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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 ·
Machine Learning

[D] Physicist-turned-ML-engineer looking to get into ML research. What's worth working on and where can I contribute most?

After years of focus on building products, I'm carving out time to do independent research again and trying to find the right direction. ...

Reddit - Machine Learning · 1 min ·
PSA: Anyone with a link can view your Granola notes by default | The Verge
Machine Learning

PSA: Anyone with a link can view your Granola notes by default | The Verge

Granola, the AI-powered note-taking app, makes your notes viewable by anyone with a link by default. It also turns on AI training for any...

The Verge - AI · 5 min ·

All Content

[2603.25373] Hessian-informed machine learning interatomic potential towards bridging theory and experiments
Machine Learning

[2603.25373] Hessian-informed machine learning interatomic potential towards bridging theory and experiments

Abstract page for arXiv paper 2603.25373: Hessian-informed machine learning interatomic potential towards bridging theory and experiments

arXiv - Machine Learning · 4 min ·
[2603.25342] From Intent to Evidence: A Categorical Approach for Structural Evaluation of Deep Research Agents
Machine Learning

[2603.25342] From Intent to Evidence: A Categorical Approach for Structural Evaluation of Deep Research Agents

Abstract page for arXiv paper 2603.25342: From Intent to Evidence: A Categorical Approach for Structural Evaluation of Deep Research Agents

arXiv - Machine Learning · 4 min ·
[2603.25325] How Pruning Reshapes Features: Sparse Autoencoder Analysis of Weight-Pruned Language Models
Llms

[2603.25325] How Pruning Reshapes Features: Sparse Autoencoder Analysis of Weight-Pruned Language Models

Abstract page for arXiv paper 2603.25325: How Pruning Reshapes Features: Sparse Autoencoder Analysis of Weight-Pruned Language Models

arXiv - AI · 4 min ·
[2603.25241] Offline Decision Transformers for Neural Combinatorial Optimization: Surpassing Heuristics on the Traveling Salesman Problem
Machine Learning

[2603.25241] Offline Decision Transformers for Neural Combinatorial Optimization: Surpassing Heuristics on the Traveling Salesman Problem

Abstract page for arXiv paper 2603.25241: Offline Decision Transformers for Neural Combinatorial Optimization: Surpassing Heuristics on t...

arXiv - Machine Learning · 3 min ·
[2603.25221] Gap Safe Screening Rules for Fast Training of Robust Support Vector Machines under Feature Noise
Machine Learning

[2603.25221] Gap Safe Screening Rules for Fast Training of Robust Support Vector Machines under Feature Noise

Abstract page for arXiv paper 2603.25221: Gap Safe Screening Rules for Fast Training of Robust Support Vector Machines under Feature Noise

arXiv - Machine Learning · 4 min ·
[2603.24724] Is Geometry Enough? An Evaluation of Landmark-Based Gaze Estimation
Machine Learning

[2603.24724] Is Geometry Enough? An Evaluation of Landmark-Based Gaze Estimation

Abstract page for arXiv paper 2603.24724: Is Geometry Enough? An Evaluation of Landmark-Based Gaze Estimation

arXiv - AI · 4 min ·
[2603.24721] Scalable Object Relation Encoding for Better 3D Spatial Reasoning in Large Language Models
Llms

[2603.24721] Scalable Object Relation Encoding for Better 3D Spatial Reasoning in Large Language Models

Abstract page for arXiv paper 2603.24721: Scalable Object Relation Encoding for Better 3D Spatial Reasoning in Large Language Models

arXiv - Machine Learning · 4 min ·
[2603.25204] A CDF-First Framework for Free-Form Density Estimation
Machine Learning

[2603.25204] A CDF-First Framework for Free-Form Density Estimation

Abstract page for arXiv paper 2603.25204: A CDF-First Framework for Free-Form Density Estimation

arXiv - Machine Learning · 3 min ·
[2603.24692] Reconstructing Spiking Neural Networks Using a Single Neuron with Autapses
Machine Learning

[2603.24692] Reconstructing Spiking Neural Networks Using a Single Neuron with Autapses

Abstract page for arXiv paper 2603.24692: Reconstructing Spiking Neural Networks Using a Single Neuron with Autapses

arXiv - AI · 4 min ·
[2603.25186] Knowledge-Guided Retrieval-Augmented Generation for Zero-Shot Psychiatric Data: Privacy Preserving Synthetic Data Generation
Llms

