All entries

SliceBridge: context-consistent repair of corrupted slice intervals in T1-weighted MRI

arXiv:2609.01827v1 Announce Type: new Abstract: Structural magnetic resonance imaging (MRI) images are sometimes corrupted over a contiguous set of slices, where acquisition, motion, hardware, or reco

local-aiarxiv-cs-cv

Human

Content type

All Blog X Post Paper YouTube Reddit GitHub

Clear filters

Tutorials

SlowFast-SCI: Slow-Fast Deep Unfolding Learning for Spectral Compressive Imaging

DGX agent

arXiv:2509.16509v3 Announce Type: replace Abstract: Humans learn in two complementary ways: a slow, cumulative process that builds broad, general knowledge, and a fast, on-the-fly process that capture

tutorialsarxiv-cs-cv

3 Sept 2026

Tutorials

SMart: A Multi-source Multi-phase Time Series Representation Transfer Framework

arXiv:2609.02203v1 Announce Type: cross Abstract: Time series representation learning (TSRL) has attracted growing research interests in recent years. Two recent explorations in TSRL are: i) exploitin

tutorialsarxiv-cs-ai

Smoothed Analysis for Learning Concepts with Low Intrinsic Dimension

arXiv:2407.00966v3 Announce Type: replace Abstract: In traditional models of supervised learning, the goal of a learner-- given examples from an arbitrary joint distribution on R^d imes {pm 1}-- is to

SocialBuddy: Tailoring Search Agent for Social Scenarios

arXiv:2609.01641v1 Announce Type: cross Abstract: In the era of digital social interaction, searching friends' posts from massive social streams has become a fundamental user need. However, while mode

SocialMaze: A Benchmark for Evaluating and Enhancing Social Reasoning in Large Language Models in Complex Social Environments

model-releasesarxiv-cs-cl

arXiv:2505.23713v2 Announce Type: replace Abstract: Large language models (LLMs) are increasingly deployed in socially grounded applications, where success requires interpreting context, inferring oth

SoK: Where Do Flow Labels Come From? Auditing Label Provenance in Encrypted Traffic Benchmarks

arXiv:2609.02140v1 Announce Type: cross Abstract: Encrypted traffic classification infers semantics beyond the flow record from transport-layer observables, and supervised training rests on labels tha

SolarWM: Open Data and Scalable Training for Long-Horizon Video World Models

arXiv:2609.02886v1 Announce Type: new Abstract: We introduce SolarWM, a fully open foundation for building interactive video world models from data preparation through long-horizon inference. Training

SonicCaps: Large-Scale Diverse and Fine-Grained Captioning for Improved Audio-Retrieval

arXiv:2609.02343v1 Announce Type: cross Abstract: Recent advances in audio-language modeling have been driven by large-scale audio captioning datasets. However, existing datasets remain limited by low

researcharxiv-cs-cl

Tools

sorry for the radio silence folks - got sucked into extreme LLM psychosis. but i can confidently say we have crossed over into a new age of …

sorry for the radio silence folks - got sucked into extreme LLM psychosis. but i can confidently say we have crossed over into a new age of AI Engineering and we are never, ever, looking back. this is

toolsswyx--x

Source Distribution Estimation by Posterior Averaging

arXiv:2609.02622v1 Announce Type: new Abstract: Simulation-based science often requires a distribution over simulator parameters whose push-forward reproduces a set of real observations: this is the s

Source-Free Class Relearning: Diagnosing Forgetting in Class Unlearning

arXiv:2609.02018v1 Announce Type: cross Abstract: Class unlearning aims to remove a model's ability to recognize designated forget classes while preserving performance on retain classes. However, low

Industry

Sources: Crusoe signed a ~$13B, five-year deal with Jane Street to provide GPUs and other infrastructure for AI training and inference via its cloud platform (Bloomberg)

Bloomberg: Sources: Crusoe signed a ~$13B, five-year deal with Jane Street to provide GPUs and other infrastructure for AI training and inference via its cloud platform — Crusoe, a data center upstart

industrytechmeme

Industry

Sources: Mira Murati's Thinking Machines Lab is in talks to raise 1B+ at a 40B+ pre-money valuation, lower than the $50B+ valuation it sought last year (The Information)

The Information: Sources: Mira Murati's Thinking Machines Lab is in talks to raise 1B+ at a 40B+ pre-money valuation, lower than the 50B+ valuation it sought last year — Thinking Machines Lab, the AI

industrytechmeme

Applications

Sources: Saudi AI company Humain is planning to raise an initial $2.5B fund to help finance data center capacity of 250 MW in Saudi Arabia (Omar El Chmouri/Bloomberg)

Omar El Chmouri / Bloomberg: Sources: Saudi AI company Humain is planning to raise an initial 2.5B fund to help finance data center capacity of 250 MW in Saudi Arabia — Artificial intelligence firm Hu

applicationstechmeme

SPADE: SPaT Attack Detection from the Connected Vehicle's Perspective

arXiv:2609.02741v1 Announce Type: cross Abstract: Signal Phase and Timing (SPaT) messages are a cornerstone of connected vehicle (CV) safety, enabling CVs to perceive and respond to intersection state

