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Embedded Graph Convolutional Networks for Real-Time Event Data Processing on SoC FPGAs

Announce Type: replace Abstract: The utilisation of event cameras represents an important and swiftly evolving trend aimed at addressing the constraints of traditional video systems. Particularly within the automotive domain, these cameras find significant relevance for their integration into embedded real-time systems due to lower latency and power consumption. One effective approach to ensure the necessary throughput and latency for event processing is through the utilisation of graph...

arXiv CS 1d ago

NLLog: Lightweight, Explainable SOC Anomaly Detection via Log-to-Language Rewriting

new Abstract: System-generated logs underpin security monitoring, yet their rigid template-based format hinders both automated analysis and human comprehension. We present NLLog (Natural-Language Log), a lightweight pipeline that deterministically rewrites parsed templates into WHO-WHAT-SEVERITY sentences, pools them with term-frequency-inverse-document-frequency weighting, classifies sessions with tree ensembles, and back-projects evidence with TreeSHAP for analyst review. On Hadoop...

arXiv CS 6d ago

Self-Optimizing Control of Continuous Processes Based on Reinforcement Learning

new Abstract: This paper addresses the Self-Optimizing Control (SOC) problem in industrial continuous processes and proposes a Reinforcement-Learning (RL)-based SOC approach to improve dynamic performance under high-frequency disturbances. In the proposed framework, the SOC controlled variable structure is embedded in the Actor network, and reward functions are designed based on economic indicators. Through interaction with the environment, the RL agent optimizes controlled variables while...

arXiv CS 6d ago

Radxa Dragon Q8B: A Laptop Cosplaying as an SBC?

The Radxa Q6A was Radxa’s first Qualcomm-based SBC release last year, and even though we’re still deep in the midst of RAMageddon, Radxa are announcing the Dragon Q8B today, the very same day you’re reading this. Even I don’t know how I’ve managed that in 2026. At its core, a Qualcomm Snapdragon 8cx Gen 3 SoC running at 3GHz provides the horsepower, and provide it does.

Hacker News 8d ago

CADENCE: Predicting Realized MAPF Execution Time Beyond Sum of Costs

arXiv:2606.04746v1 Announce Type: new Abstract: Multi-Agent Path Finding (MAPF) algorithms are increasingly used to plan motion for robot teams in industrial warehouses and robotic shared workspaces, but standard MAPF algorithm evaluation metrics, such as Sum of Costs (SoC), makespan, and planner runtime, can obscure how planner choices translate into realistic execution performance. We present CADENCE (Coordination and Action-Driven Estimation for Networked Continuous Execution), a hardware...

arXiv CS 6d ago

Scheduling Analysis of UAV Flight Control Workloads on PREEMPT_RT Linux Using a Raspberry Pi 5

arXiv:2604.19275v2 Announce Type: replace Abstract: Modern UAV architectures increasingly aim to unify high-level autonomy and low-level flight control on a single General-Purpose Operating System (GPOS). However, complex multi-core System-on-Chips (SoCs) introduce significant timing indeterminism due to shared resource contention. This paper performs an architectural analysis of the PREEMPT RT Linux kernel on a Raspberry Pi 5, specifically isolating the impact of kernel activation paths...

arXiv CS 7d ago

BIDENT: Heterogeneous Operator-level Mapping for Efficient Edge Inference

Announce Type: new Abstract: Modern edge System-on-Chips (SoCs) integrate heterogeneous processing units (PUs) such as CPUs, GPUs, and NPUs, yet current inference stacks map entire models to a single PU, leaving significant performance and energy efficiency on the table. This is exacerbated by emerging architectures such as state-space models (SSMs), Kolmogorov-Arnold networks (KANs), and multi-stage vision-language-action (VLA) pipelines, whose diverse operator characteristics are not...

arXiv CS 5d ago

NVIDIA's RTX Spark is an AI "superchip" that will power Windows laptops and desktops

NVIDIA's RTX Spark is an AI "superchip" that will power Windows laptops and desktops The company claims it offers 1 petaflop of AI computing power. It was only a matter of time before NVIDIA released a powerful system-on-a-chip (SOC) to take on AMD's Ryzen AI Max and Qualcomm's latest Snapdragon X2 chips. At Computex today, NVIDIA unveiled the RTX Spark, a "superchip" meant to give both laptops and small desktops fast AI and graphics performance.

Engadget 9d ago

An Organization-Scoped LLM Agent Runtime Architecture for Regulated Cybersecurity Operations

Announce Type: new Abstract: Regulated cybersecurity workflows lack a runtime substrate that enforces organization-level scope across retrieval, tool calls, memory, findings, reports, and audit while remaining model-agnostic and locally deployable. Recent large language model (LLM) agent systems report strong results on isolated cybersecurity tasks, yet they do not by themselves define an auditable platform architecture for regulated security operations centre (SOC) and compliance workflows,...

arXiv CS 9d ago

Flicker-DDPM: Accelerating Denoising Diffusion via 1/f Colored Noise Injection

arXiv:2606.03393v1 Announce Type: new Abstract: We propose a novel diffusion model, Flicker-DDPM, which incorporates flicker (1/f) noise inspired by self-organized criticality (SOC), a widely observed phenomenon in natural systems. Unlike denoising diffusion probabilistic models (DDPMs), which employ isotropic white noise in the forward process, Flicker-DDPM adopts colored noise with power-law spectra to better match the spectral statistics of natural images, whose power spectra typically...

arXiv CS 7d ago