Search: “models”

Obstacle Avoidance of UAV in Dynamic Environments Using Direction and Velocity-Adaptive Artificial Potential Field

arXiv:2512.07609v3 Announce Type: replace-cross Abstract: The conventional Artificial Potential Field (APF) is fundamentally limited by the local minima issue and its inability to account for the kine

local-aiarxiv-cs-ro

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Safety

On the Optimized Use of Non-Orthonormality Constraints for the Quasi-Static INS Alignment of Autonomous Underwater and Surface Vehicles

DGX agent

arXiv:2608.21390v1 Announce Type: new Abstract: Inertial navigation systems are specialized navigation apparatuses that equip almost all autonomous underwater and surface vehicles. They require precis

safetyarxiv-cs-ro

25 Aug 2026

Optimal Transport for Handwritten Text Recognition in a Low-Resource Regime

arXiv:2509.16977v2 Announce Type: replace Abstract: Handwritten Text Recognition (HTR) is a task of central importance in the field of document image understanding. State-of-the-art methods for HTR re

safetyarxiv-cs-cv

OptiSight: Bridging Semantic Reasoning and Geometric Control for Embodied Navigation

arXiv:2608.23354v1 Announce Type: cross Abstract: Autonomous indoor navigation requires both semantic understanding and precise geometric control. We propose OptiSight, a hybrid framework that combine

local-aiarxiv-cs-cv

PEAfowl: Perception-Enhanced Multi-View Vision-Language-Action for Bimanual Manipulation

arXiv:2601.17885v2 Announce Type: replace-cross Abstract: Bimanual manipulation in cluttered scenes requires policies that remain stable under occlusions, viewpoint changes and scene variations. Exist

local-aiarxiv-cs-ai

Personalized and Aspiration-Oriented Career Path Recommendation

arXiv:2608.22056v1 Announce Type: new Abstract: Fulfilling career aspirations is important for growth of employee and organization. We propose a data driven methodology to recommend personalized caree

safetyarxiv-cs-lg

Physical Agentic AI: An Architecture for Orchestrating a Robot Crew with LLMs

arXiv:2608.22657v1 Announce Type: cross Abstract: Agentic AI frameworks interpret open-ended task goals and decompose them into multi-step plans. Richer information about embodiment-specific capabilit

agentsarxiv-cs-ai

Portable Computer is available today for all Perplexity Pro and Max subscribers with an @NVIDIA DGX Spark. Get started: https://www.perplexi…

Perplexity AI announced on August 25 2026 the launch of a “Portable Computer” feature, available immediately to all Perplexity Pro and Max subscribers who are using NVIDIA’s DGX Spark hardware. The se

local-aiperplexity--x

Tutorials

Practical Principles for AI Cost and Compute Accounting

arXiv:2502.15873v5 Announce Type: replace Abstract: Policymakers increasingly use development cost and compute as proxies for AI capabilities and risks. Recent laws have introduced regulatory requirem

tutorialsarxiv-cs-ai

presto: Efficient, Training-free, and Open-world Object Placement via Imaginary Search

arXiv:2608.21543v1 Announce Type: cross Abstract: Object placement is critical in image composition, requiring spatially and semantically coherent positioning of objects within diverse scenes. Existin

Pretreatment DCE-MRI Resolves Response Quality Within Pathologic Endpoints in Neoadjuvant Breast Cancer

arXiv:2608.22097v1 Announce Type: cross Abstract: Pathologic complete response (pCR) is a strong neoadjuvant endpoint, yet 5-15% of complete responders recur and clinical/genomic variables do not reli

ProBel: Propaganda Detection with Techniques, Spans, and Explanations

arXiv:2608.22388v1 Announce Type: cross Abstract: Propaganda detection includes several related prediction levels, ranging from sentence-level decisions to technique classification and span identifica

Quantum-Inspired Hybrid Neural Networks for Neural Decoding: A Controlled Ablation Study of Learnable Quantum Sidecar Integration

arXiv:2608.22475v1 Announce Type: new Abstract: We study parameterized quantum circuits (PQCs) integrated as residual sidecar modules within a ResNet-50 backbone for 31-class neural population decodin

researcharxiv-cs-lg

ReCoG: Reciprocal Co-Evolution for Multimodal Graph Learning

arXiv:2608.22786v1 Announce Type: new Abstract: Multimodal graph learning requires jointly training over graph structure and heterogeneous node attributes, yet existing methods largely decouple these

researcharxiv-cs-lg

Resilient Concurrent Causal Discovery for Topological Event Sequences

arXiv:2608.21815v1 Announce Type: new Abstract: Causal discovery on topological event sequences is crucial for ensuring the reliability of networks. However, existing methods struggle to capture the c

applicationsarxiv-cs-lg

RoboShape: Information-Theoretic Point Cloud Representations for Privacy-Aware Robot Perception

arXiv:2608.21380v1 Announce Type: cross Abstract: With the increased adoption of robotic agents operating in human environments by scanning and sharing 3D representations (e.g., for fleet learning, cl

applicationsarxiv-cs-ai

Robust Multi-Agent Reinforcement Learning for Small UAS Separation Assurance under GPS Degradation and Spoofing

arXiv:2603.28900v2 Announce Type: replace-cross Abstract: We address robust separation assurance for small Unmanned Aircraft Systems (sUAS) under GPS degradation and spoofing via Multi-Agent Reinforce

