’s state agencies to stand up what his office calls a first-in-the-nation AI Cyber Defense…
Characterizing the Quality Profile of AI-Generated C++ in Production
arXiv:2608.06640v1 Announce Type: cross Abstract: The widespread integration of AI coding assistants offers undeniable boosts to engineering velocity.…
Factorized Hypothesis Search for Evidence-to-Taxonomy Retrieval
arXiv:2608.06614v1 Announce Type: cross Abstract: Large-taxonomy retrieval often assumes that the input already expresses the target concept. In many…
Do 3D Medical Foundation Models See Through MRI Artifacts? A Controlled Study of Representation Robustness
arXiv:2608.06613v1 Announce Type: cross Abstract: Self-supervised 3D medical foundation models are increasingly used as general-purpose feature…
Cryptanalytic Extraction of Isolated Bias-Free GLU Feed-Forward Blocks by Antipodal Separation
arXiv:2608.06631v1 Announce Type: cross Abstract: Cryptanalytic extraction has been demonstrated for ReLU networks, for networks using componentwise…
Most Enterprise AI Isn’t Secure. Here’s What Businesses Can Do
Enterprises are racing to adopt generative artificial intelligence (AI) to stay competitive in their markets. However, security teams face a significant…
Bypassing Krum: Selection-Aware Backdoor Attacks in Federated Learning
arXiv:2608.06637v1 Announce Type: cross Abstract: Robust aggregation methods are widely used in federated learning to mitigate the impact of adversarial…