Search: “applications”

AEGIR: Modeling Area Emitters for Indoor Inverse Rendering using Gaussian Splatting

arXiv:2606.28635v1 Announce Type: new Abstract: Inverse rendering requires separating illumination from surface materials, which is highly ambiguous due to their tight coupling in observed images. Whi

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Applications

AHOY! Animatable Humans under Occlusion from YouTube Videos with Gaussian Splatting and Video Diffusion Priors

DGX agent

arXiv:2603.17975v2 Announce Type: replace Abstract: We present AHOY, a method for reconstructing complete, animatable 3D Gaussian avatars from in-the-wild monocular video despite heavy occlusion. Exis

applicationsarxiv-cs-cv

30 Jun 2026

AI and vibe coding fuel a surge in game releases; ATTN Economy says 181K mobile games launched in six months to May, up 118% on iOS and 73% on Android YoY (Orlando Crowcroft/Financial Times)

Orlando Crowcroft / Financial Times: AI and vibe coding fuel a surge in game releases; ATTN Economy says 181K mobile games launched in six months to May, up 118% on iOS and 73% on Android YoY — More i

applicationstechmeme

AMR: Adaptive Modality Routing for Multimodal Polyglot Speaker Identification

arXiv:2606.29335v1 Announce Type: cross Abstract: Multimodal speaker identification systems face two key challenges in real-world deployment: missing modalities and language mismatch between training

Articulating then Matching: Zero-Shot Shape Matching for Uncurated Data

arXiv:2606.29167v1 Announce Type: new Abstract: Finding dense correspondences between 3D shapes is a fundamental yet unresolved challenge, especially in real-world environments. These environments pre

As open models get stronger, more workloads move into the competitive inference market. That pushes the real fight toward speed, cost, relia…

applicationstogether-ai--x

As open models get stronger, more workloads move into the competitive inference market. That pushes the real fight toward speed, cost, reliability, and control. Together AI is where open models become

Attention Enhanced Entity Recommendation for Intelligent Monitoring in Cloud Systems

arXiv:2510.20640v2 Announce Type: replace Abstract: In this paper, we present DiRecGNN, an attention-enhanced entity recommendation framework for monitoring cloud services at Microsoft. We provide ins

Auditing LLM-Governed Social Robots with Culture-Specific Moral Gradients

arXiv:2606.28345v1 Announce Type: cross Abstract: LLM-governed social robots increasingly decide who receives real-world assistance first. As prioritization norms vary across cultures by age, status,

Safety

Bandwidth Selection in Kernel Density Estimation for Model Calibration

arXiv:2606.29925v1 Announce Type: new Abstract: As deep learning models are increasingly deployed in high-stakes applications, providing well-calibrated uncertainty estimates has become as critical as

safetyarxiv-cs-lg

Bridging Neural Networks and Wireless Systems with MIMO-OFDM Semantic Communications

arXiv:2501.16726v2 Announce Type: replace-cross Abstract: Semantic communications aim to enhance transmission efficiency by jointly optimizing source coding, channel coding, and modulation. While prio

Bridging Rested and Restless Bandits with Graph-Triggering: Rising and Rotting

arXiv:2409.05980v2 Announce Type: replace-cross Abstract: Rested and Restless Bandits are two well-known bandit settings that are useful to model real-world sequential decision-making problems in whic

Character Recognition of Nepali Number Plate

arXiv:2606.28946v1 Announce Type: new Abstract: This paper presents a robust Automatic Number Plate Recognition (ANPR) system tailored for Nepali license plates written in Devanagari script. In this p

CogSENet: Blind Image Deblurring with Blur-Conditioned Semantic Routing and Explicit Frequency Fusion

arXiv:2606.30030v1 Announce Type: new Abstract: Blind image deblurring demands the recovery of high-fidelity details and coherent structures from complex, unknown degradations. Current blind image deb

Common challenge that will come up in the near future is capturing the gains of greater AI intelligence in organizations. High human capital…

applicationsethan-mollick--x

Common challenge that will come up in the near future is capturing the gains of greater AI intelligence in organizations. High human capital firms need to be set up to benefit from their high-quality

Comparing Human and Automatic Recognition of Dutch Dysarthric Continuous Speech: A Case Study

arXiv:2606.30237v1 Announce Type: new Abstract: In our goal to develop personalised dysarthric speech recognition (DSR) models, this study compared the recognition performances of human listeners and

applicationsarxiv-cs-cl

Cross-Resolution Semantic Transfer for Robust Text-to-Image Retrieval in Low-Resolution Surveillance

arXiv:2606.30458v1 Announce Type: new Abstract: Text-to-image person re-identification (TIPR) retrieves target persons using natural language descriptions. However, existing methods largely overlook r

