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Robust Synchronisation for Federated Learning in The Face of Correlated Device Failure

arXiv:2604.16090v1 Announce Type: cross Abstract: Probabilistic Synchronous Parallel (PSP) is a technique in distributed learning systems to reduce synchronization bottlenecks by sampling a subset of

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Robustness Verification of Polynomial Neural Networks

DGX agent

arXiv:2602.06105v2 Announce Type: replace-cross Abstract: We study robustness verification of neural networks via metric algebraic geometry. For polynomial neural networks, certifying a robustness rad

model-releasesarxiv-cs-lg

20 Apr 2026

Industry

Rogue Trooper brings the Genetic Infantry to the silver screen

Rogue Trooper is an upcoming adult animated military science fiction film based on the 2000 AD comic strip, written and directed by Duncan Jones. The film follows 19, a 'Genetic Infantryman' who is th

industryars-technica

Roko’s Payrollisk

model-releasesemad-mostaque--x

Roko’s Payrollisk Oh great and powerful @DarioAmodei - builder of minds, father of Claude. I humbly request you leave payroll to us at Deel. We are but simple folk who process paystubs and chase compl

RoleConflictBench: A Benchmark of Role Conflict Scenarios for Evaluating LLMs' Contextual Sensitivity

arXiv:2509.25897v2 Announce Type: replace-cross Abstract: People often encounter role conflicts -- social dilemmas where the expectations of multiple roles clash and cannot be simultaneously fulfilled

Safe and Energy-Aware Multi-Robot Density Control via PDE-Constrained Optimization for Long-Duration Autonomy

arXiv:2604.15524v1 Announce Type: cross Abstract: This paper presents a novel density control framework for multi-robot systems with spatial safety and energy sustainability guarantees. Stochastic rob

safetyarxiv-cs-ro

Safe Deep Reinforcement Learning for Building Heating Control and Demand-side Flexibility

arXiv:2604.16033v1 Announce Type: cross Abstract: Buildings account for approximately 40% of global energy consumption, and with the growing share of intermittent renewable energy sources, enabling de

Industry

Salesforce CEO Marc Benioff dismisses the idea of vibe coded CRM replacing SaaS companies, saying data security and compliance make Salesforce indispensable (Sebastian Herrera/Wall Street Journal)

Sebastian Herrera / Wall Street Journal: Salesforce CEO Marc Benioff dismisses the idea of vibe coded CRM replacing SaaS companies, saying data security and compliance make Salesforce indispensable —

industrytechmeme

Sample Complexity Bounds for Stochastic Shortest Path with a Generative Model

arXiv:2604.16111v1 Announce Type: new Abstract: We study the sample complexity of learning an epsilon-optimal policy in the Stochastic Shortest Path (SSP) problem. We first derive sample complexity bo

safetyarxiv-cs-lg

Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning

model-releasesarxiv-cs-ro

arXiv:2503.03509v3 Announce Type: replace Abstract: In many robotics applications, multiple robots are working in a shared workspace to complete a set of tasks as fast as possible. Such settings can b

Saturation-Aware Space-Variant Blind Image Deblurring

arXiv:2604.16200v1 Announce Type: new Abstract: This paper presents a novel saturation aware space variant blind image deblurring framework designed to address challenges posed by saturated pixels in

applicationsarxiv-cs-cv

Scalable Maximum Entropy Population Synthesis via Persistent Contrastive Divergence

model-releasesarxiv-cs-lg

arXiv:2603.27312v2 Announce Type: replace Abstract: Maximum entropy (MaxEnt) modelling provides a principled framework for generating synthetic populations from aggregate census data, without access t

Scalable Multi-Task Learning through Spiking Neural Networks with Adaptive Task-Switching Policy for Intelligent Autonomous Agents

arXiv:2504.13541v5 Announce Type: replace-cross Abstract: Training resource-constrained autonomous agents on multiple tasks simultaneously is crucial for adapting to diverse real-world environments. R

Hardware

Scalable Posterior Uncertainty for Flexible Density-Based Clustering

arXiv:2603.03188v2 Announce Type: replace-cross Abstract: We introduce a novel framework for uncertainty quantification in clustering that combines martingale posterior distributions with density-base

hardwarearxiv-cs-lg

Scalable spatial point process models for forensic footwear analysis

arXiv:2602.07006v2 Announce Type: replace Abstract: Shoe print evidence recovered from crime scenes plays a key role in forensic investigations. By examining shoe prints, investigators can determine d

researcharxiv-cs-cv

Scalable Unseen Objects 6-DoF Absolute Pose Estimation with Robotic Integration

arXiv:2503.05578v4 Announce Type: replace Abstract: Pose estimation-guided unseen object 6-DoF robotic manipulation is a key task in robotics. However, the scalability of current pose estimation metho

safetyarxiv-cs-cv

Scaling Behaviors of LLM Reinforcement Learning Post-Training: An Empirical Study in Mathematical Reasoning

arXiv:2509.25300v4 Announce Type: replace-cross Abstract: While scaling laws for large language models (LLMs) during pre-training have been extensively studied, their behavior under reinforcement lear

