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UMKC Announces New Master of Science in Artificial Intelligence
Ai Infrastructure

UMKC Announces New Master of Science in Artificial Intelligence

UMKC announces a new Master of Science in Artificial Intelligence program aimed at addressing workforce demand for AI expertise, set to l...

AI News - General · 4 min ·
Accelerating science with AI and simulations
Machine Learning

Accelerating science with AI and simulations

MIT Professor Rafael Gómez-Bombarelli discusses the transformative potential of AI in scientific research, emphasizing its role in materi...

AI News - General · 10 min ·
Data Science

~77% of all new "Success" self-help books on Amazon are likely written by AI, with 1 author, Noah Felix Bennett, publishing a stunning 74 books in mid-2025 alone, at a rate of >1 per day. Richard Trillion Mantey, who has published hundreds of books, was assessed to have used AI for every single book

"Ironically, one of the 844 books in this dataset is called 'How to Write for Humans in an AI World: Cutting Through Digital Noise and Re...

Reddit - Artificial Intelligence · 1 min ·

All Content

[2508.00576] MultiSHAP: A Shapley-Based Framework for Explaining Cross-Modal Interactions in Multimodal AI Models
Machine Learning

[2508.00576] MultiSHAP: A Shapley-Based Framework for Explaining Cross-Modal Interactions in Multimodal AI Models

MultiSHAP introduces a Shapley-based framework for explaining interactions in multimodal AI models, enhancing interpretability and trustw...

arXiv - AI · 4 min ·
[2509.00287] SIGMUS: Semantic Integration for Knowledge Graphs in Multimodal Urban Spaces
Nlp

[2509.00287] SIGMUS: Semantic Integration for Knowledge Graphs in Multimodal Urban Spaces

The paper presents SIGMUS, a system for semantic integration of multimodal data in urban environments, leveraging large language models t...

arXiv - AI · 4 min ·
[2602.11325] Amortised and provably-robust simulation-based inference
Machine Learning

[2602.11325] Amortised and provably-robust simulation-based inference

This paper presents a novel method for simulation-based inference that is robust to outliers and simplifies computation by eliminating th...

arXiv - Machine Learning · 3 min ·
[2507.10134] FRSICL: LLM-Enabled In-Context Learning Flight Resource Allocation for Fresh Data Collection in UAV-Assisted Wildfire Monitoring
Llms

[2507.10134] FRSICL: LLM-Enabled In-Context Learning Flight Resource Allocation for Fresh Data Collection in UAV-Assisted Wildfire Monitoring

The paper presents FRSICL, a novel method utilizing LLMs for optimizing UAV data collection in wildfire monitoring, enhancing efficiency ...

arXiv - AI · 4 min ·
[2602.01872] Grappa: Gradient-Only Communication for Scalable Graph Neural Network Training
Machine Learning

[2602.01872] Grappa: Gradient-Only Communication for Scalable Graph Neural Network Training

Grappa introduces a gradient-only communication framework for scalable training of Graph Neural Networks (GNNs), improving speed and accu...

arXiv - Machine Learning · 4 min ·
[2601.18608] PolySHAP: Extending KernelSHAP with Interaction-Informed Polynomial Regression
Machine Learning

[2601.18608] PolySHAP: Extending KernelSHAP with Interaction-Informed Polynomial Regression

The paper introduces PolySHAP, an extension of KernelSHAP that uses interaction-informed polynomial regression to improve the accuracy of...

arXiv - Machine Learning · 4 min ·
[2601.16427] Perfect Clustering for Sparse Directed Stochastic Block Models
Machine Learning

[2601.16427] Perfect Clustering for Sparse Directed Stochastic Block Models

The paper presents a novel non-spectral method for community detection in sparse directed stochastic block models, addressing limitations...

arXiv - Machine Learning · 4 min ·
[2512.07329] Two-dimensional RMSD projections for reaction path visualization and validation
Data Science

[2512.07329] Two-dimensional RMSD projections for reaction path visualization and validation

This article presents a novel method for visualizing reaction paths in computational chemistry using two-dimensional RMSD projections, en...

arXiv - Machine Learning · 4 min ·
[2602.15811] Task-Agnostic Continual Learning for Chest Radiograph Classification
Machine Learning

[2602.15811] Task-Agnostic Continual Learning for Chest Radiograph Classification