RobustGS: Unified Boosting of Feedforward 3D Gaussian Splatting under Low-Quality Conditions

arXiv:2508.03077v2 Announce Type: replace Abstract: Feedforward 3D Gaussian Splatting (3DGS) overcomes the limitations of optimization-based 3DGS by enabling fast and high-quality reconstruction witho

applicationsarxiv-cs-cv

Robustness Analysis of Agentic AI to Inconsistent and Incomplete Tool Responses

arXiv:2608.22676v1 Announce Type: new Abstract: Robustness to a bad tool return means answering it in the way that return calls for, which depends on how the tool went wrong. A tool that has failed an

RPL: Learning Robust Humanoid Perceptive Locomotion on Challenging Terrains

arXiv:2602.03002v2 Announce Type: replace Abstract: Humanoid perceptive locomotion has made significant progress and shows great promise, yet achieving robust multi-directional locomotion on complex t

safetyarxiv-cs-ro

SAEM: Stage-Aware Expert Management for Memory-Efficient MoE Inference in Chain-of-Thought Reasoning

arXiv:2608.21614v1 Announce Type: new Abstract: Chain-of-thought (CoT) prompting improves LLM reasoning by decomposing complex problems into intermediate steps, but its sequential nature increases dec

local-aiarxiv-cs-ai

Semantic Substrate Dynamics Theory: An Operator-Theoretic Framework for Geometric Semantic Drift

arXiv:2602.18699v2 Announce Type: replace-cross Abstract: Studies of semantic drift report heterogeneous signals, including embedding displacement, neighbor change, distributional divergence, and recu

local-aiarxiv-cs-ai

Shaping the Evolutionary Dynamics of Robot Morphology via Adaptive Control Learning

arXiv:2608.23100v1 Announce Type: cross Abstract: Robot co-design via bi-level optimization couples within-lifetime controller learning for fitness evaluation with cross-generational morphological evo

Hardware

Since announcing Jalapeño, our first custom inference chip, we’ve been testing it and the system around it. The results show a major advance…

Since announcing Jalapeño, our first custom inference chip, we’ve been testing it and the system around it. The results show a major advance: more intelligence from every watt and faster responses, de

hardwareopenai--x

SkillAlchemy: Open-World Agent Skill Creation

arXiv:2608.23417v1 Announce Type: new Abstract: Agent skills are reusable procedural artifacts that extend language agents with specialized workflows, tool conventions, and domain behaviors at inferen

agentsarxiv-cs-ai

Software Frameworks for Explainable AI in Time Series Classification: A Systematic Review

arXiv:2608.21449v1 Announce Type: new Abstract: Time series arise in a wide range of application domains and are analyzed using machine learning in decision-critical settings. Time series classificati

Industry

Sources: Anthropic is likely to tell IPO investors that its potential revenue opportunities are above 30T, topping SpaceX's 28.5T; Uber predicted $6T in 2019 (Corrie Driebusch/Wall Street Journal)

Corrie Driebusch / Wall Street Journal: Sources: Anthropic is likely to tell IPO investors that its potential revenue opportunities are above 30T, topping SpaceX's 28.5T; Uber predicted $6T in 2019 —

industrytechmeme

Sparse Additive Off-Policy Evaluation for Reinforcement Learning with Potentially Limited Number of Trajectories

arXiv:2608.22595v1 Announce Type: cross Abstract: We develop a new framework for flexible, nonlinear, and interpretable off-policy evaluation for infinite-horizon reinforcement learning. To handle lar

safetyarxiv-cs-lg

Spectral partitioning for k-block averaging kernels of finite Markov chains

arXiv:2608.21466v1 Announce Type: cross Abstract: We develop spectral algorithms for selecting state-space partitions that define averaging kernels for finite, ergodic and reversible Markov chains. Fo

researcharxiv-cs-lg

Spectral Pre-Filtering for Context-Adaptive Sensor Fusion: A Four-Role FFT-GDCB Integration for High-Stakes Decision Systems

arXiv:2608.22023v1 Announce Type: new Abstract: Context-adaptive Kalman filters calibrate their noise covariance matrices Q and R from innovation residuals via online regression. When the underlying s

agentsarxiv-cs-lg

Spine-Branch Coordination for Multi-agent Computer Use

arXiv:2608.22077v1 Announce Type: new Abstract: Computer use agents (CUAs) are increasingly deployed as multi-agent systems that decompose a task into multiple subtasks executed across parallel virtua

agentsarxiv-cs-cl

Spinning Quadrotor: Hover Thrust Augmentation with Passive Lifting Surfaces

arXiv:2608.23163v1 Announce Type: new Abstract: Conventional multirotor aerial vehicles actively suppress yaw rotation during hover, expending power to maintain a fixed heading despite the fact that y