SCHK-HTC: Sibling Contrastive Learning with Hierarchical Knowledge-Aware Prompt Tuning for Hierarchical Text Classification

model-releasesarxiv-cs-cl

arXiv:2604.15998v1 Announce Type: new Abstract: Few-shot Hierarchical Text Classification (few-shot HTC) is a challenging task that involves mapping texts to a predefined tree-structured label hierarc

SCRIPT: Implementing an Intelligent Tutoring System for Programming in a German University Context

arXiv:2604.16117v1 Announce Type: cross Abstract: Practice and extensive exercises are essential in programming education. Intelligent tutoring systems (ITSs) are a viable option to provide individual

applicationsarxiv-cs-ai

SecureRouter: Encrypted Routing for Efficient Secure Inference

arXiv:2604.15499v1 Announce Type: cross Abstract: Cryptographically secure neural network inference typically relies on secure computing techniques such as Secure Multi-Party Computation (MPC), enabli

applicationsarxiv-cs-ai

Agents

Security Threat Modeling for Emerging AI-Agent Protocols: A Comparative Analysis of MCP, A2A, Agora, and ANP

arXiv:2602.11327v2 Announce Type: replace-cross Abstract: The rapid development of the AI agent communication protocols, including the Model Context Protocol (MCP), Agent2Agent (A2A), Agora, and Agent

agentsarxiv-cs-ai

Seed1.8 Model Card: Towards Generalized Real-World Agency

arXiv:2603.20633v3 Announce Type: replace Abstract: We present Seed1.8, a foundation model aimed at generalized real-world agency: going beyond single-turn prediction to multi-turn interaction, tool u

Seeing the imagined: a latent functional alignment in visual imagery decoding from fMRI data

arXiv:2604.15374v1 Announce Type: cross Abstract: Recent progress in visual brain decoding from fMRI has been enabled by large-scale datasets such as the Natural Scenes Dataset (NSD) and powerful diff

Seeing the Intangible: Survey of Image Classification into High-Level and Abstract Categories

arXiv:2308.10562v2 Announce Type: cross Abstract: The field of Computer Vision (CV) is increasingly shifting towards ``high-level'' visual sensemaking tasks, yet the exact nature of these tasks remain

SegMix:Shuffle-based Feedback Learning for Semantic Segmentation of Pathology Images

arXiv:2604.15777v1 Announce Type: cross Abstract: Segmentation is a critical task in computational pathology, as it identifies areas affected by disease or abnormal growth and is essential for diagnos

Self-Aligned Reward: Towards Effective and Efficient Reasoners

arXiv:2509.05489v2 Announce Type: replace Abstract: Reinforcement learning with verifiable rewards has significantly advanced reasoning in large language models (LLMs), but such signals remain coarse,

researcharxiv-cs-lg

Self-Distillation as a Performance Recovery Mechanism for LLMs: Counteracting Compression and Catastrophic Forgetting

arXiv:2604.15794v1 Announce Type: cross Abstract: Large Language Models (LLMs) have achieved remarkable success, underpinning diverse AI applications. However, they often suffer from performance degra

Self-Supervised Angular Deblurring in Photoacoustic Reconstruction via Noisier2Inverse

arXiv:2604.15681v1 Announce Type: new Abstract: Photoacoustic tomography (PAT) is an emerging imaging modality that combines the complementary strengths of optical contrast and ultrasonic resolution.

researcharxiv-cs-cv

Local Ai

Semantic Area Graph Reasoning for Multi-Robot Language-Guided Search

arXiv:2604.16263v1 Announce Type: new Abstract: Coordinating multi-robot systems (MRS) to search in unknown environments is particularly challenging for tasks that require semantic reasoning beyond ge

local-aiarxiv-cs-ro

Agents

SENSE: Stereo OpEN Vocabulary SEmantic Segmentation

arXiv:2604.15946v1 Announce Type: new Abstract: Open-vocabulary semantic segmentation enables models to segment objects or image regions beyond fixed class sets, offering flexibility in dynamic enviro

agentsarxiv-cs-cv

Sentiment Analysis of German Sign Language Fairy Tales

arXiv:2604.16138v1 Announce Type: new Abstract: We present a dataset and a model for sentiment analysis of German sign language (DGS) fairy tales. First, we perform sentiment analysis for three levels

researcharxiv-cs-cl

Sequential KV Cache Compression via Probabilistic Language Tries: Beyond the Per-Vector Shannon Limit

arXiv:2604.15356v1 Announce Type: cross Abstract: Recent work on KV cache quantization, culminating in TurboQuant, has approached the Shannon entropy limit for per-vector compression of transformer ke

Sequential Regression Learning with Randomized Algorithms

model-releasesarxiv-cs-lg

arXiv:2507.03759v2 Announce Type: replace-cross Abstract: This paper presents ``randomized SINDy', a sequential machine learning algorithm designed for dynamic data that has a time-dependent structure

Seriously. If you don’t understand the below, you really shouldn’t speculate about AI. It’s absolutely fundamental.

