All entries

ServiceNow bids to become the control tower for enterprise AI

ServiceNow Inc. today unveiled a broad expansion of its artificial intelligence platform, stressing governance, security and autonomous execution as foundational requirements for enterprise AI adoptio

agentssiliconangle

SF20K Competition 2025: Summary and findings

DGX agent

arXiv:2605.01496v1 Announce Type: new Abstract: This report presents the results and findings of the first edition of the Short-Films 20K (SF20K) Competition, held in conjunction with the SLoMO Worksh

model-releasesarxiv-cs-cv

5 May 2026

Shadow-Loom: Causal Reasoning over Graphical World Model of Narratives

model-releasesarxiv-cs-cl

arXiv:2605.02475v1 Announce Type: cross Abstract: Stories hold a reader's attention because they have causes, secrets, and consequences. Shadow-Loom is an experimental open-source framework that turns

ShapeGrasp: Simultaneous Visuo-Haptic Shape Completion and Grasping for Improved Robot Manipulation

arXiv:2605.02347v1 Announce Type: new Abstract: Humans grasp unfamiliar objects by combining an initial visual estimate with tactile and proprioceptive feedback during interaction. We present ShapeGra

applicationsarxiv-cs-ro

Shared Autonomy Assisted by Impedance-Driven Anisotropic Guidance Field

arXiv:2605.02410v1 Announce Type: new Abstract: Shared autonomy (SA) enables robots to infer human intent and assist in its achievement. While most research focuses on improving intent inference, it o

researcharxiv-cs-ro

SHARP: Spectrum-aware Highly-dynamic Adaptation for Resolution Promotion in Remote Sensing Synthesis

arXiv:2603.21783v2 Announce Type: replace Abstract: Text-to-image generation powered by Diffusion Transformers (DiTs) has made remarkable strides, yet remote sensing (RS) synthesis lags behind due to

Sharpness-Aware Pretraining Mitigates Catastrophic Forgetting

model-releasesarxiv-cs-cl

arXiv:2605.02105v1 Announce Type: cross Abstract: Pretraining optimizers are tuned to produce the strongest possible base model, on the assumption that a stronger starting point yields a stronger mode

ShiftLIF: Efficient Multi-Level Spiking Neurons with Power-of-Two Quantization

arXiv:2605.01866v1 Announce Type: cross Abstract: Spiking neural networks (SNNs) are promising for edge sensing due to their event-driven computation and temporal filtering capability. However, standa

Shopify reports Q1 revenue up 34% YoY to 3.2B, above est., GMV up 34% YoY to 100B, and forecasts weaker Q2 revenue growth; SHOP falls 11%+ pre-market (Ignacio Gonzalez/Bloomberg)

Ignacio Gonzalez / Bloomberg: Shopify reports Q1 revenue up 34% YoY to 3.2B, above est., GMV up 34% YoY to 100B, and forecasts weaker Q2 revenue growth; SHOP falls 11%+ pre-market — Shopify Inc. share

Short window attention enables long-term memorization

arXiv:2509.24552v3 Announce Type: replace Abstract: Recent works show that hybrid architectures combining local sliding window attention layers and global attention layers outperform either of these a

SIAM: Head and Brain MRI Segmentation from Few High-Quality Templates via Synthetic Training

arXiv:2605.02737v1 Announce Type: new Abstract: Synthetic training has recently advanced brain MRI segmentation by enabling contrast-agnostic models trained entirely on generated data. However, most e

SIFT-VTON: Geometric Correspondence Supervision on Cross-Attention for Virtual Try-On

arXiv:2605.01296v1 Announce Type: new Abstract: Diffusion-based virtual try-on methods achieve photorealistic synthesis through cross-attention mechanisms that transfer garment features to target body

safetyarxiv-cs-cv

SignMAE: Segmentation-Driven Self-Supervised Learning for Sign Language Recognition

arXiv:2605.02094v1 Announce Type: new Abstract: Subtle hand differences make sign language recognition challenging, yet many existing methods rely on encoders pretrained on generic action datasets tha

SignVerse-2M: A Two-Million-Clip Pose-Native Universe of 25+ Sign Languages

arXiv:2605.01720v1 Announce Type: cross Abstract: Existing large-scale sign language resources typically provide supervision only at the level of raw video-text alignment and are often produced in lab

safetyarxiv-cs-cl

Silicon Showdown: Performance, Efficiency, and Ecosystem Barriers in Consumer-Grade LLM Inference

model-releasesarxiv-cs-ai

arXiv:2605.00519v2 Announce Type: cross Abstract: The operational landscape of local Large Language Model (LLM) inference has shifted from lightweight models to datacenter-class weights exceeding 70B

