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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 ·
[2601.12910] SciCoQA: Quality Assurance for Scientific Paper--Code Alignment
Ai Safety

[2601.12910] SciCoQA: Quality Assurance for Scientific Paper--Code Alignment

Abstract page for arXiv paper 2601.12910: SciCoQA: Quality Assurance for Scientific Paper--Code Alignment

arXiv - AI · 3 min ·

All Content

[2603.23787] Digital Twin-Assisted Measurement Design and Channel Statistics Prediction
Data Science

[2603.23787] Digital Twin-Assisted Measurement Design and Channel Statistics Prediction

Abstract page for arXiv paper 2603.23787: Digital Twin-Assisted Measurement Design and Channel Statistics Prediction

arXiv - Machine Learning · 3 min ·
[2603.24562] Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction
Llms

[2603.24562] Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction

Abstract page for arXiv paper 2603.24562: Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction

arXiv - Machine Learning · 4 min ·
[2603.24503] Towards Safe Learning-Based Non-Linear Model Predictive Control through Recurrent Neural Network Modeling
Machine Learning

[2603.24503] Towards Safe Learning-Based Non-Linear Model Predictive Control through Recurrent Neural Network Modeling

Abstract page for arXiv paper 2603.24503: Towards Safe Learning-Based Non-Linear Model Predictive Control through Recurrent Neural Networ...

arXiv - Machine Learning · 3 min ·
[2603.24440] CUA-Suite: Massive Human-annotated Video Demonstrations for Computer-Use Agents
Data Science

[2603.24440] CUA-Suite: Massive Human-annotated Video Demonstrations for Computer-Use Agents

Abstract page for arXiv paper 2603.24440: CUA-Suite: Massive Human-annotated Video Demonstrations for Computer-Use Agents

arXiv - Machine Learning · 4 min ·
[2603.24431] Learning Response-Statistic Shifts and Parametric Roll Episodes from Wave--Vessel Time Series via LSTM Functional Models
Machine Learning

[2603.24431] Learning Response-Statistic Shifts and Parametric Roll Episodes from Wave--Vessel Time Series via LSTM Functional Models

Abstract page for arXiv paper 2603.24431: Learning Response-Statistic Shifts and Parametric Roll Episodes from Wave--Vessel Time Series v...

arXiv - Machine Learning · 4 min ·
[2603.24186] TsetlinWiSARD: On-Chip Training of Weightless Neural Networks using Tsetlin Automata on FPGAs
Machine Learning

[2603.24186] TsetlinWiSARD: On-Chip Training of Weightless Neural Networks using Tsetlin Automata on FPGAs

Abstract page for arXiv paper 2603.24186: TsetlinWiSARD: On-Chip Training of Weightless Neural Networks using Tsetlin Automata on FPGAs

arXiv - Machine Learning · 4 min ·
[2603.23961] GRMLR: Knowledge-Enhanced Small-Data Learning for Deep-Sea Cold Seep Stage Inference
Machine Learning

[2603.23961] GRMLR: Knowledge-Enhanced Small-Data Learning for Deep-Sea Cold Seep Stage Inference

Abstract page for arXiv paper 2603.23961: GRMLR: Knowledge-Enhanced Small-Data Learning for Deep-Sea Cold Seep Stage Inference

arXiv - Machine Learning · 4 min ·
Machine Learning

Is Python enough to start with Machine Learning in 2026?

I’m a beginner trying to get into ML. I know basic Python but I’m confused what to learn next. Should I focus on: Pandas / NumPy Or direc...

Reddit - ML Jobs · 1 min ·
Llms

How do you tell users your AI agent is down?

Serious question. If you're running an agent in production (customer support bot, coding assistant, data pipeline), what happens when it ...

Reddit - Artificial Intelligence · 1 min ·
Nlp

[P] Made a dataset but don't know what to do with it

This weekend I was looking for a dataset on major air crashes (I like planes) containing the text of their final reports. Surprisingly I ...

