Data Science

Innovation abounds in device charging | MIT Technology Review

The changes may be less perceptible than in smartphones, tablets, or wearables, but chargers have also been quietly reinvented over the l...

I Work in Hollywood. Everyone Who Used to Make TV Is Now Secretly Training AI | WIRED

For screenwriters like me—and job seekers all over—AI gig work is the new waiting tables. In eight months, I’ve done 20 of these soul-cru...

AI & Data Exchange 2026: NIH’s Susan Gregurick on overcoming data silos with AI analytics

Innovation abounds in device charging | MIT Technology Review

The changes may be less perceptible than in smartphones, tablets, or wearables, but chargers have also been quietly reinvented over the l...

I Work in Hollywood. Everyone Who Used to Make TV Is Now Secretly Training AI | WIRED

For screenwriters like me—and job seekers all over—AI gig work is the new waiting tables. In eight months, I’ve done 20 of these soul-cru...

AI & Data Exchange 2026: NIH’s Susan Gregurick on overcoming data silos with AI analytics

[2602.02320] A Large-Scale Dataset for Molecular Structure-Language Description via a Rule-Regularized Method

Abstract page for arXiv paper 2602.02320: A Large-Scale Dataset for Molecular Structure-Language Description via a Rule-Regularized Method

[2506.21582] VIDEE: Visual and Interactive Decomposition, Execution, and Evaluation of Text Analytics with Intelligent Agents

Abstract page for arXiv paper 2506.21582: VIDEE: Visual and Interactive Decomposition, Execution, and Evaluation of Text Analytics with I...

[2509.12047] A Computer Vision Pipeline for Individual-Level Behavior Analysis: Benchmarking on the Edinburgh Pig Dataset

Abstract page for arXiv paper 2509.12047: A Computer Vision Pipeline for Individual-Level Behavior Analysis: Benchmarking on the Edinburg...

[2412.11194] Direction for Detection: A Survey of Automated Vulnerability Detection and all of its Pain Points

Abstract page for arXiv paper 2412.11194: Direction for Detection: A Survey of Automated Vulnerability Detection and all of its Pain Points

[2407.04183] Seeing Like an AI: How LLMs Apply (and Misapply) Wikipedia Neutrality Norms

Abstract page for arXiv paper 2407.04183: Seeing Like an AI: How LLMs Apply (and Misapply) Wikipedia Neutrality Norms

[2511.09907] Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis

Abstract page for arXiv paper 2511.09907: Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis

[2605.07462] The Moltbook Files: A Harmless Slopocalypse or Humanity's Last Experiment

Abstract page for arXiv paper 2605.07462: The Moltbook Files: A Harmless Slopocalypse or Humanity's Last Experiment

[2605.07444] Accelerated and data-efficient flow prediction in stirred tanks via physics-informed learning

Abstract page for arXiv paper 2605.07444: Accelerated and data-efficient flow prediction in stirred tanks via physics-informed learning

[2605.08019] Reason to Play: Behavioral and Brain Alignment Between Frontier LRMs and Human Game Learners

Abstract page for arXiv paper 2605.08019: Reason to Play: Behavioral and Brain Alignment Between Frontier LRMs and Human Game Learners

[2509.11777] User eXperience Perception Insights Dataset (UXPID): Synthetic User Feedback from Public Industrial Forums

Abstract page for arXiv paper 2509.11777: User eXperience Perception Insights Dataset (UXPID): Synthetic User Feedback from Public Indust...

[2510.00322] Privately Estimating Black-Box Statistics

Abstract page for arXiv paper 2510.00322: Privately Estimating Black-Box Statistics

[2509.26272] PRPO: Paragraph-level Policy Optimization for Vision-Language Deepfake Detection

Abstract page for arXiv paper 2509.26272: PRPO: Paragraph-level Policy Optimization for Vision-Language Deepfake Detection

[2505.11325] Uncertainty Quantification for Prior-Data Fitted Networks using Martingale Posteriors

Abstract page for arXiv paper 2505.11325: Uncertainty Quantification for Prior-Data Fitted Networks using Martingale Posteriors

[2509.24789] Fidel-TS: A High-Fidelity Multimodal Benchmark for Time Series Forecasting

Abstract page for arXiv paper 2509.24789: Fidel-TS: A High-Fidelity Multimodal Benchmark for Time Series Forecasting

[2605.07970] Linear Response Estimators for Singular Statistical Models

Abstract page for arXiv paper 2605.07970: Linear Response Estimators for Singular Statistical Models

[2605.07663] Quotient Semivalues for False-Name-Resistant Data Attribution

Abstract page for arXiv paper 2605.07663: Quotient Semivalues for False-Name-Resistant Data Attribution

[2605.07632] Post-training makes large language models less human-like

Abstract page for arXiv paper 2605.07632: Post-training makes large language models less human-like