This article presents CARL-XRay, a novel continual learning framework for chest radiograph classification that adapts to new datasets wit...

arXiv - AI · 4 min ·
[2510.17886] Graphical model for factorization and completion of relatively high rank tensors by sparse sampling
Machine Learning

[2510.17886] Graphical model for factorization and completion of relatively high rank tensors by sparse sampling

This paper presents a graphical model for factorization and completion of high-rank tensors using sparse sampling, addressing challenges ...

arXiv - Machine Learning · 4 min ·
[2602.15809] Decision Quality Evaluation Framework at Pinterest
Llms

[2602.15809] Decision Quality Evaluation Framework at Pinterest

The article presents a Decision Quality Evaluation Framework developed at Pinterest to enhance content moderation by evaluating the quali...

arXiv - AI · 3 min ·
[2602.15758] ChartEditBench: Evaluating Grounded Multi-Turn Chart Editing in Multimodal Language Models
Llms

[2602.15758] ChartEditBench: Evaluating Grounded Multi-Turn Chart Editing in Multimodal Language Models

The paper presents ChartEditBench, a benchmark for evaluating multi-turn chart editing in multimodal language models, highlighting challe...

arXiv - AI · 3 min ·
[2509.21961] FlowDrive: moderated flow matching with data balancing for trajectory planning
Machine Learning

[2509.21961] FlowDrive: moderated flow matching with data balancing for trajectory planning

The paper presents FlowDrive, a trajectory planning method that addresses data imbalance in driving datasets by using moderated flow matc...

arXiv - AI · 3 min ·
[2602.15757] Beyond Binary Classification: Detecting Fine-Grained Sexism in Social Media Videos
Nlp

[2602.15757] Beyond Binary Classification: Detecting Fine-Grained Sexism in Social Media Videos

The paper presents FineMuSe, a new dataset for detecting nuanced sexism in social media videos, addressing the limitations of binary clas...

arXiv - AI · 3 min ·
[2602.15733] MeshMimic: Geometry-Aware Humanoid Motion Learning through 3D Scene Reconstruction
Robotics

[2602.15733] MeshMimic: Geometry-Aware Humanoid Motion Learning through 3D Scene Reconstruction

MeshMimic introduces a novel framework for humanoid motion learning by integrating 3D scene reconstruction with motion control, enhancing...

arXiv - AI · 4 min ·
[2509.08535] Agents of Discovery
Machine Learning

[2509.08535] Agents of Discovery

The paper 'Agents of Discovery' explores the use of large language models (LLMs) as agents to automate data analysis in high energy physi...

arXiv - AI · 4 min ·
[2508.20373] NPG-Muse: Scaling Long Chain-of-Thought Reasoning with NP-Hard Graph Problems
Llms

[2508.20373] NPG-Muse: Scaling Long Chain-of-Thought Reasoning with NP-Hard Graph Problems

The paper presents NPG-Muse, a novel approach to enhance long chain-of-thought reasoning in large language models using NP-hard graph pro...

arXiv - AI · 4 min ·
[2508.14949] XAI-Driven Spectral Analysis of Cough Sounds for Respiratory Disease Characterization
Machine Learning

[2508.14949] XAI-Driven Spectral Analysis of Cough Sounds for Respiratory Disease Characterization

The paper presents an XAI-driven methodology for analyzing cough sounds to improve respiratory disease diagnosis, highlighting significan...

arXiv - Machine Learning · 3 min ·
[2602.15712] Criteria-first, semantics-later: reproducible structure discovery in image-based sciences
Computer Vision

[2602.15712] Criteria-first, semantics-later: reproducible structure discovery in image-based sciences

This article presents a novel approach to structure discovery in image-based sciences, advocating for a criteria-first methodology that s...

arXiv - AI · 4 min ·
[2508.11060] Counterfactual Survival Q-learning via Buckley-James Boosting, with Applications to ACTG 175 and CALGB 8923
Machine Learning

[2508.11060] Counterfactual Survival Q-learning via Buckley-James Boosting, with Applications to ACTG 175 and CALGB 8923

This article presents a novel Buckley-James Boost Q-learning framework designed to enhance treatment decision-making in clinical trials w...

arXiv - Machine Learning · 4 min ·
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Machine Learning Large Language Models Generative AI Natural Language Processing Computer Vision Robotics & Embodied AI

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