applications

RMISC: A Large-scale Real-world Multivariate Corpus for Time Series Foundation Models

arXiv:2607.06504v1 Announce Type: new Abstract: Recent years have witnessed the emergence of multivariate modeling using time series foundation models (TSFMs), which achieve advanced zero-shot general

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Same prompt. 3 models. 6 camera moves. We put Seedance 2.0, Kling 3.0, and Grok Imagine 1.5 head-to-head on the camera techniques → Bullet t…

DGX agent

Same prompt. 3 models. 6 camera moves. We put Seedance 2.0, Kling 3.0, and Grok Imagine 1.5 head-to-head on the camera techniques → Bullet time → Crash zoom → Crane reveal → Dolly zoom → Object POV →

applicationscomfyui--x

8 Jul 2026

Shader: precision highp float; uniform vec2 resolution; uniform float time; uniform vec2 mouse; // -----------------------------------------…

applicationsethan-mollick--x

Shader: precision highp float; uniform vec2 resolution; uniform float time; uniform vec2 mouse; // ------------------------------------------------------------ // Hash / noise // ---------------------

SplineNet: An Isogeometric Deep Learning Method for Complex Shells

arXiv:2607.06026v1 Announce Type: new Abstract: We present a novel isogeometric deep learning method, termed SplineNet, for the seamless design and analysis of shell structures with complex geometries

SSA-3DGS: Unsupervised Removal of Screen-Space Artifacts for 3D Gaussian Splatting

arXiv:2607.05598v1 Announce Type: cross Abstract: Novel View Synthesis (NVS) methods, such as 3D Gaussian Splatting (3DGS), rely heavily on the assumption of clean, multi-view consistent, posed input

The GenAI Skill Bypass: Mapping Divergent Pathways of University Students and Staff AI Literacy

arXiv:2607.05411v1 Announce Type: cross Abstract: Higher education institutions are increasingly expected to ensure that both students and staff develop Generative AI (GenAI) literacies. In response,

This is a big update that I’m excited to finally share. We launched our first dev platform for AI media in 2020, offering a simple API and a…

applicationscristobal-valenzuela--x

This is a big update that I’m excited to finally share. We launched our first dev platform for AI media in 2020, offering a simple API and a diverse set of models. Back then, we built a powerful SDK a

This is what production RL infra looks like. ICYMI: RL training at scale separates into two distinct problems. - Tight collective comms for …

applicationsfireworks-ai--x

This is what production RL infra looks like. ICYMI: RL training at scale separates into two distinct problems. - Tight collective comms for the trainer. - Distributed async inference for rollout. Kudo

Thor: Towards Human-Level Whole-Body Reactions for Intense Contact-Rich Environments

arXiv:2510.26280v3 Announce Type: replace Abstract: Humanoids hold great potential for service, industrial, and rescue applications, in which robots must sustain whole-body stability while performing

applicationsarxiv-cs-ro

TRACE: Trajectory Recovery for Continuous Mechanism Evolution in Causal Representation Learning

arXiv:2601.21135v2 Announce Type: replace Abstract: Temporal causal representation learning methods assume that causal mechanisms switch instantaneously between discrete domains, yet real-world system

Training-Free Acceleration for Vision-Language-Action Models with Action Caching and Refinement

arXiv:2607.06370v1 Announce Type: cross Abstract: Vision-Language-Action (VLA) models have emerged as a promising approach for generalizable robotic manipulations. In particular, flow matching-based V

Unequal Uncertainty: Rethinking Algorithmic Interventions for Mitigating Discrimination from AI

arXiv:2508.07872v2 Announce Type: replace-cross Abstract: Uncertainty in artificial intelligence (AI) predictions raises pressing legal and ethical questions for AI-assisted decision-making. This arti

Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns

arXiv:2607.05855v1 Announce Type: cross Abstract: Information Operations on social media networks have been identified as a significant threat to democracy and modern society, but they are challenging

VisTCP: A Visualization Framework to Construct Knowledge-Graph-Based Representation for Traditional Chinese Painting

arXiv:2607.05841v1 Announce Type: cross Abstract: Structured representation can characterize semantic objects and relationships in images. It provides a possible effective way for the semantic underst

We are hiring for @Harvey’s model training team. This team will help Harvey expand from the application layer into the model layer and from …

applicationsharrison-chase--x

We are hiring for @Harvey’s model training team. This team will help Harvey expand from the application layer into the model layer and from legal into high end knowledge work more broadly. We are hiri