Hardware

CSAR: Containerized System Architecture for Robotics

arXiv:2606.30293v1 Announce Type: new Abstract: Robotic applications increasingly rely on distributed computational infrastructures that combine embedded devices, edge servers, and cloud resources. Th

hardwarearxiv-cs-ro

CW-B: Class Weighted Boosting Framework for Imbalance Resilient Multi Class Cardiac Phenotyping

arXiv:2606.29907v1 Announce Type: cross Abstract: Cardiac discharge phenotyping informs post-discharge treatment and follow-up, but real-world records are often incomplete and class-imbalanced, increa

D^{2}R^{2}OSR: Degradation-Disentangled Representation for Real-World Omnidirectional Image Super-Resolution

arXiv:2606.29314v1 Announce Type: new Abstract: With the growing demand for immersive visual experiences, high-quality omnidirectional images (ODIs) have become increasingly important. However, limita

Research

DCGrasp: Distance-aware Controllable Grasp Generation

arXiv:2606.29924v1 Announce Type: new Abstract: Generating 3D hand-object interactions is essential for applications in robotics, XR, and synthetic data generation, where flexible controllability and

researcharxiv-cs-cv

Differentiable Physics-Informed Adaptive Koopman Control for Stable Flight under Unknown Disturbances

arXiv:2506.08319v2 Announce Type: replace-cross Abstract: Uncertainties and disturbances in robotic systems, such as aerodynamic forces, are fundamentally outcomes of physical interactions with the en

DiLaServe: High SLO Attainment Serving for Diffusion Language Models

arXiv:2606.29094v1 Announce Type: new Abstract: Diffusion language models (DLMs) have recently emerged as a promising alternative to conventional autoregressive language models. By generating multiple

Domain Adaptation with Adaptive Imagination for Visual Reinforcement Learning under Limited Target Data

arXiv:2606.30192v1 Announce Type: new Abstract: Sim-to-real transfer remains a major obstacle for reinforcement learning (RL), especially for vision-based control where image observations exacerbate t

Don't fall for Elon Musk's gaslighting. There is a massive, life-or-death difference between well-planned budget cuts and a sudden, reckless…

applicationsyann-lecun--x

Don't fall for Elon Musk's gaslighting. There is a massive, life-or-death difference between well-planned budget cuts and a sudden, reckless halt to promised medical aid. Musk is actively lying about

Edit in 2D, Verify in 3D: Reinforcement Learning for Multi-view Consistent Scene Editing

arXiv:2603.03143v2 Announce Type: replace-cross Abstract: Leveraging the priors of 2D diffusion models for 3D editing has emerged as a promising paradigm. However, multi-view consistency remains chall

Embodiment Meets Environment: Toward Context-Aware, Safe Physical Caregiving Robots

arXiv:2606.28592v1 Announce Type: new Abstract: Physical caregiving robots need to assist different users with different tasks in diverse environments, and they come in many embodiments. While substan

End-to-End Facial Expression Detection in Long Videos

arXiv:2504.07660v2 Announce Type: replace Abstract: Facial expression detection requires spotting when expressions occur and recognizing which emotional category they belong to. Despite their close re

Establishing the Minimal Clinically Important Difference (MCID) for Smartphone-Derived Gait Measures in Multiple Sclerosis

arXiv:2606.28449v1 Announce Type: cross Abstract: Background: Digital health technologies allow for frequent, remote gait monitoring in people with multiple sclerosis (MS). However, to differentiate d

Event-VLA: Action-Conditioned Event Fusion for Robust Vision-Language-Action Model

arXiv:2606.29384v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models have become an important paradigm of embodied AI. However, existing VLA models typically assume well-lit and stable

Exploring the Value of Diverse LLM Explanations in Introductory Programming

arXiv:2606.28882v1 Announce Type: cross Abstract: Large Language Models (LLMs) have shown the potential to generate code explanations that surpass those of peers in quality, offering promising opportu

Financing Artificial Intelligence Infrastructure: Mapping AI Infrastructure Investment and Compute Governance Across Africa

arXiv:2606.28404v1 Announce Type: cross Abstract: Artificial intelligence depends on large-scale compute resources and their supporting infrastructure. However, AI governance debates treat compute pri

Five Chinese tech and advanced manufacturing companies launched Hong Kong listings today to raise up to 5.6B, led by Apple supplier Luxshare's 3.15B offering (Reuters)