Sparks Fly: NVIDIA Accelerates Local AI at IFA 2026

Frontier intelligence is going local. At IFA 2026, NVIDIA, Microsoft and its partners are teaming up to provide faster inference and new tools that make agents easier to set up and run locally on NVID

local-ainvidia-blog

Sparse Readout Prism: Explaining Logit-Lens Scores in Features Instead of Tokens

arXiv:2609.01936v1 Announce Type: cross Abstract: A language model's prediction of its next token develops across layers, and lens methods track this process by decoding intermediate hidden states int

Spatially Aware World Action Model via Geometric Latent Diffusion

arXiv:2609.02531v1 Announce Type: new Abstract: World Action Models (WAMs) leverage the capabilities of large-scale pretrained video diffusion models to jointly predict future observations and actions

SpeakPay: Domain-Adaptive LoRA Fine-Tuning of Whisper for Low-Resource Nepali Financial Speech Recognition

model-releasesarxiv-cs-cl

arXiv:2609.01737v1 Announce Type: new Abstract: Mobile payment applications in Nepal are graphically mediated and largely inaccessible to visually impaired users. This paper presents SpeakPay, a voice

Agents

SpecMine: A Large-Scale Corpus of Spec-Driven Development Artifacts

arXiv:2608.25202v3 Announce Type: replace-cross Abstract: Spec-Driven Development (SDD) is a fast-emerging practice in which a structured natural-language specification, written by a developer, or (mo

agentsarxiv-cs-ai

Spectral Initialization and Scheduled Graph Smoothness for Uncertain Knowledge Graph Completion

arXiv:2609.02519v1 Announce Type: cross Abstract: Uncertain knowledge graphs (UKGs) extend knowledge graphs by assigning each triple a continuous confidence score. Since most possible triples lack obs

SpecXMaster Technical Report

arXiv:2603.23101v4 Announce Type: replace Abstract: Intelligent spectroscopy serves as a pivotal element in AI-driven closed-loop scientific discovery, functioning as the critical bridge between matte

safetyarxiv-cs-lg

SR-Edit: Region-Aware Image Editing via Self-Refinement

arXiv:2609.02504v1 Announce Type: new Abstract: With the recent rapid progress in generative models, image editing has made remarkable advances, yet achieving faithful edits that precisely modify only

SSAKG 2.0: An Open-Source Package for Structural Associative Sequence Memory and Context-Based Retrieval

arXiv:2609.01849v1 Announce Type: new Abstract: This article presents SSAKG 2.0, an open-source software package for constructing and operating Structural Sequential Associative Knowledge Graphs (SSAK

Stepwise Think-Critique: Interleaved Reasoning and Self-Critique in a Single LLM

arXiv:2512.15662v4 Announce Type: replace Abstract: Human beings solve complex problems through critical thinking, where reasoning and evaluation are intertwined to converge toward correct solutions.

Stereo 4D Radar for 3D Object Detection: Integrating Geometric Alignment and Absolute Velocity Estimation

arXiv:2609.02560v1 Announce Type: new Abstract: Four-dimensional (4D) Radar is a powerful sensing modality capable of detecting surrounding three-dimensional (3D) objects under diverse weather conditi

Stop typing @Ollama commands the old way. Ollama’s new interactive menu makes it easier to discover and launch models, agents, and coding to…

Stop typing @Ollama commands the old way. Ollama’s new interactive menu makes it easier to discover and launch models, agents, and coding tools—without memorizing exact tags or digging through shell h

local-aiollama--x

Structured-Prior-Guided Diffusion Inpainting with Physical Consistency for Traffic Sign Augmentation

arXiv:2609.02348v1 Announce Type: new Abstract: Traffic sign detection faces a long-tailed data distribution. Many rare signs matter as much as common ones from a regulatory standpoint, yet they have

Subcellularly Resolved Single-Cell Embedding Learning with Transcriptomic data, Protein Structure and Localization Information

arXiv:2609.02344v1 Announce Type: cross Abstract: Existing cell embedding methods predominantly rely on transcriptomic or proteomic measurements and represent each cell as a holistic entity, thereby o

local-aiarxiv-cs-ai

Hardware

Super happy to officially announce that we are a̶c̶q̶u̶i̶r̶i̶n̶g̶ joining forces with @nvidia 🔥 Here is a more personal take: AI is at an i…

hardwaregeorgi-gerganov--x

Super happy to officially announce that we are a̶c̶q̶u̶i̶r̶i̶n̶g̶ joining forces with @nvidia 🔥 Here is a more personal take: AI is at an inflection point. Open source AI can become less relevant in t

Hardware

Super happy to share our intention to join forces with NVIDIA in a $12,930,300,000 acquisition 💛💚 10 years after starting Hugging Face, op…

