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arXiv:2512.03370v3 Announce Type: replace Abstract: We introduce ShelfGaussian, an open-vocabulary multi-modal Gaussian-based 3D scene understanding framework supervised by off-the-shelf vision founda

tutorialsarxiv-cs-cv

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Shenzhen-listed server PCB maker Victory Giant plans an April 21 Hong Kong listing, aiming to raise as much as 2.2B; the company was valued at 37B on April 10 (Bloomberg)

DGX agent

Bloomberg: Shenzhen-listed server PCB maker Victory Giant plans an April 21 Hong Kong listing, aiming to raise as much as 2.2B; the company was valued at 37B on April 10 — Victory Giant Technology Hui

industrytechmeme

13 Apr 2026

SHIFT: Steering Hidden Intermediates in Flow Transformers

arXiv:2604.09213v1 Announce Type: new Abstract: Diffusion models have become leading approaches for high-fidelity image generation. Recent DiT-based diffusion models, in particular, achieve strong pro

safetyarxiv-cs-cv

SIC3D: Style Image Conditioned Text-to-3D Gaussian Splatting Generation

arXiv:2604.08760v1 Announce Type: new Abstract: Recent progress in text-to-3D object generation enables the synthesis of detailed geometry from text input by leveraging 2D diffusion models and differe

Silhouette Loss: Differentiable Global Structure Learning for Deep Representations

arXiv:2604.08573v1 Announce Type: cross Abstract: Learning discriminative representations is a central goal of supervised deep learning. While cross-entropy (CE) remains the dominant objective for cla

researcharxiv-cs-ai

Sim-to-Real Transfer for Muscle-Actuated Robots via Generalized Actuator Networks

arXiv:2604.09487v1 Announce Type: cross Abstract: Tendon drives paired with soft muscle actuation enable faster and safer robots while potentially accelerating skill acquisition. Still, these systems

safetyarxiv-cs-lg

SiMing-Bench: Evaluating Procedural Correctness from Continuous Interactions in Clinical Skill Videos

model-releasesarxiv-cs-cl

arXiv:2604.09037v1 Announce Type: cross Abstract: Current video benchmarks for multimodal large language models (MLLMs) focus on event recognition, temporal ordering, and long-context recall, but over

SimScale: Learning to Drive via Real-World Simulation at Scale

model-releasesarxiv-cs-cv

arXiv:2511.23369v3 Announce Type: replace Abstract: Achieving fully autonomous driving systems requires learning rational decisions in a wide span of scenarios, including safety-critical and out-of-di

Simulation of Adaptive Running with Flexible Sports Prosthesis using Reinforcement Learning of Hybrid-link System

arXiv:2604.08882v1 Announce Type: new Abstract: This study proposes a reinforcement learning-based adaptive running motion simulation for a unilateral transtibial amputee with the flexibility of a lea

researcharxiv-cs-ro

Six months ago, there was a lot of focus on the idea that the there would be a massive glut of unused computing power which would could a re…

applicationsethan-mollick--x

Six months ago, there was a lot of focus on the idea that the there would be a massive glut of unused computing power which would could a recession as AI use plateaued. The 'compute bubble' belief was

Skill-Conditioned Visual Geolocation for Vision-Language

model-releasesarxiv-cs-ai

arXiv:2604.09025v1 Announce Type: cross Abstract: Vision-language models (VLMs) have shown a promising ability in image geolocation, but they still lack structured geographic reasoning and the capacit

Tutorials

SkillFactory: Self-Distillation For Learning Cognitive Behaviors

arXiv:2512.04072v2 Announce Type: replace-cross Abstract: Reasoning models leveraging long chains of thought employ various cognitive skills, such as verification of their answers, backtracking, retry

tutorialsarxiv-cs-ai

Agents

SkillForge: Forging Domain-Specific, Self-Evolving Agent Skills in Cloud Technical Support

arXiv:2604.08618v1 Announce Type: cross Abstract: Deploying LLM-powered agents in enterprise scenarios such as cloud technical support demands high-quality, domain-specific skills. However, existing s

agentsarxiv-cs-ai

Agents

SkillMOO: Multi-Objective Optimization of Agent Skills for Software Engineering

arXiv:2604.09297v1 Announce Type: cross Abstract: Agent skills provide modular, task-specific guidance for LLM- based coding agents, but manually tuning skill bundles to balance success rate, cost, an

agentsarxiv-cs-ai

Skip-Connected Policy Optimization for Implicit Advantage

model-releasesarxiv-cs-cl

arXiv:2604.08690v1 Announce Type: cross Abstract: Group Relative Policy Optimization (GRPO) has proven effective in RLVR by using outcome-based rewards. While fine-grained dense rewards can theoretica

