Search: “agents”

RL-STPA: Adapting System-Theoretic Hazard Analysis for Safety-Critical Reinforcement Learning

arXiv:2604.15201v1 Announce Type: new Abstract: As reinforcement learning (RL) deployments expand into safety-critical domains, existing evaluation methods fail to systematically identify hazards aris

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Scouting By Reward: VLM-TO-IRL-Driven Player Selection For Esports

DGX agent

arXiv:2604.14474v1 Announce Type: new Abstract: Traditional esports scouting workflows rely heavily on manual video review and aggregate performance metrics, which often fail to capture the nuanced de

safetyarxiv-cs-lg

17 Apr 2026

Separation is Optimal for LQR under Intermittent Feedback

arXiv:2603.27833v2 Announce Type: cross Abstract: In this work, we first prove that the separation principle holds for communication-constrained LQR problems under i.i.d. zero-mean disturbances with a

Sixth-Sense: Self-Supervised Learning of Spatial Awareness of Humans from a Planar Lidar

arXiv:2502.21029v2 Announce Type: replace-cross Abstract: Reliable localization of people is fundamental for service and social robots that must operate in close interaction with humans. State-of-the-

local-aiarxiv-cs-lg

StoryCoder: Narrative Reformulation for Structured Reasoning in LLM Code Generation

arXiv:2604.14631v1 Announce Type: new Abstract: Effective code generation requires both model capability and a problem representation that carefully structures how models reason and plan. Existing app

safetyarxiv-cs-cl

The Cost of Language: Centroid Erasure Exposes and Exploits Modal Competition in Multimodal Language Models

arXiv:2604.14363v1 Announce Type: new Abstract: Multimodal language models systematically underperform on visual perception tasks, yet the structure underlying this failure remains poorly understood.

local-aiarxiv-cs-cl

TOPCELL: Topology Optimization of Standard Cell via LLMs

arXiv:2604.14237v1 Announce Type: new Abstract: Transistor topology optimization is a critical step in standard cell design, directly dictating diffusion sharing efficiency and downstream routability.

Trajectory Planning for a Multi-UAV Rigid-Payload Cascaded Transportation System Based on Enhanced Tube-RRT*

arXiv:2604.15074v1 Announce Type: new Abstract: This paper presents a two-stage trajectory planning framework for a multi-UAV rigid-payload cascaded transportation system, aiming to address planning c

Unsupervised Skeleton-Based Action Segmentation via Hierarchical Spatiotemporal Vector Quantization

arXiv:2604.15196v1 Announce Type: new Abstract: We propose a novel hierarchical spatiotemporal vector quantization framework for unsupervised skeleton-based temporal action segmentation. We first intr

safetyarxiv-cs-cv

V-Reflection: Transforming MLLMs from Passive Observers to Active Interrogators

arXiv:2604.03307v2 Announce Type: replace Abstract: Multimodal Large Language Models (MLLMs) have achieved remarkable success, yet they remain prone to perception-related hallucinations in fine-graine

local-aiarxiv-cs-cv

Tools

Vercel Flags is now generally available

Vercel Flags has reached general availability, enabling developers to implement feature flags and manage application behavior without requiring new deployments. This capability allows teams to control

toolsvercel-blog

Tutorials

Vultr CEO J.J. Kardwell Talks AI Capacity Shortage, How to Fix It, and How Demand is Changing: HumanX 2026

Vultr CEO J.J. Kardwell discusses the current shortage of AI computing capacity, potential solutions to address infrastructure constraints, and how customer demand patterns for AI services are evolvin

tutorialsvultr

What is pgvector?

pgvector is an open-source PostgreSQL extension that enables efficient storage and similarity search of vector embeddings within a relational database. It allows developers to build vector search capa

industrydatabricks

6/ Give Claude a way to verify its work Finally, make sure Claude has a way to verify its work. This has always been a way to 2-3x what you …

model-releasesboris-cherny--x

6/ Give Claude a way to verify its work Finally, make sure Claude has a way to verify its work. This has always been a way to 2-3x what you get out of Claude, and with 4.7 it's more important than eve

Tools

[AINews] RIP Pull Requests (2005-2026)

This article likely discusses the declining relevance or end of pull requests as a software development practice, potentially due to AI-driven code generation and review tools that have made tradition

toolslatent-space

Hardware

Automatic Charge State Tuning of 300 mm FDSOI Quantum Dots Using Neural Network Segmentation of Charge Stability Diagram

arXiv:2604.13662v1 Announce Type: cross Abstract: Tuning of gate-defined semiconductor quantum dots (QDs) is a major bottleneck for scaling spin qubit technologies. We present a deep learning (DL) dri

hardwarearxiv-cs-cv

Been having fun with local AI stuff. I don't really like the big models and now that some of them want your ID I'm not sure I'll even stick …

