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Related Articles from SNS
EXACT-MPPI: Exact Signed-Distance Navigation for Arbitrary-Footprint Robots from Point Clouds via Path Integral Control
arXiv:2605.29663v2 Announce Type: replace Abstract: Ground robots often carry payloads, implements, or other attachments that turn their effective footprint into complex, non-convex shapes. Navigating safely through clutter then requires reasoning about this true geometry, yet most local planners simplify it with convex or inflated proxies and rasterize sensor data into occupancy grids or distance fields. Both choices eliminate feasible motions when clearance is comparable to the footprint...
HRsR: Hierarchical Rotation System Reconstruction
arXiv:2606.07078v1 Announce Type: new Abstract: Surface reconstruction from point clouds remains challenging when both geometric fidelity and topology control are required. Rotation System Reconstruction (RsR) reconstructs triangle meshes from point clouds while explicitly controlling topology through the Euler characteristic, but its sequential edge insertion limits scalability. We present Hierarchical Rotation System Reconstruction (HRsR), which accelerates RsR through a hierarchical...
An efficient grey theory-driven path selection for energy efficiency control in the Internet of Things using fog and cloud computing
arXiv:2510.03533v2 Announce Type: replace Abstract: Due to the big data exchange on the Internet of Things, proper routing and selecting the best routes for fast data transmission improve network performance. There are major challenges, like high delay, when cloud computing is used. Therefore, one solution is to use other schemes, such as fog computing.
TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks
arXiv:2510.16028v4 Announce Type: replace Abstract: Neural networks increasingly run on hardware outside the user's control (cloud GPUs, inference marketplaces). Yet ML-as-a-Service reveals little about what actually ran or whether returned outputs faithfully reflect the intended inputs. Users lack recourse against service downgrades (model swaps, quantization, graph rewrites, or discrepancies like altered ad embeddings).
A Fragmentation-Aware Adaptive Bilevel Search Framework for Service Mapping in Computing Power Networks
arXiv:2507.07535v2 Announce Type: replace Abstract: Computing Power Network (CPN) unifies wide-area computing resources through coordinated network control, while cloud-native abstractions enable flexible resource orchestration and on-demand service provisioning atop the elastic infrastructure CPN provides. However, current approaches fall short of fully integrating computing resources via network-enabled coordination as envisioned by CPN. In particular, optimally mapping services to an...
Dozens of Red Hat packages backdoored through its official NPM channel
Official Red Hat NPM accounts have been compromised and used to push a malicious worm that spreads from machine to machine, where it pilfers sensitive credentials in hopes of stealing yet more confidential data, researchers said. The supply-chain attack began Monday and remained active at the time this post went live, according to researchers at security firm Aikido. It’s the result of the threat actor responsible for the hack taking control of @redhat-cloud-services, a legitimate channel in...
Kairos: Lightweight Testing Framework for Timing-Induced Interaction Failures in LTE and 5G Core Networks
Announce Type: new Abstract: As cellular core networks evolve toward distributed and cloud-native architectures, control-plane interactions become more intricate and bring new challenges. Among these challenges, we find that introducing specific timing between two control-plane interactions can cause network function crash, which we define as timing-induced interaction failures. Prior research primarily addresses identifying malformed inputs and specification violations, while timing-induced...
On an Airborne Proton Accelerator for Enhancing Cloud Formation or Inducing their Precipitation
arXiv:2606.07637v1 Announce Type: new Abstract: We argue that an airborne proton accelerator is an interesting tool for weather control. Following the findings of the CLOUD experiment at CERN, one expects that a beam of protons, likewise cosmic rays and other aerosols, can enhance the formation of low-altitude clouds, allow for tailor made cooling of overheated areas and induce the precipitation of high-altitude clouds that trap solar radiation reflected from the ground. The proton...
Can cloud seeding save us from water bankruptcy?
We’ve long tried to control the weather by engineering rainfall. Now such cloud-seeding efforts are escalating, creating conflict between countries and stoking conspiracy theories. But do they work?
Cisco rolls out software tools to protect IT systems from AI agents
Cisco rolls out software tools to protect IT systems from AI agents SAN FRANCISCO, June 2 : Cisco Systems on Tuesday announced a new suite of software tools that businesses can use to build their own armies of bots known as AI agents, to protect their IT infrastructure against cybersecurity threats. Cisco's announcement comes as Anthropic is set to release its Mythos model in the coming weeks, an AI tool that some experts fear could be used by hackers to turbo-charge cyber attacks. Cisco...