Slate Auto raises $650 million as production gets closer and closer

Electric pickup startup Slate Auto recently announced it raised $650 million in a funding round as it nears production of its Slate Truck. The vehicle, scheduled for late 2

applicationsars-technica

Smartwatch-Based Sitting Time Estimation in Real-World Office Settings

arXiv:2604.08808v1 Announce Type: new Abstract: Sedentary behavior poses a major public health risk, being strongly linked to obesity, cardiovascular disease, and other chronic conditions. Accurately

applicationsarxiv-cs-lg

So the concern over Mythos and cybersecurity seems warranted.

model-releasesethan-mollick--x

So the concern over Mythos and cybersecurity seems warranted. We conducted cyber evaluations of Claude Mythos Preview and found that it is the first model to complete an AISI cyber range end-to-end. 🧵

Soft Electroadhesive Feet for Micro Aerial Robots Perching on Smooth and Curved Surfaces

arXiv:2604.09270v1 Announce Type: new Abstract: Electroadhesion (EA) provides electrically switchable adhesion and is a promising mechanism for perching micro aerial robots on smooth surfaces. However

researcharxiv-cs-ro

Sources: Anthropic largely left European regulators out of the loop as it limited Mythos' release to select companies and organizations; the UK AISI tested it (Politico)

Politico: Sources: Anthropic largely left European regulators out of the loop as it limited Mythos' release to select companies and organizations; the UK AISI tested it — BRUSSELS — Regulators in Euro

industrytechmeme

Sources: data labeling startup Handshake's gross annualized revenue hit ~1B, vs. 550M in January; Mercor hit a $1B+ gross annualized revenue pace this year (The Information)

The Information: Sources: data labeling startup Handshake's gross annualized revenue hit ~1B, vs. 550M in January; Mercor hit a $1B+ gross annualized revenue pace this year — AI firms' voracious appet

industrytechmeme

Sources: Meta is building photorealistic, AI-powered 3D characters; Mark Zuckerberg helped train and test an AI version of himself that offers feedback to staff (Financial Times)

Financial Times: Sources: Meta is building photorealistic, AI-powered 3D characters; Mark Zuckerberg helped train and test an AI version of himself that offers feedback to staff — Meta is building an

industrytechmeme

Sources: SoftBank, Sony, Honda, and six other Japanese companies launch a new AI company to develop a 1T-parameter foundation model for 'physical AI' by 2030 (Natsuki Yamamoto/Nikkei Asia)

Natsuki Yamamoto / Nikkei Asia: Sources: SoftBank, Sony, Honda, and six other Japanese companies launch a new AI company to develop a 1T-parameter foundation model for “physical AI” by 2030 — TOKYO —

model-releasestechmeme

South Africa’s ANC government is pushing even more racist rules that help only black people and shut out everyone else: • They’re giving R50…

South Africa’s ANC government is pushing even more racist rules that help only black people and shut out everyone else: • They’re giving R50 billion (from a big foreign loan) to a new “Transformation

SPASM: Stable Persona-driven Agent Simulation for Multi-turn Dialogue Generation

model-releasesarxiv-cs-cl

arXiv:2604.09212v1 Announce Type: new Abstract: Large language models are increasingly deployed in multi-turn settings such as tutoring, support, and counseling, where reliability depends on preservin

SPEAR: An Engineering Case Study of Multi-Agent Coordination for Smart Contract Auditing

arXiv:2602.04418v3 Announce Type: replace-cross Abstract: We present SPEAR, a multi-agent coordination framework for smart contract auditing that applies established MAS patterns in a realistic securi

Spectral Geometry of LoRA Adapters Encodes Training Objective and Predicts Harmful Compliance

model-releasesarxiv-cs-lg

arXiv:2604.08844v1 Announce Type: new Abstract: We study whether low-rank spectral summaries of LoRA weight deltas can identify which fine-tuning objective was applied to a language model, and whether

Spectral-Transport Stability and Benign Overfitting in Interpolating Learning

model-releasesarxiv-cs-lg

arXiv:2604.08625v1 Announce Type: cross Abstract: We develop a theoretical framework for generalization in the interpolating regime of statistical learning. The central question is why highly overpara

SPP-SBL: Space-Power Prior Sparse Bayesian Learning for Block Sparse Recovery

model-releasesarxiv-cs-lg

arXiv:2505.08518v2 Announce Type: replace-cross Abstract: The recovery of block-sparse signals with unknown structural patterns remains a fundamental challenge in structured sparse signal reconstructi

SPPO: Sequence-Level PPO for Long-Horizon Reasoning Tasks

arXiv:2604.08865v1 Announce Type: new Abstract: Proximal Policy Optimization (PPO) is central to aligning Large Language Models (LLMs) in reasoning tasks with verifiable rewards. However, standard tok