Been having fun with local AI stuff. I don't really like the big models and now that some of them want your ID I'm not sure I'll even stick around to care that much. Local shit is really powerful now,

local-ainous-research--x

Big Tech companies say a $90B data center buildout in Spain's Aragón, one of Europe's fastest-growing hubs, should be an EU model, as local residents push back (Clara Hernanz Lizarraga/Bloomberg)

Clara Hernanz Lizarraga / Bloomberg: Big Tech companies say a $90B data center buildout in Spain's Aragón, one of Europe's fastest-growing hubs, should be an EU model, as local residents push back — B

local-aitechmeme

Capability-Aware Heterogeneous Control Barrier Functions for Decentralized Multi-Robot Safe Navigation

arXiv:2604.13245v1 Announce Type: new Abstract: Safe navigation for multi-robot systems requires enforcing safety without sacrificing task efficiency under decentralized decision-making. Existing dece

CodeFlowBench: A Multi-turn, Iterative Benchmark for Complex Code Generation

model-releasesarxiv-cs-cl

arXiv:2504.21751v4 Announce Type: replace-cross Abstract: Modern software development demands code that is maintainable, testable, and scalable by organizing the implementation into modular components

Tutorials

Codex can learn from experience and proactively suggest things it can do for you. It now has an in-app browser, many new plugins, and so muc…

Codex has been enhanced with new capabilities including the ability to learn from user experience and proactively offer suggestions, an integrated in-app browser, and multiple new plugins to expand it

tutorialssam-altman--x

Tutorials

Codex for (almost) everything. It can now use apps on your Mac, connect to more of your tools, create images, learn from previous actions, r…

Codex for (almost) everything. It can now use apps on your Mac, connect to more of your tools, create images, learn from previous actions, remember how you like to work, and take on ongoing and repeat

tutorialsopenai--x

Drowsiness-Aware Adaptive Autonomous Braking System based on Deep Reinforcement Learning for Enhanced Road Safety

model-releasesarxiv-cs-lg

arXiv:2604.13878v1 Announce Type: new Abstract: Driver drowsiness significantly impairs the ability to accurately judge safe braking distances and is estimated to contribute to 10%-20% of road acciden

DuploCloud lands compliance and AI governance certifications as enterprise buyers tighten scrutiny

DevOps automation company DuploCloud Inc. today announced that it has completed its SOC 2 Type II audit and achieved ISO/IEC 42001 certification. A SOC 2 Type II examination evaluates the design and o

Failure Identification in Imitation Learning Via Statistical and Semantic Filtering

arXiv:2604.13788v1 Announce Type: cross Abstract: Imitation learning (IL) policies in robotics deliver strong performance in controlled settings but remain brittle in real-world deployments: rare even

safetyarxiv-cs-cv

Foresight Optimization for Strategic Reasoning in Large Language Models

arXiv:2604.13592v1 Announce Type: new Abstract: Reasoning capabilities in large language models (LLMs) have generally advanced significantly. However, it is still challenging for existing reasoning-ba

safetyarxiv-cs-cl

GLM-5.1 Tool Calling Issue Fix & Chat Template Update If you are running GLM-5.1 with vLLM/SGLang and using tool calling, please update your…

model-releaseszhipu-ai--x

GLM-5.1 Tool Calling Issue Fix & Chat Template Update If you are running GLM-5.1 with vLLM/SGLang and using tool calling, please update your chat template. http://huggingface.co/zai-org/GLM-5.1/blob/m

Jump-Start Reinforcement Learning with Vision-Language-Action Regularization

arXiv:2604.13733v1 Announce Type: new Abstract: Reinforcement learning (RL) enables high-frequency, closed-loop control for robotic manipulation, but scaling to long-horizon tasks with sparse or imper

LeRobot is the unsung hero of open robotics!

LeRobot is an open-source robotics framework or platform that aims to democratize access to robotics development and research. The post suggests it addresses gaps in the robotics field by providing ac

industryclem-delangue--x

MDPs with a State Sensing Cost

model-releasesarxiv-cs-lg

arXiv:2505.03280v3 Announce Type: replace Abstract: In many practical sequential decision-making problems, tracking the state of the environment incurs a sensing/communication/computation cost. In the

‘Nobody wants to be a news story,’ but bad data is making that a real risk factor for enterprise AI

Data quality is emerging as the critical gating factor separating enterprise AI projects that produce results from those that fizzle out. However, leadership pressure to move fast on AI is running int

Open Platform, Unified Pipelines: Why dbt on Databricks is Accelerating

This article discusses how dbt integration with Databricks enables unified data transformation pipelines by combining dbt's open-source transformation capabilities with Databricks' lakehouse platform.