Reuters: Five Chinese tech and advanced manufacturing companies launched Hong Kong listings today to raise up to 5.6B, led by Apple supplier Luxshare's 3.15B offering — Five Chinese technology and adv

applicationstechmeme

FlexTab: A Flexible Encoder-Decoder Architecture for In-Context Learning Across Diverse Tabular Tasks

arXiv:2606.30336v1 Announce Type: new Abstract: We introduce FlexTab, a flexible encoder-decoder architecture for in-context learning on tabular data that pairs a single, task-agnostic encoder with a

FreqOrtho-SR: Frequency-Guided Orthogonal Expert Learning for Real-World Image Super-Resolution

arXiv:2606.28745v1 Announce Type: new Abstract: Diffusion prior-based methods have shown impressive results in real-world image super-resolution (ISR), yet two key challenges persist: balancing pixel-

GaRLILEO: Gravity-aligned Radar-Leg-Inertial Enhanced Odometry

arXiv:2511.13216v2 Announce Type: replace Abstract: Deployment of legged robots for navigating challenging terrains (e.g., stairs, slopes, and unstructured environments) has gained increasing preferen

Model Releases

Generalization Analysis of Transformers in Distribution Regression

model-releasesarxiv-cs-lg

arXiv:2606.29256v1 Announce Type: cross Abstract: In recent years, models based on the Transformer architecture have seen widespread applications and have become one of the core tools in the field of

HieraMix: A Hierarchical MLP-Mixer for Large-Scale Traffic Forecasting

arXiv:2512.07854v2 Announce Type: replace Abstract: Traffic forecasting task is significant to modern urban management. Recently, there is growing attention on large-scale forecasting, as it better re

HiRes: A Hierarchical Cascaded Method for Resistor Value Identification

arXiv:2606.30179v1 Announce Type: new Abstract: Accurate identification of resistor values from unconstrained images remains a challenging computer vision task due to variations in lighting, orientati

Human2Any: Human-to-Robot Transfer via Constraint-Aware Compositional Planning

arXiv:2606.28813v1 Announce Type: cross Abstract: Human videos are a scalable source of supervision for robot manipulation, as they are abundant and naturally capture rich object interactions. However

HUMEMBR: Learning Human Routines for Predictive Embodied Navigation

arXiv:2606.30404v1 Announce Type: new Abstract: Understanding and navigating human-centered environments over extended periods of time while considering human behavior and routines remains a fundament

I wrote about how the rapid rise in AI abilities is leading to both a transformation in how AI is used at work, and the sort of sudden lurch…

applicationsethan-mollick--x

I wrote about how the rapid rise in AI abilities is leading to both a transformation in how AI is used at work, and the sort of sudden lurches in policies and markets we have been seeing in recent wee

if US bans open source because China is leading, then 1. impossible to enforce(you just need to download a zip for weights) 2. Increases the…

applicationsclem-delangue--x

if US bans open source because China is leading, then 1. impossible to enforce(you just need to download a zip for weights) 2. Increases the cost of using AI for US companies and consumers, while Chin

Improving Patient Subtyping on Longitudinal Data using Representations from Mamba-based Architecture

arXiv:2606.28623v1 Announce Type: new Abstract: Effective sub-typing (also known as grouping or clustering) of patients using their electronic health record (EHR) data can greatly inform precision med

inference reliability has historically been a tax on devs that only large well-funded startups could afford: reserve GPUs in advance, sign a…

applicationsfireworks-ai--x

inference reliability has historically been a tax on devs that only large well-funded startups could afford: reserve GPUs in advance, sign a contract, guess your peak throughput requirements. everyone

Just hardcore engineering

Just hardcore engineering This required: - advanced optics solutions to be able to see vessels through an opaque layer of tissue - precision manufacturing to machine micrometer scale features in our n

applicationselon-musk--x

Latent-CURE for Breast Cancer Diagnosis

arXiv:2606.29928v1 Announce Type: cross Abstract: Multimodal Large Models have significantly advanced automated breast ultrasound diagnosis. However, most existing frameworks utilize opaque, end-to-en

LeapXpert lands $180M to extract more intelligence from governed enterprise communications

Secure business communications startup LeapXpert Inc. said today it has bagged 180 million in a growth round of funding to build out its artificial intelligence capabilities and generate valuable inte

applicationssiliconangle

Legal Domain Adaptation of Modern BERT Models

arXiv:2606.28538v1 Announce Type: new Abstract: We investigate domain adaptation of modern BERT models in the legal domain. We further pre-train ModernBERT on all US court opinions using the masked la

applicationsarxiv-cs-cl