Reddit - Machine Learning · 1 min ·
[2603.18597] myMNIST: Benchmark of PETNN, KAN, and Classical Deep Learning Models for Burmese Handwritten Digit Recognition
Machine Learning

[2603.18597] myMNIST: Benchmark of PETNN, KAN, and Classical Deep Learning Models for Burmese Handwritten Digit Recognition

Abstract page for arXiv paper 2603.18597: myMNIST: Benchmark of PETNN, KAN, and Classical Deep Learning Models for Burmese Handwritten Di...

arXiv - AI · 4 min ·
[2506.17892] BeltCrack: the First Sequential-image Industrial Conveyor Belt Crack Detection Dataset and Its Baseline with Triple-domain Feature Learning
Machine Learning

[2506.17892] BeltCrack: the First Sequential-image Industrial Conveyor Belt Crack Detection Dataset and Its Baseline with Triple-domain Feature Learning

Abstract page for arXiv paper 2506.17892: BeltCrack: the First Sequential-image Industrial Conveyor Belt Crack Detection Dataset and Its ...

arXiv - Machine Learning · 4 min ·
[2509.02419] From Noisy Labels to Intrinsic Structure: A Geometric-Structural Dual-Guided Framework for Noise-Robust Medical Image Segmentation
Machine Learning

[2509.02419] From Noisy Labels to Intrinsic Structure: A Geometric-Structural Dual-Guided Framework for Noise-Robust Medical Image Segmentation

Abstract page for arXiv paper 2509.02419: From Noisy Labels to Intrinsic Structure: A Geometric-Structural Dual-Guided Framework for Nois...

arXiv - AI · 4 min ·
[2412.08686] LatentQA: Teaching LLMs to Decode Activations Into Natural Language
Llms

[2412.08686] LatentQA: Teaching LLMs to Decode Activations Into Natural Language

Abstract page for arXiv paper 2412.08686: LatentQA: Teaching LLMs to Decode Activations Into Natural Language

arXiv - Machine Learning · 4 min ·
[2505.22564] PRISM: Video Dataset Condensation with Progressive Refinement and Insertion for Sparse Motion
Data Science

[2505.22564] PRISM: Video Dataset Condensation with Progressive Refinement and Insertion for Sparse Motion

Abstract page for arXiv paper 2505.22564: PRISM: Video Dataset Condensation with Progressive Refinement and Insertion for Sparse Motion

arXiv - AI · 4 min ·
[2312.10618] Sparse Learning and Class Probability Estimation with Weighted Support Vector Machines
Machine Learning

[2312.10618] Sparse Learning and Class Probability Estimation with Weighted Support Vector Machines

Abstract page for arXiv paper 2312.10618: Sparse Learning and Class Probability Estimation with Weighted Support Vector Machines

arXiv - Machine Learning · 4 min ·
[2512.06737] Arc Gradient Descent: A Geometrically Motivated Gradient Descent-based Optimiser with Phase-Aware, User-Controlled Step Dynamics (proof-of-concept)
Machine Learning

[2512.06737] Arc Gradient Descent: A Geometrically Motivated Gradient Descent-based Optimiser with Phase-Aware, User-Controlled Step Dynamics (proof-of-concept)

Abstract page for arXiv paper 2512.06737: Arc Gradient Descent: A Geometrically Motivated Gradient Descent-based Optimiser with Phase-Awa...

arXiv - AI · 4 min ·
[2603.23448] Code Review Agent Benchmark
Ai Agents

[2603.23448] Code Review Agent Benchmark

Abstract page for arXiv paper 2603.23448: Code Review Agent Benchmark

arXiv - AI · 4 min ·
[2603.23375] Natural Language Interfaces for Spatial and Temporal Databases: A Comprehensive Overview of Methods, Taxonomy, and Future Directions
Nlp

[2603.23375] Natural Language Interfaces for Spatial and Temporal Databases: A Comprehensive Overview of Methods, Taxonomy, and Future Directions

Abstract page for arXiv paper 2603.23375: Natural Language Interfaces for Spatial and Temporal Databases: A Comprehensive Overview of Met...

arXiv - AI · 4 min ·
[2409.17517] Dataset Distillation-based Hybrid Federated Learning on Non-IID Data
Machine Learning

[2409.17517] Dataset Distillation-based Hybrid Federated Learning on Non-IID Data

Abstract page for arXiv paper 2409.17517: Dataset Distillation-based Hybrid Federated Learning on Non-IID Data

arXiv - AI · 4 min ·
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