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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] Looking for definition of open-world ish learning problem

Hello! Recently I did a project where I initially had around 30 target classes. But at inference, the model had to be able to handle a lo...

Reddit - Machine Learning · 1 min ·
Mystery Shopping Meets Machine Learning: Can Algorithms Become the Ultimate Customer Experience Auditor?
Machine Learning

Mystery Shopping Meets Machine Learning: Can Algorithms Become the Ultimate Customer Experience Auditor?

Customer expectations across Africa are shifting faster than most organisations can track. A single inconsistent interaction can ignite a...

AI News - General · 8 min ·

All Content

[2509.01388] End-to-End Low-Level Neural Control of an Industrial-Grade 6D Magnetic Levitation System
Machine Learning

[2509.01388] End-to-End Low-Level Neural Control of an Industrial-Grade 6D Magnetic Levitation System

Abstract page for arXiv paper 2509.01388: End-to-End Low-Level Neural Control of an Industrial-Grade 6D Magnetic Levitation System

arXiv - AI · 4 min ·
[2508.21435] MedShift: Implicit Conditional Transport for X-Ray Domain Adaptation
Machine Learning

[2508.21435] MedShift: Implicit Conditional Transport for X-Ray Domain Adaptation

Abstract page for arXiv paper 2508.21435: MedShift: Implicit Conditional Transport for X-Ray Domain Adaptation

arXiv - AI · 4 min ·
[2505.21545] Corruption-Aware Training of Latent Video Diffusion Models for Robust Text-to-Video Generation
Machine Learning

[2505.21545] Corruption-Aware Training of Latent Video Diffusion Models for Robust Text-to-Video Generation

Abstract page for arXiv paper 2505.21545: Corruption-Aware Training of Latent Video Diffusion Models for Robust Text-to-Video Generation

arXiv - Machine Learning · 4 min ·
[2505.19046] When Models Don't Collapse: On the Consistency of Iterative MLE
Machine Learning

[2505.19046] When Models Don't Collapse: On the Consistency of Iterative MLE

Abstract page for arXiv paper 2505.19046: When Models Don't Collapse: On the Consistency of Iterative MLE

arXiv - Machine Learning · 4 min ·
[2508.19897] The Information Dynamics of Generative Diffusion
Machine Learning

[2508.19897] The Information Dynamics of Generative Diffusion

Abstract page for arXiv paper 2508.19897: The Information Dynamics of Generative Diffusion

arXiv - Machine Learning · 4 min ·
[2508.15090] Mapping the Course for Prompt-based Structured Prediction
Llms

[2508.15090] Mapping the Course for Prompt-based Structured Prediction

Abstract page for arXiv paper 2508.15090: Mapping the Course for Prompt-based Structured Prediction

arXiv - AI · 3 min ·
[2508.00307] Acoustic Imaging for Low-SNR UAV Detection: Dense Beamformed Energy Maps and U-Net SELD
Machine Learning

[2508.00307] Acoustic Imaging for Low-SNR UAV Detection: Dense Beamformed Energy Maps and U-Net SELD

Abstract page for arXiv paper 2508.00307: Acoustic Imaging for Low-SNR UAV Detection: Dense Beamformed Energy Maps and U-Net SELD

arXiv - AI · 4 min ·
[2411.12135] Exact Risk Curves of signSGD in High-Dimensions: Quantifying Preconditioning and Noise-Compression Effects
Machine Learning

[2411.12135] Exact Risk Curves of signSGD in High-Dimensions: Quantifying Preconditioning and Noise-Compression Effects

Abstract page for arXiv paper 2411.12135: Exact Risk Curves of signSGD in High-Dimensions: Quantifying Preconditioning and Noise-Compress...

arXiv - Machine Learning · 3 min ·
[2507.20423] CodeNER: Code Prompting for Named Entity Recognition
Llms

[2507.20423] CodeNER: Code Prompting for Named Entity Recognition

Abstract page for arXiv paper 2507.20423: CodeNER: Code Prompting for Named Entity Recognition

arXiv - AI · 4 min ·
[2410.13874] Chain-Oriented Objective Logic with Neural Network Feedback Control and Cascade Filtering for Dynamic Multi-DSL Regulation
Machine Learning