researcharxiv-cs-ro

StereoDiff: Stereo-Diffusion Synergy for Video Depth Estimation

arXiv:2506.20756v4 Announce Type: replace Abstract: Recent video depth estimation methods achieve great performance by following the paradigm of image depth estimation, i.e., typically fine-tuning pre

applicationsarxiv-cs-cv

SVD-Based Typicality Maps for Out-of-Distribution Detection in Vision Transformers

arXiv:2608.23499v1 Announce Type: new Abstract: We present a method for analyzing the internal representations of Vision Transformers (ViTs) exploiting the geometry of their learned parameters. Each a

safetyarxiv-cs-cv

TailSieve: Partial-Rollout-Guided Tail Routing for LLM Rollouts

arXiv:2608.22788v1 Announce Type: new Abstract: Large-scale rollouts have become a core component of modern LLM systems, spanning reinforcement learning (RL) post-training, on-policy distillation (OPD

The Laws of Context Allocation: Causal Measurement and Closed-Loop Orchestration in Generative Search

arXiv:2608.23252v1 Announce Type: cross Abstract: As Retrieval-Augmented Generation (RAG) shifts toward diverse portfolio generation, it is stymied by two critical bottlenecks: flawed measurement of e

applicationsarxiv-cs-cl

Hardware

TherMapNet Attention-Guided Runtime Full-Chip Thermal Map Prediction from Performance Metrics

arXiv:2608.21887v1 Announce Type: cross Abstract: Runtime thermal management of high-performance chips depends on fast and accurate full-chip thermal maps. Conventional simulators typically estimate p

hardwarearxiv-cs-lg

Three-Phase Scribble-Adaptive Curriculum Learning for autoPETV Grand Challenge

arXiv:2608.22096v1 Announce Type: new Abstract: This report describes Libo Zhang's algorithmic solution to autoPETV Grand Challenge on interactive lesion segmentation in whole-body PET/CT. Interaction

Today we’re launching Portable Computer on @NVIDIA DGX Spark. Portable Computer is a fully local version of Perplexity Computer, where the e…

Today we’re launching Portable Computer on @NVIDIA DGX Spark. Portable Computer is a fully local version of Perplexity Computer, where the entire runtime: orchestrator LLM, subagent LLM, agent harness

local-aiperplexity--x

Token/s down 50% after upgrade

Upgraded ollama from .32.6 to .32.15 ran a test on my qwen3:30b and it went from 90+ t/s down to 45+t/s System has 4 and v620 pro and one rtx3090 Before it was only using the amd, now it's using all 5

local-air-ollama

TONAV: Task-Oriented Navigation and Action-Velocity Chunk Learning for Articulated Object Quadrupedal Mobile Manipulation

arXiv:2608.22296v1 Announce Type: cross Abstract: Quadruped mobile manipulation requires two tightly coupled capabilities: reaching manipulation-ready configurations and maintaining stable contact thr

applicationsarxiv-cs-cv

Training a Knowledge Base: Supervised Structure Learning for Agent-Curated Document Stores

arXiv:2608.21829v1 Announce Type: cross Abstract: Retrieval-augmented generation treats the document store as a frozen input, and the systems that instead let an agent curate one never measure what cu

agentsarxiv-cs-ai

Vehicle speed dataset for the major European road network derived from Sentinel-2 imagery, 2022-2026

arXiv:2608.22116v1 Announce Type: new Abstract: The dataset provides individual vehicle speed observations on European E-roads: motorways, trunk roads, primary and secondary roads, as tagged in OpenSt

VersaDB: A High-Performance AI Storage Database for Unifying Mutimodal Datasets

arXiv:2608.22795v1 Announce Type: new Abstract: The AI field has been rapidly developing, leading to the emergence of a large number of AI training datasets of various types. These datasets contain di

VikPath: A Vision Kansformer Framework for Effective Obstacle Avoidance in Self-Supervised Pathfinding

arXiv:2608.22675v1 Announce Type: new Abstract: Pathfinding is a fundamental problem in artificial intelligence and autonomous systems. Traditional heuristic-based algorithms, such as A*, rely on pred

agentsarxiv-cs-ro

VisAdj: Learning Adjacency Matrices from Node-Link Images

arXiv:2608.21825v1 Announce Type: new Abstract: Learning adjacency matrices from node-link images is a fundamental problem for recovering structured graph information from visual observations. Existin

VSAL: A Vision Solver with Adaptive Layouts for Graph Property Detection

arXiv:2602.13880v2 Announce Type: replace Abstract: Graph property detection aims to determine whether a graph exhibits certain structural properties, such as being Hamiltonian. Recently, learning-bas

What Does Activation Steering Control? Attribution Across Answer Encodings and Output-Sensitive Subspaces

arXiv:2608.22985v1 Announce Type: new Abstract: Activation steering is often evaluated under the answer encoding used to construct the direction. A reported gain may reflect the intended judgment or c

researcharxiv-cs-cl