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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 ·
Ai Infrastructure

We built a fully deterministic control layer for agents. Would love feedback. No pitch

Most of the current “AI security” stack seems focused on: • prompts • identities • outputs After an agent deleted a prod database on me a...

Reddit - Artificial Intelligence · 1 min ·
Llms

If AI is really making us more productive... why does it feel like we are working more, not less...?

The promise of AI was the ultimate system optimisation: Efficiency. On paper, the tools are delivering something similar to what they pro...

Reddit - Artificial Intelligence · 1 min ·

All Content

[2603.20397] KV Cache Optimization Strategies for Scalable and Efficient LLM Inference
Llms

[2603.20397] KV Cache Optimization Strategies for Scalable and Efficient LLM Inference

Abstract page for arXiv paper 2603.20397: KV Cache Optimization Strategies for Scalable and Efficient LLM Inference

arXiv - Machine Learning · 4 min ·
[2603.20392] SymCircuit: Bayesian Structure Inference for Tractable Probabilistic Circuits via Entropy-Regularized Reinforcement Learning
Machine Learning

[2603.20392] SymCircuit: Bayesian Structure Inference for Tractable Probabilistic Circuits via Entropy-Regularized Reinforcement Learning

Abstract page for arXiv paper 2603.20392: SymCircuit: Bayesian Structure Inference for Tractable Probabilistic Circuits via Entropy-Regul...

arXiv - Machine Learning · 3 min ·
[2603.20357] Memory poisoning and secure multi-agent systems
Llms

[2603.20357] Memory poisoning and secure multi-agent systems

Abstract page for arXiv paper 2603.20357: Memory poisoning and secure multi-agent systems

arXiv - AI · 4 min ·
[2603.20324] When Agents Disagree: The Selection Bottleneck in Multi-Agent LLM Pipelines
Llms

[2603.20324] When Agents Disagree: The Selection Bottleneck in Multi-Agent LLM Pipelines

Abstract page for arXiv paper 2603.20324: When Agents Disagree: The Selection Bottleneck in Multi-Agent LLM Pipelines

arXiv - AI · 4 min ·
[2603.20296] Collaborative Adaptive Curriculum for Progressive Knowledge Distillation
Ai Infrastructure

[2603.20296] Collaborative Adaptive Curriculum for Progressive Knowledge Distillation

Abstract page for arXiv paper 2603.20296: Collaborative Adaptive Curriculum for Progressive Knowledge Distillation

arXiv - Machine Learning · 3 min ·
[2603.20281] On the Fragility of AI Agent Collusion
Llms

[2603.20281] On the Fragility of AI Agent Collusion

Abstract page for arXiv paper 2603.20281: On the Fragility of AI Agent Collusion

arXiv - AI · 3 min ·
[2603.20256] SciNav: A General Agent Framework for Scientific Coding Tasks
Llms

[2603.20256] SciNav: A General Agent Framework for Scientific Coding Tasks

Abstract page for arXiv paper 2603.20256: SciNav: A General Agent Framework for Scientific Coding Tasks

arXiv - Machine Learning · 4 min ·
[2603.20250] Developing Machine Learning-Based Watch-to-Warning Severe Weather Guidance from the Warn-on-Forecast System
Machine Learning

[2603.20250] Developing Machine Learning-Based Watch-to-Warning Severe Weather Guidance from the Warn-on-Forecast System

Abstract page for arXiv paper 2603.20250: Developing Machine Learning-Based Watch-to-Warning Severe Weather Guidance from the Warn-on-For...

arXiv - Machine Learning · 4 min ·
[2603.20246] Decoding the decoder: Contextual sequence-to-sequence modeling for intracortical speech decoding
Llms

[2603.20246] Decoding the decoder: Contextual sequence-to-sequence modeling for intracortical speech decoding

Abstract page for arXiv paper 2603.20246: Decoding the decoder: Contextual sequence-to-sequence modeling for intracortical speech decoding

arXiv - AI · 4 min ·
[2603.20235] Writing literature reviews with AI: principles, hurdles and some lessons learned
Llms

[2603.20235] Writing literature reviews with AI: principles, hurdles and some lessons learned