Why does AI unlock new possibilities in STEM education? A Bibliometric Analysis of Trends and Future Agenda

arXiv:2607.05412v1 Announce Type: cross Abstract: STEM education faces challenges in personalization and interdisciplinary integration. AI technology has brought new possibilities, but the mechanisms

A Bayesian Approach for the Network Reconstruction of Interdependent Critical Infrastructure Systems from Cascading Failures

arXiv:2211.15590v2 Announce Type: replace Abstract: Analyzing the behavior of complex interdependent networks requires complete information about the network topology and the interdependent links acro

A Provably-Correct and Robust Convex Model for Smooth Separable NMF

arXiv:2511.07109v2 Announce Type: replace-cross Abstract: Nonnegative matrix factorization (NMF) is a linear dimensionality reduction technique for nonnegative data, with applications such as hyperspe

A Sliding-Window-Based Reinforcement Learning for Dynamic Assembly Flow Shop Scheduling with Multi-Product Delivery

arXiv:2607.02941v1 Announce Type: new Abstract: Multi-product kitting delivery imposes significant challenges for real-time scheduling in hybrid manufacturing systems that integrate processing and ass

A Transformer-Based Contrastive Learning Approach for Few-Shot Sign Language Recognition

arXiv:2204.02803v2 Announce Type: replace-cross Abstract: Sign language recognition from monocular video or 2D pose sequences is challenging, both because 3D information must be inferred from 2D obser

Active Learning on Adversarially Corrupted Graphs

arXiv:2607.04869v1 Announce Type: new Abstract: Motivated by real-world scenarios where malicious entities tamper with existing networks, we define a model where an adversary seeks to hide a set of co

Advances in Neural Controlled Differential Equations

arXiv:2607.05280v1 Announce Type: new Abstract: Many real-world systems evolve continuously, yet most machine learning models interpret time series as discrete sequences. Continuous-time approaches in

AI obsessions, continued: the act of naming something, whether something is 'earned,' what 'carries' something else, strained metaphors, sit…

applicationsethan-mollick--x

AI obsessions, continued: the act of naming something, whether something is 'earned,' what 'carries' something else, strained metaphors, sitting with something (often an idea), an inanimate concept th

AI+Optimus will enable universal excellent healthcare that is better than anyone receives today

AI+Optimus will enable universal excellent healthcare that is better than anyone receives today Back pain sucks; AI could provide the answer to it. Elon: 'So, if you've got humanoid robots that have v

applicationselon-musk--x

AnyDesign: Versatile Area Fashion Editing via Mask-Free Diffusion

arXiv:2408.11553v5 Announce Type: replace Abstract: Fashion image editing aims to modify a person's appearance based on a given instruction. Existing methods require auxiliary tools like segmenters an

Aperture-aware Dispersion 5-D Light-field Imaging Spectrometer

arXiv:2607.04635v1 Announce Type: new Abstract: Enhancing perceptual dimensions while miniaturizing imaging systems presents significant challenges for high-dimensional visual sensing. Conventionally,

Applying Answer Set Programming with Fuzzy Membership Functions: a Case Study

arXiv:2607.03550v1 Announce Type: new Abstract: Human reasoning often operates through qualitative concepts expressed by linguistic labels such as high, low, expensive, or cheap, whose interpretation

ASSEMCAD: Production-Ready CAD Assembly Generation from Natural Language

arXiv:2607.05123v1 Announce Type: new Abstract: Recent advances in large language models and programmatic CAD have significantly improved Text-to-CAD generation for individual parts. However, producti

Atlas is Your Perfect Context: One-Shot Customization for Generalizable Foundational Medical Image Segmentation

arXiv:2512.18176v2 Announce Type: replace Abstract: Accurate segmentation of anatomical structures in medical images is essential for diagnosis and treatment planning. While recent interactive segment

Australian Payments Plus moves faster with ChatGPT and Codex

Australian Payments Plus, a payments platform, improved its development speed and efficiency by integrating OpenAI's ChatGPT and Codex tools into their workflow. The integration enabled faster code ge

applicationsopenai

Batched Bandits with Heavy-Tailed Rewards

arXiv:2510.03798v3 Announce Type: replace Abstract: The batched multi-armed bandit (MAB) problem, where rewards are collected in batches, is pivotal in applications like clinical trials. While prior w

Beyond Static Rules: Automated Discovery of Latent Vulnerabilities in Text-to-SQL

arXiv:2607.03833v1 Announce Type: cross Abstract: While Large Language Models (LLMs) have achieved remarkable success in Text-to-SQL tasks, their deployment in real-world environments is hindered by l