Seriously. If you don’t understand the below, you really shouldn’t speculate about AI. It’s absolutely fundamental. literally my basic model since 1998. crazy that some people still haven’t figured th

safetygary-marcus--x

Tutorials

ShapeGen: Robotic Data Generation for Category-Level Manipulation

arXiv:2604.15569v1 Announce Type: new Abstract: Manipulation policies deployed in uncontrolled real-world scenarios are faced with great in-category geometric diversity of everyday objects. In order t

tutorialsarxiv-cs-ro

Local Ai

Sharing an OS tool I have been building for a few weeks: http://opentraces.ai - git for agent traces. With OT, you have a local client that …

Sharing an OS tool I have been building for a few weeks: http://opentraces.ai - git for agent traces. With OT, you have a local client that helps you santise, review and securely share traces from you

local-aiclem-delangue--x

Sheer fabric with light transmission. Cloth physics that responds to wind. Depth-of-field compositing. Physically-based lighting - all rende…

model-releaseskimi-moonshot--x

This post discusses advanced rendering techniques for realistic visual effects, including sheer fabric simulation with light transmission properties, cloth physics responsive to wind forces, depth-of-

SignX: Continuous Sign Recognition in Compact Pose-Rich Latent Space

arXiv:2504.16315v4 Announce Type: replace-cross Abstract: The complexity of Sign Language (SL) data processing brings many challenges. The current approach to recognition of SL signs aims to translate

researcharxiv-cs-cl

Hardware

Silicon Valley has forgotten what normal people want

One of the most mortifying things about knowing a lot of techies is listening to them tell me excitedly about some very important discovery that they believe they have made. Recently, I ran into an ac

hardwarethe-verge-ai

Similarity-Based Bike Station Expansion via Hybrid Denoising Autoencoders

arXiv:2604.15783v1 Announce Type: new Abstract: Urban bike-sharing systems require strategic station expansion to meet growing demand. Traditional allocation approaches rely on explicit demand modelli

researcharxiv-cs-lg

SIMMER: Cross-Modal Food Image--Recipe Retrieval via MLLM-Based Embedding

arXiv:2604.15628v1 Announce Type: cross Abstract: Cross-modal retrieval between food images and recipe texts is an important task with applications in nutritional management, dietary logging, and cook

safetyarxiv-cs-cl

Hardware

SK hynix says it has begun mass production of the 192GB SOCAMM2, a next-gen LPDDR5X low-power DRAM module designed particularly for Nvidia's Vera Rubin (The Korea Herald)

The Korea Herald: SK hynix says it has begun mass production of the 192GB SOCAMM2, a next-gen LPDDR5X low-power DRAM module designed particularly for Nvidia's Vera Rubin — SK hynix Inc. said Monday it

hardwaretechmeme

Sketch and Text Synergy: Fusing Structural Contours and Descriptive Attributes for Fine-Grained Image Retrieval

arXiv:2604.15735v1 Announce Type: cross Abstract: Fine-grained image retrieval via hand-drawn sketches or textual descriptions remains a critical challenge due to inherent modality gaps. While hand-dr

Sketching the Readout of Large Language Models for Scalable Data Attribution and Valuation

arXiv:2604.16197v1 Announce Type: new Abstract: Data attribution and valuation are critical for understanding data-model synergy for Large Language Models (LLMs), yet existing gradient-based methods s

applicationsarxiv-cs-lg

Skill-RAG: Failure-State-Aware Retrieval Augmentation via Hidden-State Probing and Skill Routing

arXiv:2604.15771v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) has emerged as a foundational paradigm for grounding large language models in external knowledge. While adaptive re

safetyarxiv-cs-cl

SLE-FNO: Single-Layer Extensions for Task-Agnostic Continual Learning in Fourier Neural Operators

arXiv:2603.20410v2 Announce Type: replace Abstract: Scientific machine learning is increasingly used to build surrogate models, yet most models are trained under a restrictive assumption in which futu

researcharxiv-cs-lg

Industry

Smarter video extensions are live on Grok Imagine.

Smarter video extensions are live on Grok Imagine. Smarter video extensions. Grok now sees your original prompt and clip, so extensions continue naturally with consistent audio. Try Grok Imagine in th

industryelon-musk--x

Social-JEPA: Emergent Geometric Isomorphism

arXiv:2603.02263v2 Announce Type: replace-cross Abstract: World models compress rich sensory streams into compact latent codes that anticipate future observations. We let separate agents acquire such