Super happy to share our intention to join forces with NVIDIA in a $12,930,300,000 acquisition 💛💚 10 years after starting Hugging Face, open-source AI is at an inflection point. Thanks to the communit

hardwareelon-musk--x

Swin Meets EfficientNet: Lightweight Architectures for GAN-Based Face Forensics

arXiv:2609.01749v1 Announce Type: cross Abstract: Modern generative models, such as GANs, diffusion architectures, and autoregressive systems, now produce facial images that are nearly indistinguishab

Synergistic Information Disentanglement for Omni-modal Slide Representation Learning in Computational Pathology

arXiv:2609.02118v1 Announce Type: new Abstract: In computational pathology (CPath), developing omni-modal self-supervised learning (SSL) models that integrate histology, genomics, and clinical reports

T2LSC-Bench: Benchmarking Localized Semantic Control in Text-to-Image Generation

model-releasesarxiv-cs-cv

arXiv:2609.02255v1 Announce Type: new Abstract: Recent text-to-image models have become increasingly capable of rendering explicit text, but reliable localized text control requires more than generati

TalkFa: A Unified Benchmark for Farsi Dialogue Generation and Understanding

model-releasesarxiv-cs-cl

arXiv:2609.01810v1 Announce Type: new Abstract: Farsi, spoken by more than 120 million people, lacks a comprehensive benchmark for dialogue generation and understanding. We introduce TALKFA, a unified

TAME: Temporal-Aware Mixture-of-Experts for Text-Video Retrieval

arXiv:2609.02204v1 Announce Type: new Abstract: Text-Video Retrieval (TVR) retrieves videos that match a natural-language query, but extending image-text models such as CLIP to videos is fundamentally

TAPVid-MV: A Benchmark for Tracking Any Point in 3D Across Multiple Views

model-releasesarxiv-cs-cv

arXiv:2609.01899v1 Announce Type: new Abstract: Multi-camera systems are increasingly practical for robotics, AR/VR, and autonomous driving because complementary views reduce depth ambiguity and prese

TaRA: Training-Aware Low-Rank Adaptation Initialization

model-releasesarxiv-cs-ai

arXiv:2609.02639v1 Announce Type: cross Abstract: Low-Rank Adaptation (LoRA) has become a de facto standard for parameter-efficient fine-tuning (PEFT), yet its performance is highly sensitive to initi

Task-Level Natural Language Priors as Learning Signals for Low-Resource LLM Training

model-releasesarxiv-cs-ai

arXiv:2609.02244v1 Announce Type: new Abstract: Large language models (LLMs) often struggle when low-resource training data are ambiguous or incomplete. Task-level natural-language priors can provide

TC-Next: Zero-Shot Multimodal Cyclone Forecasting

arXiv:2609.02085v1 Announce Type: cross Abstract: We present TropicalCycloneNext (TC-Next), a multimodal deep learning model that forecasts tropical cyclone track and intensity at 6-24 h leads by leve

TempoGround: State-Aware Streaming Visual Grounding with Vision-Language Models

arXiv:2609.02359v1 Announce Type: new Abstract: Visual grounding maps language referents to spatial targets and is central to open-vocabulary perception with vision-language models. Existing methods h

Ten Architectures, One Error: Shared Failure Modes in Hyperspectral Classification under Spatially Disjoint Evaluation

model-releasesarxiv-cs-cv

arXiv:2609.01786v1 Announce Type: new Abstract: Hyperspectral image classification still relies heavily on random pixel splits within a single scene. The Salinas dataset, randomly split, is among the

Applications

Test-Time Logit Prompting for Source-Free Missing Modality Adaptation

arXiv:2609.02039v1 Announce Type: new Abstract: Vision-language models (VLMs) have achieved remarkable performance by leveraging complementary information from large-scale image-text pairs. However, m

applicationsarxiv-cs-cv

Testing Deepseek-V4-Flash-Vision-EXP on Dual RTX6000 build

model-releasesr-localllama

Upgraded my work LLM server from DSV4-Flash-0731 to the new Vision-Exp model and did this little test for fun to see quality comparison. Test was performed in Openweb UI connected to my vLLM container

Testing orangesouth/MinimaxH3CinematicRealism and vpakarinen/better-human-motion-h3-lora 'dean winchester vs sub zero' pruned fp8 model no turbo lora 32steps

model-releasesr-stablediffusion

https://huggingface.co/orangesouth/MinimaxH3CinematicRealism/tree/main https://huggingface.co/vpakarinen/better-human-motion-h3-lora/tree/main prompt integrated_multimodal_description: dy, [Shot 1] Ph

text2ql: Multi-Target Natural Language Querying via a Language-Agnostic Intermediate Representation

arXiv:2609.02115v1 Announce Type: cross Abstract: Natural language interfaces to databases have traditionally suffered from three structural limitations: exclusive targeting of relational SQL, uncondi

Applications

The AI model is table stakes: Enterprise data is where the battle begins

Enterprises need practical solutions when it comes to artificial intelligence implementation. As organizations look to move AI projects from proof of concept into production, navigating the challenges

applicationssiliconangle