[2603.25186] Knowledge-Guided Retrieval-Augmented Generation for Zero-Shot Psychiatric Data: Privacy Preserving Synthetic Data Generation

Abstract page for arXiv paper 2603.25186: Knowledge-Guided Retrieval-Augmented Generation for Zero-Shot Psychiatric Data: Privacy Preserv...

arXiv - Machine Learning · 4 min ·
[2603.24651] When Consistency Becomes Bias: Interviewer Effects in Semi-Structured Clinical Interviews
Llms

[2603.24651] When Consistency Becomes Bias: Interviewer Effects in Semi-Structured Clinical Interviews

Abstract page for arXiv paper 2603.24651: When Consistency Becomes Bias: Interviewer Effects in Semi-Structured Clinical Interviews

arXiv - AI · 3 min ·
[2603.25157] Vision Hopfield Memory Networks
Machine Learning

[2603.25157] Vision Hopfield Memory Networks

Abstract page for arXiv paper 2603.25157: Vision Hopfield Memory Networks

arXiv - AI · 4 min ·
[2603.25184] Train at Moving Edge: Online-Verified Prompt Selection for Efficient RL Training of Large Reasoning Model
Llms

[2603.25184] Train at Moving Edge: Online-Verified Prompt Selection for Efficient RL Training of Large Reasoning Model

Abstract page for arXiv paper 2603.25184: Train at Moving Edge: Online-Verified Prompt Selection for Efficient RL Training of Large Reaso...

arXiv - AI · 4 min ·
[2603.25111] SEVerA: Verified Synthesis of Self-Evolving Agents
Llms

[2603.25111] SEVerA: Verified Synthesis of Self-Evolving Agents

Abstract page for arXiv paper 2603.25111: SEVerA: Verified Synthesis of Self-Evolving Agents

arXiv - Machine Learning · 4 min ·
[2603.25093] Process-Aware AI for Rainfall-Runoff Modeling: A Mass-Conserving Neural Framework with Hydrological Process Constraints
Machine Learning

[2603.25093] Process-Aware AI for Rainfall-Runoff Modeling: A Mass-Conserving Neural Framework with Hydrological Process Constraints

Abstract page for arXiv paper 2603.25093: Process-Aware AI for Rainfall-Runoff Modeling: A Mass-Conserving Neural Framework with Hydrolog...

arXiv - Machine Learning · 4 min ·
[2603.24629] Sketch2Simulation: Automating Flowsheet Generation via Multi Agent Large Language Models
Llms

[2603.24629] Sketch2Simulation: Automating Flowsheet Generation via Multi Agent Large Language Models

Abstract page for arXiv paper 2603.24629: Sketch2Simulation: Automating Flowsheet Generation via Multi Agent Large Language Models

arXiv - AI · 4 min ·
[2603.24618] Causal AI For AMS Circuit Design: Interpretable Parameter Effects Analysis
Machine Learning

[2603.24618] Causal AI For AMS Circuit Design: Interpretable Parameter Effects Analysis

Abstract page for arXiv paper 2603.24618: Causal AI For AMS Circuit Design: Interpretable Parameter Effects Analysis

arXiv - Machine Learning · 3 min ·
[2603.25062] SIGMA: Structure-Invariant Generative Molecular Alignment for Chemical Language Models via Autoregressive Contrastive Learning
Llms

[2603.25062] SIGMA: Structure-Invariant Generative Molecular Alignment for Chemical Language Models via Autoregressive Contrastive Learning

Abstract page for arXiv paper 2603.25062: SIGMA: Structure-Invariant Generative Molecular Alignment for Chemical Language Models via Auto...

arXiv - Machine Learning · 3 min ·
[2603.25047] The Order Is The Message
Machine Learning

[2603.25047] The Order Is The Message

Abstract page for arXiv paper 2603.25047: The Order Is The Message

arXiv - Machine Learning · 3 min ·
[2603.25040] Intern-S1-Pro: Scientific Multimodal Foundation Model at Trillion Scale
Llms

[2603.25040] Intern-S1-Pro: Scientific Multimodal Foundation Model at Trillion Scale

Abstract page for arXiv paper 2603.25040: Intern-S1-Pro: Scientific Multimodal Foundation Model at Trillion Scale

arXiv - Machine Learning · 5 min ·
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