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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

Biggest Opportunity for Builders to monetise their agents

We’re working on something where AI agent builders can publish their agents and earn from day one. This model is profitable from day 1 so...

Reddit - Artificial Intelligence · 1 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 ·

All Content

Machine Learning

How to see through the opaqueness of pricing of tokens?

I was reflecting on this after reading articles like these The rise of China’s hottest new commodity: AI tokens More! More! More! Tech Wo...

Reddit - Artificial Intelligence · 1 min ·
Machine Learning

[D] On conferences and page limitations

What is your opinion on long appendices in conference papers? I am observing that appendix lengths in conference papers (ICML, NeurIPS, e...

Reddit - Machine Learning · 1 min ·
Llms

[R] Which place should I commit to ACL SRW or ICML workshop or AACL?

Hello everyone, I got ARR review set on March 12 with submitted paper. OA 3, 2.5, 2.5 and 2. Meta review is 2.5 the harsh (2) guy critici...

Reddit - Machine Learning · 1 min ·
Machine Learning

Retraining vs Fine-tuning or Transfer Learning? [D]

Hi! I am currently working on a project that is basically an e-commerce clickstream data. We take in data, find the intent of the user(XG...

Reddit - Machine Learning · 1 min ·
[2603.24343] Enhancing Efficiency and Performance in Deepfake Audio Detection through Neuron-level Dropin & Neuroplasticity Mechanisms
Llms

[2603.24343] Enhancing Efficiency and Performance in Deepfake Audio Detection through Neuron-level Dropin & Neuroplasticity Mechanisms

Abstract page for arXiv paper 2603.24343: Enhancing Efficiency and Performance in Deepfake Audio Detection through Neuron-level Dropin & ...

arXiv - AI · 4 min ·
[2603.11687] SemBench: A Universal Semantic Framework for LLM Evaluation
Llms

[2603.11687] SemBench: A Universal Semantic Framework for LLM Evaluation

Abstract page for arXiv paper 2603.11687: SemBench: A Universal Semantic Framework for LLM Evaluation

arXiv - AI · 4 min ·
[2603.16179] 360° Image Perception with MLLMs: A Comprehensive Benchmark and a Training-Free Method
Llms

[2603.16179] 360° Image Perception with MLLMs: A Comprehensive Benchmark and a Training-Free Method

Abstract page for arXiv paper 2603.16179: 360° Image Perception with MLLMs: A Comprehensive Benchmark and a Training-Free Method

arXiv - AI · 4 min ·
[2603.11583] UtilityMax Prompting: A Formal Framework for Multi-Objective Large Language Model Optimization
Llms

[2603.11583] UtilityMax Prompting: A Formal Framework for Multi-Objective Large Language Model Optimization

Abstract page for arXiv paper 2603.11583: UtilityMax Prompting: A Formal Framework for Multi-Objective Large Language Model Optimization

arXiv - AI · 3 min ·
[2603.11560] Theory of Dynamic Adaptive Coordination
Machine Learning

[2603.11560] Theory of Dynamic Adaptive Coordination

Abstract page for arXiv paper 2603.11560: Theory of Dynamic Adaptive Coordination

arXiv - AI · 3 min ·
[2603.11413] Evaluation format, not model capability, drives triage failure in the assessment of consumer health AI
Llms

[2603.11413] Evaluation format, not model capability, drives triage failure in the assessment of consumer health AI

Abstract page for arXiv paper 2603.11413: Evaluation format, not model capability, drives triage failure in the assessment of consumer he...

arXiv - AI · 4 min ·
[2603.16673] When Should a Robot Think? Resource-Aware Reasoning via Reinforcement Learning for Embodied Robotic Decision-Making
Llms

[2603.16673] When Should a Robot Think? Resource-Aware Reasoning via Reinforcement Learning for Embodied Robotic Decision-Making

Abstract page for arXiv paper 2603.16673: When Should a Robot Think? Resource-Aware Reasoning via Reinforcement Learning for Embodied Rob...

