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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

Trials and tribulations fine-tuning & deploying Gemma-4 [P]

Hey all, Our ML team spent some time this week getting training and deployments working for Gemma-4, and wanted to document all the thing...

Reddit - Machine Learning · 1 min ·
Llms

GPT-4 vs Claude vs Gemini for coding — honest breakdown after 3 months of daily use

I am a solo developer who has been using all three seriously. Here is what I actually think: GPT-4o — Strengths: Large context window, st...

Reddit - Artificial Intelligence · 1 min ·

All Content

[2602.13665] HyFunc: Accelerating LLM-based Function Calls for Agentic AI through Hybrid-Model Cascade and Dynamic Templating
Llms

[2602.13665] HyFunc: Accelerating LLM-based Function Calls for Agentic AI through Hybrid-Model Cascade and Dynamic Templating

The paper presents HyFunc, a framework designed to enhance the efficiency of LLM-based function calls in agentic AI by reducing computati...

arXiv - AI · 4 min ·
[2602.13416] High-Resolution Climate Projections Using Diffusion-Based Downscaling of a Lightweight Climate Emulator
Machine Learning

[2602.13416] High-Resolution Climate Projections Using Diffusion-Based Downscaling of a Lightweight Climate Emulator

This article presents a novel approach to high-resolution climate projections using a diffusion-based downscaling framework applied to a ...

arXiv - Machine Learning · 4 min ·
[2602.13595] The Quantization Trap: Breaking Linear Scaling Laws in Multi-Hop Reasoning
Machine Learning

[2602.13595] The Quantization Trap: Breaking Linear Scaling Laws in Multi-Hop Reasoning

This paper explores the limitations of neural scaling laws in AI, revealing a 'quantization trap' where reducing numerical precision can ...

arXiv - AI · 3 min ·
[2602.13594] Hippocampus: An Efficient and Scalable Memory Module for Agentic AI
Llms

[2602.13594] Hippocampus: An Efficient and Scalable Memory Module for Agentic AI

The paper introduces Hippocampus, a scalable memory module designed for agentic AI, enhancing retrieval speed and storage efficiency comp...

arXiv - AI · 3 min ·
[2602.13568] Who Do LLMs Trust? Human Experts Matter More Than Other LLMs
Llms

[2602.13568] Who Do LLMs Trust? Human Experts Matter More Than Other LLMs

This paper explores how large language models (LLMs) prioritize feedback from human experts over other LLMs in decision-making tasks, rev...

arXiv - AI · 3 min ·
[2602.13473] NeuroWeaver: An Autonomous Evolutionary Agent for Exploring the Programmatic Space of EEG Analysis Pipelines
Llms

[2602.13473] NeuroWeaver: An Autonomous Evolutionary Agent for Exploring the Programmatic Space of EEG Analysis Pipelines

NeuroWeaver is an autonomous evolutionary agent designed to optimize EEG analysis pipelines, addressing data constraints and computationa...

arXiv - AI · 3 min ·
[2602.13319] Situation Graph Prediction: Structured Perspective Inference for User Modeling
Machine Learning

[2602.13319] Situation Graph Prediction: Structured Perspective Inference for User Modeling

The paper presents Situation Graph Prediction (SGP), a novel approach for modeling user perspectives by reconstructing structured represe...

arXiv - AI · 3 min ·
[2602.13283] Accuracy Standards for AI at Work vs. Personal Life: Evidence from an Online Survey
Machine Learning

[2602.13283] Accuracy Standards for AI at Work vs. Personal Life: Evidence from an Online Survey

This article examines how individuals prioritize accuracy in AI tools differently in professional versus personal contexts, based on an o...

arXiv - AI · 4 min ·
[2602.13262] General learned delegation by clones
Llms

[2602.13262] General learned delegation by clones

The paper presents SELFCEST, a novel approach that enhances language models by enabling them to create clones for improved reasoning effi...

arXiv - AI · 3 min ·
[2602.13240] AST-PAC: AST-guided Membership Inference for Code
Llms

[2602.13240] AST-PAC: AST-guided Membership Inference for Code

The paper introduces AST-PAC, a novel method for membership inference attacks on code models, leveraging Abstract Syntax Trees to enhance...

arXiv - AI · 3 min ·
[2602.13237] NL2LOGIC: AST-Guided Translation of Natural Language into First-Order Logic with Large Language Models
Llms

[2602.13237] NL2LOGIC: AST-Guided Translation of Natural Language into First-Order Logic with Large Language Models

NL2LOGIC presents a novel framework for translating natural language into first-order logic using large language models, enhancing accura...

arXiv - AI · 4 min ·
[2602.13215] When to Think Fast and Slow? AMOR: Entropy-Based Metacognitive Gate for Dynamic SSM-Attention Switching
Machine Learning

[2602.13215] When to Think Fast and Slow? AMOR: Entropy-Based Metacognitive Gate for Dynamic SSM-Attention Switching

The paper presents AMOR, an entropy-based metacognitive gate that enhances attention switching in state space models, improving efficienc...

arXiv - AI · 3 min ·
artificial intelligence platforms Market Trends and Outlook
Machine Learning

artificial intelligence platforms Market Trends and Outlook

The global artificial intelligence platforms market is projected to grow from USD 18.30 billion in 2025 to USD 494.14 billion by 2035, wi...

AI News - General · 4 min ·
Machine Learning

[P] Qwen3.5 parameter size rumored ~400B

Rumors suggest that the Qwen3.5 model may have a parameter size of approximately 400 billion, raising discussions about the implications ...

Reddit - Machine Learning · 1 min ·
The Small English Town Swept Up in the Global AI Arms Race | WIRED
Ai Infrastructure

The Small English Town Swept Up in the Global AI Arms Race | WIRED

Residents of Potters Bar protest against a planned data center on green belt land, highlighting tensions between AI infrastructure demand...

Wired - AI · 11 min ·
AI fears are hitting software stocks the hardest. Citi sees a buying opportunity in many names
Ai Startups

AI fears are hitting software stocks the hardest. Citi sees a buying opportunity in many names

Citi identifies potential buying opportunities in software stocks, which have recently declined due to fears of AI disruption. The firm h...

AI Tools & Products · 3 min ·
Pentagon threatens to cut off Anthropic in AI safeguards dispute: Report
Ai Safety

Pentagon threatens to cut off Anthropic in AI safeguards dispute: Report

The Pentagon is threatening to sever ties with AI company Anthropic due to its refusal to allow unrestricted military use of its AI model...

AI Tools & Products · 2 min ·
AI: ‘The machines don’t think’
Ai Safety

AI: ‘The machines don’t think’

Temese Szalai's talk at the Astoria Public Library demystifies AI, focusing on its workings and limitations rather than usage, aiming to ...

AI Tools & Products · 5 min ·
UGA launches AI pilot program for students
Ai Startups

UGA launches AI pilot program for students

The University of Georgia is launching an $800,000 pilot program to provide students with access to premium AI tools like ChatGPT Edu and...

AI Tools & Products · 6 min ·
Could India challenge tech boss power at Delhi AI Impact Summit?
Ai Infrastructure

Could India challenge tech boss power at Delhi AI Impact Summit?

The AI Impact Summit in Delhi highlights India's potential to reshape the global AI landscape, emphasizing the need for inclusivity and l...

AI Tools & Products · 6 min ·
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