applications

Sparse clustering via the Deterministic Information Bottleneck algorithm

arXiv:2601.20628v3 Announce Type: replace-cross Abstract: Cluster analysis relates to the task of assigning objects into groups which ideally present some desirable characteristics. When a cluster str

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Spatio-Temporal Difference Guided Motion Deblurring with the Complementary Vision Sensor

DGX agent

arXiv:2604.10554v1 Announce Type: new Abstract: Motion blur arises when rapid scene changes occur during the exposure period, collapsing rich intra-exposure motion into a single RGB frame. Without exp

applicationsarxiv-cs-cv

14 Apr 2026

Starburst adds AI front end in a bid to make conventional business intelligence dashboards obsolete

Starburst Data Inc. today introduced an artificial intelligence capability designed to let business users query and analyze enterprise data using natural language, positioning the offering as a shift

applicationssiliconangle

TaFall: Balance-Informed Fall Detection via Passive Thermal Sensing

arXiv:2604.09693v1 Announce Type: cross Abstract: Falls are a major cause of injury and mortality among older adults, yet most incidents occur in private indoor environments where monitoring must bala

The Deployment Gap in AI Media Detection: Platform-Aware and Visually Constrained Adversarial Evaluation

arXiv:2604.09706v1 Announce Type: cross Abstract: Recent AI media detectors report near-perfect performance under clean laboratory evaluation, yet their robustness under realistic deployment condition

The embodied brain: Bridging the brain, body, and behavior with neuromechanical digital twins

arXiv:2601.08056v2 Announce Type: replace-cross Abstract: Animal behavior reflects interactions between the nervous system, body, and environment. Therefore, biomechanics and environmental context mus

applicationsarxiv-cs-ro

The idea of sovereign frontier models is only viable as long as the main Chinese model makers keep shipping open weights models that anyone …

The idea of sovereign frontier models is only viable as long as the main Chinese model makers keep shipping open weights models that anyone can build on. I am not sure how long that will continues but

The Second Challenge on Real-World Face Restoration at NTIRE 2026: Methods and Results

arXiv:2604.10532v1 Announce Type: new Abstract: This paper provides a review of the NTIRE 2026 challenge on real-world face restoration, highlighting the proposed solutions and the resulting outcomes.

(This is a big part of what was called emergence in earlier academic work on unexpected LLM ability gains)

Ethan Mollick discusses the concept of 'emergence' in large language models (LLMs), referring to the phenomenon where AI systems appear to suddenly develop unexpected capabilities as they scale. The p

This robot can be torn apart and still keeps moving. Northwestern researchers built modular robot legs that each operate as fully independen…

applicationsrowan-cheung--x

This robot can be torn apart and still keeps moving. Northwestern researchers built modular robot legs that each operate as fully independent machines: > Own battery > Own motor > Own sensors > Own br

Towards Situation-aware State Modeling for Air Traffic Flow Prediction

arXiv:2604.11198v1 Announce Type: new Abstract: Accurate air traffic prediction in the terminal airspace (TA) is pivotal for proactive air traffic management (ATM). However, existing data-driven appro

Tuning Language Models for Robust Prediction of Diverse User Behaviors

arXiv:2505.17682v2 Announce Type: replace-cross Abstract: Predicting user behavior is essential for intelligent assistant services, yet deep learning models often struggle to capture long-tailed behav

Understanding Generalization in Role-Playing Models via Information Theory

arXiv:2512.17270v2 Announce Type: replace-cross Abstract: Role-playing models (RPMs) are widely used in real-world applications but underperform when deployed in the wild. This degradation can be attr

Version numbers are not a very useful way to understand model ability gains at this stage. Unfortunately that means that if you aren’t follo…

Version numbers are not a very useful way to understand model ability gains at this stage. Unfortunately that means that if you aren’t following closely, you would expect that 5.4 is a small gain over

What Do Vision-Language Models Encode for Personalized Image Aesthetics Assessment?

arXiv:2604.11374v1 Announce Type: cross Abstract: Personalized image aesthetics assessment (PIAA) is an important research problem with practical real-world applications. While methods based on vision

applicationsarxiv-cs-cl

Why Don't You Know? Evaluating the Impact of Uncertainty Sources on Uncertainty Quantification in LLMs

arXiv:2604.10495v1 Announce Type: new Abstract: As Large Language Models (LLMs) are increasingly deployed in real-world applications, reliable uncertainty quantification (UQ) becomes critical for safe

applicationsarxiv-cs-cl

WiFlow: A Lightweight WiFi-based Continuous Human Pose Estimation Network with Spatio-Temporal Feature Decoupling

arXiv:2602.08661v2 Announce Type: replace Abstract: Human pose estimation is fundamental to intelligent perception in the Internet of Things (IoT), enabling applications ranging from smart healthcare