Hardware

Silicon Valley bets $200M on AI data centers floating in the ocean

Panthalassa, a US startup, is developing floating data centers powered by ocean waves and cooled by seawater to address AI infrastructure's growing energy demands. Peter Thiel led a $140 million inves

hardwarears-technica

Sim-to-Real Transfer and Robustness Evaluation of Reinforcement Learning Control with Integrated Perception on an ASV for Floating Waste Capture

arXiv:2605.02529v1 Announce Type: new Abstract: Autonomous surface vessels for floating-waste removal operate under varying hydrodynamics, external disturbances, and challenging water-surface percepti

agentsarxiv-cs-ro

SimPB++: Simultaneously Detecting 2D and 3D Objects from Multiple Cameras

arXiv:2605.01924v1 Announce Type: new Abstract: Simultaneous perception of 2D objects in perspective view and 3D objects in Bird's Eye View (BEV) is challenging for multi-camera autonomous driving. Ex

agentsarxiv-cs-cv

Single Image Defogging Using a Fourth-Order Telegraph PDE Guided by Physical Haze Modeling

arXiv:2605.00878v1 Announce Type: new Abstract: In real-world scenarios, image defogging is an inverse problem due to unknown scene depth, atmospheric scattering, and the common absence of ground trut

Singular Bayesian Neural Networks

arXiv:2602.00387v3 Announce Type: replace-cross Abstract: Bayesian neural networks promise calibrated uncertainty but require O(mn) parameters for standard mean-field Gaussian posteriors. We argue thi

safetyarxiv-cs-lg

SiriusHelper: An LLM Agent-Based Operations Assistant for Big Data Platforms

arXiv:2605.00043v1 Announce Type: cross Abstract: Big data platforms are widely used in modern enterprises, and an in-production intelligent assistant is increasingly important to help users quickly f

agentsarxiv-cs-ai

SixthSense: Task-Agnostic Proprioception-Only Whole-Body Wrench Estimation for Humanoids

arXiv:2605.01427v1 Announce Type: new Abstract: Humanoid robots are entering our physical world at scale, yet as oversized toys--good at singing and dancing, but short on force-interaction capabilitie

researcharxiv-cs-ro

Skeleton-Based Posture Classification to Promote Safer Walker-Assisted Gait in Older Adults

arXiv:2605.00890v1 Announce Type: new Abstract: Falls among older adults are a significant public health concern, leading to severe injuries, loss of independence, and increased healthcare costs. This

Skills as Verifiable Artifacts: A Trust Schema and a Biconditional Correctness Criterion for Human-in-the-Loop Agent Runtimes

arXiv:2605.00424v1 Announce Type: cross Abstract: Agent skills -- structured packages of instructions, scripts, and references that augment a large language model (LLM) without modifying the model its

safetyarxiv-cs-ai

// Skills as Verifiable Artifacts // Pay attention to this one, AI devs. If you ship agent skills, your runtime is treating signed-and-clear…

// Skills as Verifiable Artifacts // Pay attention to this one, AI devs. If you ship agent skills, your runtime is treating signed-and-cleared skills as trusted by default. This paper argues a skill i

agentsdair-ai--x

Skipping the Zeros in Diffusion Models for Sparse Data Generation

arXiv:2605.01817v1 Announce Type: new Abstract: Diffusion models (DMs) excel on dense continuous data, but are not designed for sparse continuous data. They do not model exact zeros that represent the

SlimDiffSR: Toward Lightweight and Efficient Remote Sensing Image Super-Resolution via Diffusion Model Distillation

arXiv:2605.02198v1 Announce Type: new Abstract: Diffusion models have recently achieved remarkable performance in image super-resolution (SR), but their high computational cost limits practical deploy

So let me make sure I’ve got this correct: >Google gives Anthropic cash to pay Google for compute. >anthropic gives compute away for a loss,…

So let me make sure I’ve got this correct: >Google gives Anthropic cash to pay Google for compute. >anthropic gives compute away for a loss, and this discounted compute draws in large user bases to ca

safetygary-marcus--x

so well explained ! this is like applying Richard Sutton’s Bitter Lesson to agent systems. leverage comes from feedback loops, not handcraft…

so well explained ! this is like applying Richard Sutton’s Bitter Lesson to agent systems. leverage comes from feedback loops, not handcrafted prompts. attaching feedback to traces is the missing piec

agentsharrison-chase--x

Social Bias in LLM-Generated Code: Benchmark and Mitigation

model-releasesarxiv-cs-ai

arXiv:2605.00382v2 Announce Type: cross Abstract: Large Language Models (LLMs) are increasingly deployed to generate code for human-centered applications where demographic fairness is critical. Howeve

Social Dynamics as Critical Vulnerabilities that Undermine Objective Decision-Making in LLM Collectives

arXiv:2604.06091v2 Announce Type: replace Abstract: Large language model (LLM) agents are increasingly acting as human delegates in multi-agent environments, where a representative agent integrates di

agentsarxiv-cs-cl

Some things never change. If you don’t understand this one, you don’t understand what’s happening AI. Marcus, 1998: neural nets have trouble…

model-releasesgary-marcus--x

Some things never change. If you don’t understand this one, you don’t understand what’s happening AI. Marcus, 1998: neural nets have trouble generalizing far beyond the data. Marcus, 2001, 2012, 2019,