[2410.13874] Chain-Oriented Objective Logic with Neural Network Feedback Control and Cascade Filtering for Dynamic Multi-DSL Regulation

Abstract page for arXiv paper 2410.13874: Chain-Oriented Objective Logic with Neural Network Feedback Control and Cascade Filtering for D...

arXiv - Machine Learning · 4 min ·
[2507.14237] U-DREAM: Unsupervised Dereverberation guided by a Reverberation Model
Machine Learning

[2507.14237] U-DREAM: Unsupervised Dereverberation guided by a Reverberation Model

Abstract page for arXiv paper 2507.14237: U-DREAM: Unsupervised Dereverberation guided by a Reverberation Model

arXiv - AI · 3 min ·
[2410.12476] Retrieval-Reasoning Large Language Model-based Synthetic Clinical Trial Generation
Llms

[2410.12476] Retrieval-Reasoning Large Language Model-based Synthetic Clinical Trial Generation

Abstract page for arXiv paper 2410.12476: Retrieval-Reasoning Large Language Model-based Synthetic Clinical Trial Generation

arXiv - Machine Learning · 4 min ·
[2506.14861] BMFM-RNA: whole-cell expression decoding improves transcriptomic foundation models
Llms

[2506.14861] BMFM-RNA: whole-cell expression decoding improves transcriptomic foundation models

Abstract page for arXiv paper 2506.14861: BMFM-RNA: whole-cell expression decoding improves transcriptomic foundation models

arXiv - AI · 4 min ·
[2506.13734] Instruction Following by Principled Boosting Attention of Large Language Models
Llms

[2506.13734] Instruction Following by Principled Boosting Attention of Large Language Models

Abstract page for arXiv paper 2506.13734: Instruction Following by Principled Boosting Attention of Large Language Models

arXiv - Machine Learning · 4 min ·
[2506.12104] DRIFT: Dynamic Rule-Based Defense with Injection Isolation for Securing LLM Agents
Llms

[2506.12104] DRIFT: Dynamic Rule-Based Defense with Injection Isolation for Securing LLM Agents

Abstract page for arXiv paper 2506.12104: DRIFT: Dynamic Rule-Based Defense with Injection Isolation for Securing LLM Agents

arXiv - AI · 4 min ·
[2505.24840] The LLM Bottleneck: Why Open-Source Vision LLMs Struggle with Hierarchical Visual Recognition
Llms

[2505.24840] The LLM Bottleneck: Why Open-Source Vision LLMs Struggle with Hierarchical Visual Recognition

Abstract page for arXiv paper 2505.24840: The LLM Bottleneck: Why Open-Source Vision LLMs Struggle with Hierarchical Visual Recognition

arXiv - Machine Learning · 3 min ·
[2306.04810] Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry
Machine Learning

[2306.04810] Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry

Abstract page for arXiv paper 2306.04810: Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neur...

arXiv - Machine Learning · 4 min ·
[2502.05228] Physics-Informed Evolution: An Evolutionary Framework for Solving Quantum Control Problems Involving the Schrödinger Equation
Machine Learning

[2502.05228] Physics-Informed Evolution: An Evolutionary Framework for Solving Quantum Control Problems Involving the Schrödinger Equation

Abstract page for arXiv paper 2502.05228: Physics-Informed Evolution: An Evolutionary Framework for Solving Quantum Control Problems Invo...

arXiv - AI · 4 min ·
[2006.09534] Discriminative reconstruction via simultaneous dense and sparse coding
Machine Learning

[2006.09534] Discriminative reconstruction via simultaneous dense and sparse coding

Abstract page for arXiv paper 2006.09534: Discriminative reconstruction via simultaneous dense and sparse coding

arXiv - Machine Learning · 4 min ·
[2410.15281] LLM4AD: Large Language Models for Autonomous Driving -- Concept, Review, Benchmark, Experiments, and Future Trends
Llms

[2410.15281] LLM4AD: Large Language Models for Autonomous Driving -- Concept, Review, Benchmark, Experiments, and Future Trends

Abstract page for arXiv paper 2410.15281: LLM4AD: Large Language Models for Autonomous Driving -- Concept, Review, Benchmark, Experiments...

arXiv - AI · 4 min ·
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