Beyond the Need for Speed: Energy-Aware Code Generation via Simulation-Guided Reinforcement Learning

arXiv:2607.04577v1 Announce Type: new Abstract: Code models strictly prioritize functional correctness, leaving software energy efficiency as an unoptimized byproduct. Training models to generate ener

Boom also had a board meeting where the board told me to shut the company down. XB-1 hadn’t broken the sound barrier yet. The team deployed …

applicationsemad-mostaque--x

Boom also had a board meeting where the board told me to shut the company down. XB-1 hadn’t broken the sound barrier yet. The team deployed in the Mojave desert was exhausted from months of fighting t

Boosting Automatic Exercise Evaluation Through Musculoskeletal Simulation-Based IMU Data Augmentation

arXiv:2505.24415v2 Announce Type: replace-cross Abstract: Automated evaluation of movement quality can enhance physiotherapeutic treatment and sports training by providing objective, real-time feedbac

CaresAI at SMM4H-HeaRD 2026: Predicting TNM Staging

arXiv:2607.03466v1 Announce Type: cross Abstract: This study aims to predict Tumor, Node, and Metastasis (TNM) stage labels independently, with the Cancer Genome Atlas (TCGA) pathology report as the s

CARL: Constraint-Aware Reinforcement Learning for Planning with LLMs

arXiv:2607.04854v1 Announce Type: new Abstract: Despite their strong reasoning capabilities and extensive world knowledge, Large Language Models (LLMs) frequently generate plans that violate task cons

CIPHER: Causal Intervention Pathways for Healthcare Equity and Robustness

arXiv:2607.02596v1 Announce Type: new Abstract: Deep learning models for medical diagnosis frequently exhibit substantial performance disparities across sensitive subgroups (e.g., race, sex), even whe

Classroom Behavior Monitoring with YOLO An Empirical Study in Higher Education Settings

arXiv:2607.02580v1 Announce Type: new Abstract: Classroom behavior monitoring plays a vital role in evaluating student engagement and improving teaching effectiveness. Traditional observation methods

CLEAR: Calibrated Learning for Epistemic and Aleatoric Risk

arXiv:2507.08150v4 Announce Type: replace-cross Abstract: Accurate uncertainty quantification is critical for reliable predictive modeling. Existing methods typically address either aleatoric uncertai

Closing the Reality Gap: Zero-Shot Sim-to-Real Deployment for Dexterous Force-Based Grasping and Manipulation

arXiv:2607.04940v1 Announce Type: new Abstract: Human-like dexterous hands with multiple fingers offer human-level manipulation capabilities but remain difficult to train the control policies that can

applicationsarxiv-cs-ro

CompLLM: Compression for Long Context Q&A

arXiv:2509.19228v2 Announce Type: replace Abstract: Large Language Models (LLMs) face significant computational challenges when processing long contexts due to the quadratic complexity of self-attenti

applicationsarxiv-cs-cl

CoorGrasp: Coordinated Contact Control for Adaptive Dexterous Grasping Under Uncertainty

arXiv:2607.03557v1 Announce Type: new Abstract: While recent research has focused heavily on dexterous grasp pose generation, less attention has been devoted to the execution of planned grasps. Under

applicationsarxiv-cs-ro

Cross-device Collaborative Test-time Adaptation with Zeroth-order Optimization and Model Merging

arXiv:2607.02988v1 Announce Type: new Abstract: Test-time adaptation (TTA) mitigates domain shifts by using incoming test data to update a model on the fly. The majority of TTA methods require resourc

Data centers’ energy demand threatens Trump’s “Made in America” plan

Data centers now account for about 5% of U.S. electricity demand but could triple by 2035 , creating potential conflicts with domestic manufacturing goals. Rising data center construction is outpacing

applicationsars-technica

Data-Driven Soft Labeling Scales DNA Read Classification to Whole-Body Cell-Type Deconvolution

arXiv:2607.04987v1 Announce Type: new Abstract: Cell-type deconvolution, the task of estimating the proportions of constituent cell types in a heterogeneous biological sample, is a core problem in com

Deep Learning for Semen Analysis in Male Infertility: Computer Vision, Multimodal Fusion, and Clinical Translation

arXiv:2607.05311v1 Announce Type: new Abstract: Male infertility contributes substantially to the global infertility burden, and sperm analysis remains central to diagnosis, treatment planning, and as

Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities

arXiv:2607.03201v1 Announce Type: cross Abstract: Long-form recordings (LFRs) of child-centered audio are ecologically valid sources for studying early language development, but three problems limit t