Sonar-GPS Fusion for Seabed Mapping in Turbid Shallow Waters with an Autonomous Surface Vehicle

arXiv:2605.01949v1 Announce Type: cross Abstract: Accurate seabed mapping is essential for habitat monitoring and infrastructure inspection. In turbid, shallow coastal waters, such as shellfish aquacu

safetyarxiv-cs-cv

Sound Source Localization for Spatial Mapping of Surgical Actions in Dynamic Scenes

arXiv:2510.24332v3 Announce Type: replace-cross Abstract: Purpose: Surgical scene understanding is key to advancing computer-aided and intelligent surgical systems. Current approaches predominantly re

agentsarxiv-cs-cv

Source: Anthropic plans to spend about $200B on Google's cloud and chips over five years, representing 40%+ of the 'revenue backlog' Google disclosed last week (The Information)

The Information: Source: Anthropic plans to spend about $200B on Google's cloud and chips over five years, representing 40%+ of the “revenue backlog” Google disclosed last week — When Google last mont

Source: YC owns ~0.6% of OpenAI, which was seeded by a YC offshoot called YC Research in 2016; at OpenAI's current 852B valuation, the stake is worth 5B+ (John Gruber/Daring Fireball)

John Gruber / Daring Fireball: Source: YC owns ~0.6% of OpenAI, which was seeded by a YC offshoot called YC Research in 2016; at OpenAI's current 852B valuation, the stake is worth 5B+ — Speaking of c

Sources: Alphabet sold its biggest-ever euro-denominated bonds, raising €9B, and its first Canadian dollar notes, raising CA8.5B, months after raising 20B (Bloomberg)

Bloomberg: Sources: Alphabet sold its biggest-ever euro-denominated bonds, raising €9B, and its first Canadian dollar notes, raising CA8.5B, months after raising 20B — Alphabet Inc. needs to borrow he

Sources: Meta is building agentic tools, including an OpenClaw-like assistant powered by its new Muse Spark AI model to help users create AI bots (Hannah Murphy/Financial Times)

Hannah Murphy / Financial Times: Sources: Meta is building agentic tools, including an OpenClaw-like assistant powered by its new Muse Spark AI model to help users create AI bots — Social media platfo

agentstechmeme

Sources: Meta is building an OpenClaw-inspired agent internally called Hatch, to be powered by its Muse Spark model, and an agentic shopping tool in Instagram (Jyoti Mann/The Information)

Jyoti Mann / The Information: Sources: Meta is building an OpenClaw-inspired agent internally called Hatch, to be powered by its Muse Spark model, and an agentic shopping tool in Instagram — Meta Plat

agentstechmeme

Sources: the WH is mulling EOs to address security risks from advanced AI, including barring companies from 'interfering' with the government's use of models (Politico)

Politico: Sources: the WH is mulling EOs to address security risks from advanced AI, including barring companies from “interfering” with the government's use of models — A White House spokesperson sai

safetytechmeme

Tools

Sourcing screen: enter target criteria and get a screened company list, including why each company matches and what signals were used.

Perplexity offers a sourcing screen feature that allows users to input target criteria and receive a filtered list of companies matching those specifications. The tool provides transparency by explain

toolsperplexity--x

Space Network of Experts: Architecture and Expert Placement

arXiv:2605.00515v1 Announce Type: cross Abstract: Leveraging continuous solar energy harvesting at high efficiency, space data centers are envisioned as a promising platform for executing energy-inten

researcharxiv-cs-ai

Space-Time Forecasting of Dynamic Scenes with Motion-aware Gaussian Grouping

arXiv:2602.21668v2 Announce Type: replace Abstract: Forecasting dynamic scenes remains a fundamental challenge in computer vision, as limited observations make it difficult to capture coherent object-

SPAMoE: Spectrum-Aware Hybrid Operator Framework for Full-Waveform Inversion

arXiv:2604.07421v2 Announce Type: replace Abstract: Full-waveform inversion (FWI) is pivotal for reconstructing high-resolution subsurface velocity models but remains computationally intensive and ill

Sparse Regression under Correlation and Weak Signals: A Reproducible Benchmark of Classical and Bayesian Methods

model-releasesarxiv-cs-lg

arXiv:2605.00835v1 Announce Type: new Abstract: Choosing between classical and Bayesian sparse regression methods involves a real trade-off: penalized estimators like Lasso run in milliseconds but giv

Sparse Representation Learning for Vessels

arXiv:2605.01382v1 Announce Type: new Abstract: Analyzing human vasculature and vessel-like, tubular structures, such as airways, is crucial for disease diagnosis and treatment. Current methods often

SparseContrast: Dynamic Sparse Attention for Efficient and Accurate Contrastive Learning in Medical Imaging

arXiv:2605.00887v1 Announce Type: new Abstract: We propose SparseContrast, a new framework that merges dynamic sparse attention with contrastive learning for medical imaging, with a focus on chest X-r

SPAT: A Semantic Port-Aware Adaptive-Rate Transmission Protocol for Semantic Communication

arXiv:2605.00897v1 Announce Type: cross Abstract: With the evolution of 6G, semantic communication has emerged as a promising paradigm by prioritizing the delivery of task-relevant meaning over strict