Machine Learning

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...

Improving AI models’ ability to explain their predictions

AI Hiring Growth: AI and ML Hiring Surges 37% in Marche

[2603.25022] A Public Theory of Distillation Resistance via Constraint-Coupled Reasoning Architectures

Abstract page for arXiv paper 2603.25022: A Public Theory of Distillation Resistance via Constraint-Coupled Reasoning Architectures

[2603.24967] The Anatomy of Uncertainty in LLMs

Abstract page for arXiv paper 2603.24967: The Anatomy of Uncertainty in LLMs

[2603.24963] Design Once, Deploy at Scale: Template-Driven ML Development for Large Model Ecosystems

Abstract page for arXiv paper 2603.24963: Design Once, Deploy at Scale: Template-Driven ML Development for Large Model Ecosystems

[2603.24961] Can MLLMs Read Students' Minds? Unpacking Multimodal Error Analysis in Handwritten Math

Abstract page for arXiv paper 2603.24961: Can MLLMs Read Students' Minds? Unpacking Multimodal Error Analysis in Handwritten Math

[2603.24943] FinMCP-Bench: Benchmarking LLM Agents for Real-World Financial Tool Use under the Model Context Protocol

Abstract page for arXiv paper 2603.24943: FinMCP-Bench: Benchmarking LLM Agents for Real-World Financial Tool Use under the Model Context...

[2603.24933] Decoding Market Emotions in Cryptocurrency Tweets via Predictive Statement Classification with Machine Learning and Transformers

Abstract page for arXiv paper 2603.24933: Decoding Market Emotions in Cryptocurrency Tweets via Predictive Statement Classification with ...

[2603.24929] LogitScope: A Framework for Analyzing LLM Uncertainty Through Information Metrics

Abstract page for arXiv paper 2603.24929: LogitScope: A Framework for Analyzing LLM Uncertainty Through Information Metrics

[2603.24904] On the Foundations of Trustworthy Artificial Intelligence

Abstract page for arXiv paper 2603.24904: On the Foundations of Trustworthy Artificial Intelligence

[2603.24866] How Far Are Vision-Language Models from Constructing the Real World? A Benchmark for Physical Generative Reasoning

Abstract page for arXiv paper 2603.24866: How Far Are Vision-Language Models from Constructing the Real World? A Benchmark for Physical G...

[2603.24853] Resisting Humanization: Ethical Front-End Design Choices in AI for Sensitive Contexts

Abstract page for arXiv paper 2603.24853: Resisting Humanization: Ethical Front-End Design Choices in AI for Sensitive Contexts

[2603.24787] ReLope: KL-Regularized LoRA Probes for Multimodal LLM Routing

Abstract page for arXiv paper 2603.24787: ReLope: KL-Regularized LoRA Probes for Multimodal LLM Routing

[2603.24768] Supervising Ralph Wiggum: Exploring a Metacognitive Co-Regulation Agentic AI Loop for Engineering Design

Abstract page for arXiv paper 2603.24768: Supervising Ralph Wiggum: Exploring a Metacognitive Co-Regulation Agentic AI Loop for Engineeri...

[2603.24747] Formal Semantics for Agentic Tool Protocols: A Process Calculus Approach

Abstract page for arXiv paper 2603.24747: Formal Semantics for Agentic Tool Protocols: A Process Calculus Approach

[2603.24742] Trust as Monitoring: Evolutionary Dynamics of User Trust and AI Developer Behaviour

Abstract page for arXiv paper 2603.24742: Trust as Monitoring: Evolutionary Dynamics of User Trust and AI Developer Behaviour

[2603.24676] When Is Collective Intelligence a Lottery? Multi-Agent Scaling Laws for Memetic Drift in LLMs

Abstract page for arXiv paper 2603.24676: When Is Collective Intelligence a Lottery? Multi-Agent Scaling Laws for Memetic Drift in LLMs

[2603.24621] ARC-AGI-3: A New Challenge for Frontier Agentic Intelligence

Abstract page for arXiv paper 2603.24621: ARC-AGI-3: A New Challenge for Frontier Agentic Intelligence

CodexLib — compressed knowledge packs any AI can ingest instantly (100+ packs, 50 domains, REST API)

I built CodexLib (https://codexlib.io) — a curated repository of 100+ deep knowledge bases in compressed, AI-optimized format. The idea: ...

Claude's system prompt + XML tags is the most underused power combo right now

Most people just type into ChatGPT like it's Google. Claude with a structured system prompt using XML tags behaves like a completely diff...

Pretrained ADAM v2 weights [D]

Hi everyone, I'm a master's student working on anatomy-aware unsupervised anomaly detection in chest X-rays. My thesis uses ADAM v2 (Auto...

[for hire] Open for contracts – Veteran Data Scientist (AI / ML / OR) focused on delivering real‑world solutions.

Expert Data Science Consultant | 20-Year Track Record As a seasoned data scientist and fractional leader, I excel at tackling complex pro...