SSPO: Subsentence-level Policy Optimization

arXiv:2511.04256v2 Announce Type: replace Abstract: As a key component of large language model (LLM) post-training, Reinforcement Learning from Verifiable Rewards (RLVR) has substantially improved rea

safetyarxiv-cs-cl

Stability Enhanced Gaussian Process Variational Autoencoders

arXiv:2604.09331v1 Announce Type: new Abstract: A novel stability-enhanced Gaussian process variational autoencoder (SEGP-VAE) is proposed for indirectly training a low-dimensional linear time invaria

applicationsarxiv-cs-lg

Starlink is a gamechanger

Starlink is a gamechanger NEWS: UK carrier Virgin Atlantic has brought forward its plans to equip its aircraft with @Starlink Wi-Fi. The original plan was to install Starlink in Q3 of this year, but t

Starlink Mini enables reliable high-speed internet on the go 🛰️🛣️

Starlink Mini is a compact, portable version of SpaceX's Starlink satellite internet hardware designed for mobile and on-the-go connectivity. It offers high-speed internet access in a smaller, more tr

Starlink provides global high-speed, low-latency Internet

Starlink provides global high-speed, low-latency Internet Starlink is becoming the most important nervous system of our planet With Starlink, you basically end all dead zones and have full, reliable c

StaRPO: Stability-Augmented Reinforcement Policy Optimization

arXiv:2604.08905v1 Announce Type: new Abstract: Reinforcement learning (RL) is effective in enhancing the accuracy of large language models in complex reasoning tasks. Existing RL policy optimization

State Space Models are Effective Sign Language Learners: Exploiting Phonological Compositionality for Vocabulary-Scale Recognition

arXiv:2604.08761v1 Announce Type: new Abstract: Sign language recognition suffers from catastrophic scaling failure: models achieving high accuracy on small vocabularies collapse at realistic sizes. E

Local Ai

Statistical Properties of the King Wen Sequence: An Anti-Habituation Structure That Does Not Improve Neural Network Training

arXiv:2604.09234v1 Announce Type: cross Abstract: The King Wen sequence of the I-Ching (c. 1000 BC) orders 64 hexagrams -- states of a six-dimensional binary space -- in a pattern that has puzzled sch

local-aiarxiv-cs-ai

STCast: Adaptive Boundary Alignment for Global and Regional Weather Forecasting

arXiv:2509.25210v3 Announce Type: replace-cross Abstract: To gain finer regional forecasts, many works have explored the regional integration from the global atmosphere, e.g., by solving boundary equa

STIndex: A Context-Aware Multi-Dimensional Spatiotemporal Information Extraction System

model-releasesarxiv-cs-ai

arXiv:2604.08597v1 Announce Type: cross Abstract: Extracting structured knowledge from unstructured data still faces practical limitations: entity and event extraction pipelines remain brittle, knowle

Stochastic-Dimension Frozen Sampled Neural Network for High-Dimensional Gross-Pitaevskii Equations on Unbounded Domains

arXiv:2604.09361v1 Announce Type: new Abstract: In this paper, we propose a stochastic-dimension frozen sampled neural network (SD-FSNN) for solving a class of high-dimensional Gross-Pitaevskii equati

researcharxiv-cs-lg

Stories from space

This Reddit post from r/ChatGPT, titled 'Stories from space,' likely showcases AI-generated creative writing or storytelling with a space or astronomy theme, possibly produced using ChatGPT. It may fe

industryr-chatgpt

Agents

Strategic Algorithmic Monoculture:Experimental Evidence from Coordination Games

arXiv:2604.09502v1 Announce Type: new Abstract: AI agents increasingly operate in multi-agent environments where outcomes depend on coordination. We distinguish primary algorithmic monoculture -- base

agentsarxiv-cs-ai

Streaming Video Instruction Tuning

arXiv:2512.21334v2 Announce Type: replace Abstract: We present Streamo, a real-time streaming video LLM that serves as a general-purpose interactive assistant. Unlike existing online video models that

StreamMeCo: Long-Term Agent Memory Compression for Efficient Streaming Video Understanding

model-releasesarxiv-cs-cv

arXiv:2604.09000v1 Announce Type: new Abstract: Vision agent memory has shown remarkable effectiveness in streaming video understanding. However, storing such memory for videos incurs substantial memo

Strips as Tokens: Artist Mesh Generation with Native UV Segmentation

arXiv:2604.09132v1 Announce Type: new Abstract: Recent advancements in autoregressive transformers have demonstrated remarkable potential for generating artist-quality meshes. However, the token order

StructRL: Recovering Dynamic Programming Structure from Learning Dynamics in Distributional Reinforcement Learning

arXiv:2604.08620v1 Announce Type: cross Abstract: Reinforcement learning is typically treated as a uniform, data-driven optimization process, where updates are guided by rewards and temporal-differenc

Structural Evaluation Metrics for SVG Generation via Leave-One-Out Analysis

arXiv:2604.08809v1 Announce Type: new Abstract: Scalable Vector Graphics (SVG) represent visual content as structured, editable code. Each element (path, shape, or text node) can be individually inspe

researcharxiv-cs-lg