A mech piloted by Tiktaalik, the first fish to go onto land, versus a mech piloted by the moss-like plants that grew on land during the Late…

This appears to be a whimsical, imaginative post from Ethan Mollick on X (formerly Twitter) framing an evolutionary history scenario as a fictional mech battle, pitting a machine piloted by Tiktaalik

Adaptive Action Chunking at Inference-time for Vision-Language-Action Models

arXiv:2604.04161v2 Announce Type: replace Abstract: In Vision-Language-Action (VLA) models, action chunking (i.e., executing a sequence of actions without intermediate replanning) is a key technique t

applicationsarxiv-cs-ro

Adaptive Candidate Point Thompson Sampling for High-Dimensional Bayesian Optimization

arXiv:2604.08891v1 Announce Type: new Abstract: In Bayesian optimization, Thompson sampling selects the evaluation point by sampling from the posterior distribution over the objective function maximiz

AI Driven Soccer Analysis Using Computer Vision

arXiv:2604.08722v1 Announce Type: cross Abstract: Sport analysis is crucial for team performance since it provides actionable data that can inform coaching decisions, improve player performance, and e

An Open-Source, Open Data Approach to Activity Classification from Triaxial Accelerometry in an Ambulatory Setting

arXiv:2604.09451v1 Announce Type: cross Abstract: The accelerometer has become an almost ubiquitous device, providing enormous opportunities in healthcare monitoring beyond step counting or other aver

AniGen: Unified S^3 Fields for Animatable 3D Asset Generation

arXiv:2604.08746v1 Announce Type: cross Abstract: Animatable 3D assets, defined as geometry equipped with an articulated skeleton and skinning weights, are fundamental to interactive graphics, embodie

Anyhow, it would be awesome if this is a false alarm and we get increasingly powerful coding tools with no downside risk.

Ethan Mollick, a prominent researcher and commentator on AI, expresses cautious optimism about the trajectory of AI-powered coding tools, acknowledging a scenario where increasingly capable coding ass

AR-KAN: Autoregressive-Weight-Enhanced Kolmogorov-Arnold Network for Time Series Forecasting

arXiv:2509.02967v3 Announce Type: replace-cross Abstract: Traditional neural networks struggle to capture the spectral structure of complex signals. Fourier neural networks (FNNs) attempt to address t

Artificial intelligence can persuade people to take political actions

arXiv:2604.09200v1 Announce Type: cross Abstract: There is substantial concern about the ability of advanced artificial intelligence to influence people's behaviour. A rapidly growing body of research

As I look at some of the replies (which are startlingly human, whats up with X?), it appears a lot of the concern is that Mythos was present…

As I look at some of the replies (which are startlingly human, whats up with X?), it appears a lot of the concern is that Mythos was presented as some magic leap. I didn't read Anthropic's announcemen

At this point, I assume that every internal memo at an AI lab is just written for public release. The labs are certainly capable of keeping …

At this point, I assume that every internal memo at an AI lab is just written for public release. The labs are certainly capable of keeping secrets that don’t leak, so they must realize that all-hands

Back further in history: single cell versus multicellular life mech battles

This post by Ethan Mollick likely explores AI-generated or conceptual visualizations of battles between single-celled and multicellular organisms framed as mech combat, drawing on biological history f

CoMoVi: Co-Generation of 3D Human Motions and Realistic Videos

arXiv:2601.10632v2 Announce Type: replace Abstract: In this paper, we find that the generation of 3D human motions and 2D human videos is intrinsically coupled. 3D motions provide the structural prior

Confident in a Confidence Score: Investigating the Sensitivity of Confidence Scores to Supervised Fine-Tuning

arXiv:2604.08974v1 Announce Type: new Abstract: Uncertainty quantification is a set of techniques that measure confidence in language models. They can be used, for example, to detect hallucinations or

applicationsarxiv-cs-cl

DiffHDR: Re-Exposing LDR Videos with Video Diffusion Models

arXiv:2604.06161v2 Announce Type: replace-cross Abstract: Most digital videos are stored in 8-bit low dynamic range (LDR) formats, where much of the original high dynamic range (HDR) scene radiance is

Disappointing that this got labelled 'made with AI' when it is obviously a documentary.