arXiv - AI · 4 min ·
[2603.06663] Graph-of-Mark: Promote Spatial Reasoning in Multimodal Language Models with Graph-Based Visual Prompting
Llms

[2603.06663] Graph-of-Mark: Promote Spatial Reasoning in Multimodal Language Models with Graph-Based Visual Prompting

Abstract page for arXiv paper 2603.06663: Graph-of-Mark: Promote Spatial Reasoning in Multimodal Language Models with Graph-Based Visual ...

arXiv - AI · 4 min ·
[2603.14294] Seeking Physics in Diffusion Noise
Machine Learning

[2603.14294] Seeking Physics in Diffusion Noise

Abstract page for arXiv paper 2603.14294: Seeking Physics in Diffusion Noise

arXiv - AI · 3 min ·
[2601.07325] Robust Bayesian Inference via Variational Approximations of Generalized Rho-Posteriors
Machine Learning

[2601.07325] Robust Bayesian Inference via Variational Approximations of Generalized Rho-Posteriors

Abstract page for arXiv paper 2601.07325: Robust Bayesian Inference via Variational Approximations of Generalized Rho-Posteriors

arXiv - Machine Learning · 3 min ·
[2512.22854] ByteLoom: Weaving Geometry-Consistent Human-Object Interactions through Progressive Curriculum Learning
Machine Learning

[2512.22854] ByteLoom: Weaving Geometry-Consistent Human-Object Interactions through Progressive Curriculum Learning

Abstract page for arXiv paper 2512.22854: ByteLoom: Weaving Geometry-Consistent Human-Object Interactions through Progressive Curriculum ...

arXiv - Machine Learning · 4 min ·
[2512.05245] STAR-GO: Improving Protein Function Prediction by Learning to Hierarchically Integrate Ontology-Informed Semantic Embeddings
Machine Learning

[2512.05245] STAR-GO: Improving Protein Function Prediction by Learning to Hierarchically Integrate Ontology-Informed Semantic Embeddings

Abstract page for arXiv paper 2512.05245: STAR-GO: Improving Protein Function Prediction by Learning to Hierarchically Integrate Ontology...

arXiv - Machine Learning · 4 min ·
[2511.14427] Self-Supervised Multisensory Pretraining for Contact-Rich Robot Reinforcement Learning
Machine Learning

[2511.14427] Self-Supervised Multisensory Pretraining for Contact-Rich Robot Reinforcement Learning

Abstract page for arXiv paper 2511.14427: Self-Supervised Multisensory Pretraining for Contact-Rich Robot Reinforcement Learning

arXiv - Machine Learning · 4 min ·
[2601.08881] TAG-MoE: Task-Aware Gating for Unified Generative Mixture-of-Experts
Machine Learning

[2601.08881] TAG-MoE: Task-Aware Gating for Unified Generative Mixture-of-Experts

Abstract page for arXiv paper 2601.08881: TAG-MoE: Task-Aware Gating for Unified Generative Mixture-of-Experts

arXiv - AI · 4 min ·
[2511.04454] Fitting Reinforcement Learning Model to Behavioral Data under Bandits
Machine Learning

[2511.04454] Fitting Reinforcement Learning Model to Behavioral Data under Bandits

Abstract page for arXiv paper 2511.04454: Fitting Reinforcement Learning Model to Behavioral Data under Bandits

arXiv - Machine Learning · 4 min ·
[2601.06394] Context Matters: Peer-Aware Student Behavioral Engagement Measurement via VLM Action Parsing and LLM Sequence Classification
Llms

[2601.06394] Context Matters: Peer-Aware Student Behavioral Engagement Measurement via VLM Action Parsing and LLM Sequence Classification

Abstract page for arXiv paper 2601.06394: Context Matters: Peer-Aware Student Behavioral Engagement Measurement via VLM Action Parsing an...

arXiv - AI · 4 min ·
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