industrydatabricks

PersonaVLM: Long-Term Personalized Multimodal LLMs

model-releasesarxiv-cs-cl

arXiv:2604.13074v1 Announce Type: new Abstract: Multimodal Large Language Models (MLLMs) serve as daily assistants for millions. However, their ability to generate responses aligned with individual pr

Reducing Hallucinations in LLMs via Factuality-Aware Preference Learning

arXiv:2601.03027v3 Announce Type: replace Abstract: Preference alignment methods such as RLHF and Direct Preference Optimization (DPO) improve instruction following, but they can also reinforce halluc

safetyarxiv-cs-cl

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers

arXiv:2509.07464v2 Announce Type: replace Abstract: Autonomous vehicles must navigate dynamically uncertain environments while balancing safety and efficiency. This challenge is exacerbated by unpredi

See&Say: Vision Language Guided Safe Zone Detection for Autonomous Package Delivery Drones

arXiv:2604.13292v1 Announce Type: new Abstract: Autonomous drone delivery systems are rapidly advancing, but ensuring safe and reliable package drop-offs remains highly challenging in cluttered urban

safetyarxiv-cs-cv

The enterprises currently winning at AI built the data foundation everyone else skipped

Most enterprises have committed budget to AI, but few have built the data infrastructure needed to turn that spending into scalable AI outcomes. The problem is less about model capability than it is a

this is the dataset btw: https://huggingface.co/datasets/badlogicgames/pi-mono

The pi-mono dataset, hosted on Hugging Face by badlogicgames, is a machine learning dataset likely containing monophonic audio or single-channel data related to pi (π) mathematical constants or Pi-rel

industryclem-delangue--x

Unleashing Implicit Rewards: Prefix-Value Learning for Distribution-Level Optimization

arXiv:2604.13197v1 Announce Type: new Abstract: Process reward models (PRMs) provide fine-grained reward signals along the reasoning process, but training reliable PRMs often requires step annotations

local-aiarxiv-cs-cl

We comprehensively benchmarked Opus 4.7 on document understanding. We evaluated it through ParseBench - our comprehensive OCR benchmark for …

model-releasesjerry-liu--x

We comprehensively benchmarked Opus 4.7 on document understanding. We evaluated it through ParseBench - our comprehensive OCR benchmark for enterprise documents where we evaluate tables, text, charts,

What to expect at SUSECON: Join theCUBE April 21

Open-source platforms are rapidly becoming the control layer for managing AI and Kubernetes at enterprise scale, reshaping how organizations operate distributed infrastructure. The industry has underg

WorkRB: A Community-Driven Evaluation Framework for AI in the Work Domain

model-releasesarxiv-cs-cl

arXiv:2604.13055v1 Announce Type: new Abstract: Today's evolving labor markets rely increasingly on recommender systems for hiring, talent management, and workforce analytics, with natural language pr

Active Imitation Learning for Thermal- and Kernel-Aware LFM Inference on 3D S-NUCA Many-Cores

arXiv:2604.11948v1 Announce Type: new Abstract: Large Foundation Model (LFM) inference is both memory- and compute-intensive, traditionally relying on GPUs. However, the limited availability and high

Artemis, which aims to replace rule-based cybersecurity systems with an AI-driven centralized 'brain', emerges from stealth with a $70M Series A led by Felicis (Sharon Goldman/Fortune)

Sharon Goldman / Fortune: Artemis, which aims to replace rule-based cybersecurity systems with an AI-driven centralized “brain”, emerges from stealth with a $70M Series A led by Felicis — Artemis, a n

industrytechmeme

BayMOTH: Bayesian optiMizatiOn with meTa-lookahead -- a simple approacH

arXiv:2604.12005v1 Announce Type: cross Abstract: Bayesian optimization (BO) has for sequential optimization of expensive black-box functions demonstrated practicality and effectiveness in many real-w

safetyarxiv-cs-ai

Benchmarking Deflection and Hallucination in Large Vision-Language Models

model-releasesarxiv-cs-ai

arXiv:2604.12033v1 Announce Type: cross Abstract: Large Vision-Language Models (LVLMs) increasingly rely on retrieval to answer knowledge-intensive multimodal questions. Existing benchmarks overlook c

BIND-USBL: Bounding IMU Navigation Drift using USBL in Heterogeneous ASV-AUV Teams

arXiv:2604.11861v1 Announce Type: new Abstract: Accurate and continuous localization of Autonomous Underwater Vehicles (AUVs) in GPS-denied environments is a persistent challenge in marine robotics. I

local-aiarxiv-cs-ro

Black-Box Optimization From Small Offline Datasets via Meta Learning with Synthetic Tasks

arXiv:2604.12325v1 Announce Type: cross Abstract: We consider the problem of offline black-box optimization, where the goal is to discover optimal designs (e.g., molecules or materials) from past expe

safetyarxiv-cs-ai