Abstract page for arXiv paper 2603.20235: Writing literature reviews with AI: principles, hurdles and some lessons learned

arXiv - AI · 4 min ·
[2603.20223] Inference Energy and Latency in AI-Mediated Education: A Learning-per-Watt Analysis of Edge and Cloud Models
Machine Learning

[2603.20223] Inference Energy and Latency in AI-Mediated Education: A Learning-per-Watt Analysis of Edge and Cloud Models

Abstract page for arXiv paper 2603.20223: Inference Energy and Latency in AI-Mediated Education: A Learning-per-Watt Analysis of Edge and...

arXiv - Machine Learning · 4 min ·
[2603.22096] GSEM: Graph-based Self-Evolving Memory for Experience Augmented Clinical Reasoning
Llms

[2603.22096] GSEM: Graph-based Self-Evolving Memory for Experience Augmented Clinical Reasoning

Abstract page for arXiv paper 2603.22096: GSEM: Graph-based Self-Evolving Memory for Experience Augmented Clinical Reasoning

arXiv - AI · 3 min ·
[2603.22083] A Context Engineering Framework for Improving Enterprise AI Agents based on Digital-Twin MDP
Llms

[2603.22083] A Context Engineering Framework for Improving Enterprise AI Agents based on Digital-Twin MDP

Abstract page for arXiv paper 2603.22083: A Context Engineering Framework for Improving Enterprise AI Agents based on Digital-Twin MDP

arXiv - AI · 4 min ·
[2603.21925] Guideline-grounded retrieval-augmented generation for ophthalmic clinical decision support
Nlp

[2603.21925] Guideline-grounded retrieval-augmented generation for ophthalmic clinical decision support

Abstract page for arXiv paper 2603.21925: Guideline-grounded retrieval-augmented generation for ophthalmic clinical decision support

arXiv - AI · 4 min ·
[2603.21854] Reasoning or Rhetoric? An Empirical Analysis of Moral Reasoning Explanations in Large Language Models
Llms

[2603.21854] Reasoning or Rhetoric? An Empirical Analysis of Moral Reasoning Explanations in Large Language Models

Abstract page for arXiv paper 2603.21854: Reasoning or Rhetoric? An Empirical Analysis of Moral Reasoning Explanations in Large Language ...

arXiv - AI · 4 min ·
[2603.21696] MIND: Multi-agent inference for negotiation dialogue in travel planning
Machine Learning

[2603.21696] MIND: Multi-agent inference for negotiation dialogue in travel planning

Abstract page for arXiv paper 2603.21696: MIND: Multi-agent inference for negotiation dialogue in travel planning

arXiv - AI · 3 min ·
[2603.21690] AI Token Futures Market: Commoditization of Compute and Derivatives Contract Design
Llms

[2603.21690] AI Token Futures Market: Commoditization of Compute and Derivatives Contract Design

Abstract page for arXiv paper 2603.21690: AI Token Futures Market: Commoditization of Compute and Derivatives Contract Design

arXiv - AI · 3 min ·
[2603.21630] EnterpriseLab: A Full-Stack Platform for developing and deploying agents in Enterprises
Llms

[2603.21630] EnterpriseLab: A Full-Stack Platform for developing and deploying agents in Enterprises

Abstract page for arXiv paper 2603.21630: EnterpriseLab: A Full-Stack Platform for developing and deploying agents in Enterprises

arXiv - AI · 3 min ·
[2603.21558] Stabilizing Iterative Self-Training with Verified Reasoning via Symbolic Recursive Self-Alignment
Machine Learning

[2603.21558] Stabilizing Iterative Self-Training with Verified Reasoning via Symbolic Recursive Self-Alignment

Abstract page for arXiv paper 2603.21558: Stabilizing Iterative Self-Training with Verified Reasoning via Symbolic Recursive Self-Alignment

arXiv - AI · 4 min ·
[2603.21415] Silent Commitment Failure in Instruction-Tuned Language Models: Evidence of Governability Divergence Across Architectures
Llms

[2603.21415] Silent Commitment Failure in Instruction-Tuned Language Models: Evidence of Governability Divergence Across Architectures

Abstract page for arXiv paper 2603.21415: Silent Commitment Failure in Instruction-Tuned Language Models: Evidence of Governability Diver...

arXiv - Machine Learning · 4 min ·
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