Ethan Mollick shared a post on X expressing frustration that a piece of content—likely a documentary or documentary-style video—was automatically or incorrectly labeled as 'made with AI.' The post hig

eBandit: Kernel-Driven Reinforcement Learning for Adaptive Video Streaming

arXiv:2604.08791v1 Announce Type: cross Abstract: User-space Adaptive Bitrate (ABR) algorithms cannot see the transport layer signals that matter most, such as minimum RTT and instantaneous delivery r

Efficient Spatial-Temporal Focal Adapter with SSM for Temporal Action Detection

arXiv:2604.09164v1 Announce Type: new Abstract: Temporal human action detection aims to identify and localize action segments within untrimmed videos, serving as a pivotal task in video understanding.

Enhanced Self-Supervised Multi-Image Super-Resolution for Camera Array Images

arXiv:2604.06816v2 Announce Type: replace-cross Abstract: Conventional multi-image super-resolution (MISR) methods, such as burst and video SR, rely on sequential frames from a single camera. Conseque

Evidential Transformation Network: Turning Pretrained Models into Evidential Models for Post-hoc Uncertainty Estimation

arXiv:2604.08627v1 Announce Type: cross Abstract: Pretrained models have become standard in both vision and language, yet they typically do not provide reliable measures of confidence. Existing uncert

Folks, this is not Jevon's Paradox. this is just normal supply and demand. It turns out the utility of AI is high enough that people have hi…

Folks, this is not Jevon's Paradox. this is just normal supply and demand. It turns out the utility of AI is high enough that people have high demand, which is outstripping supply (so prices will go u

Graph Defense Diffusion Model

arXiv:2501.11568v2 Announce Type: replace Abstract: Graph Neural Networks (GNNs) are highly vulnerable to adversarial attacks, which can greatly degrade their performance. Existing graph purification

Grok continues to lead global benchmarks: • #1 in AA Omniscience (lowest hallucination rate) • #1 in IFBench performance • #1 on BridgeBench…

Grok continues to lead global benchmarks: • #1 in AA Omniscience (lowest hallucination rate) • #1 in IFBench performance • #1 on BridgeBench Reasoning • #1 on BridgeBench Speed • #1 on BridgeBench Low

applicationselon-musk--x

Grok

Grok Grok-4.20 just took the #1 spot in the world for Medicine & Healthcare on Text Arena Grok is already saving lives by identifying critical conditions that human doctors miss. There have been many

applicationselon-musk--x

IBM demonstrates extreme scale with a 100B vector database

IBM Research demonstrated the capability to store and search across a database of 100 billion vectors, showcasing extreme-scale vector storage for AI applications. This work addresses the growing need

applicationsibm-research

Identification and Anonymization of Named Entities in Unstructured Information Sources for Use in Social Engineering Detection

arXiv:2604.09016v1 Announce Type: cross Abstract: This study addresses the challenge of creating datasets for cybercrime analysis while complying with the requirements of regulations such as the Gener

Impressed that Seedance 2.0 can pull of 'a mech battle between Neanderthal and Homo Sapiens' so well. (This is exactly what happened, histor…

Ethan Mollick shares an example of Seedance 2.0, a video generation AI model, demonstrating impressive creative and historical scene generation capabilities by producing a depiction of a mech battle b

Investigating Multimodal Large Language Models to Support Usability Evaluation

arXiv:2508.16165v2 Announce Type: replace-cross Abstract: Usability evaluation is an essential method to support the design of effective and intuitive user interfaces (UIs). However, it commonly relie

LLM-Rosetta: A Hub-and-Spoke Intermediate Representation for Cross-Provider LLM API Translation

arXiv:2604.09360v1 Announce Type: cross Abstract: The rapid proliferation of Large Language Model (LLM) providers--each exposing proprietary API formats--has created a fragmented ecosystem where appli

Matrix-Game 3.0: Real-Time and Streaming Interactive World Model with Long-Horizon Memory

arXiv:2604.08995v1 Announce Type: new Abstract: With the advancement of interactive video generation, diffusion models have increasingly demonstrated their potential as world models. However, existing

Memory-Guided Trust-Region Bayesian Optimization (MG-TuRBO) for High Dimensions

arXiv:2604.08569v1 Announce Type: new Abstract: Traffic simulation and digital-twin calibration is a challenging optimization problem with a limited simulation budget. Each trial requires an expensive