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...
GPUs, training clusters, MLOps, and deployment
UMKC announces a new Master of Science in Artificial Intelligence program aimed at addressing workforce demand for AI expertise, set to l...
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...
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...
The paper presents HyFunc, a framework designed to enhance the efficiency of LLM-based function calls in agentic AI by reducing computati...
This article presents a novel approach to high-resolution climate projections using a diffusion-based downscaling framework applied to a ...
This paper explores the limitations of neural scaling laws in AI, revealing a 'quantization trap' where reducing numerical precision can ...
The paper introduces Hippocampus, a scalable memory module designed for agentic AI, enhancing retrieval speed and storage efficiency comp...
This paper explores how large language models (LLMs) prioritize feedback from human experts over other LLMs in decision-making tasks, rev...
NeuroWeaver is an autonomous evolutionary agent designed to optimize EEG analysis pipelines, addressing data constraints and computationa...
The paper presents Situation Graph Prediction (SGP), a novel approach for modeling user perspectives by reconstructing structured represe...
This article examines how individuals prioritize accuracy in AI tools differently in professional versus personal contexts, based on an o...
The paper presents SELFCEST, a novel approach that enhances language models by enabling them to create clones for improved reasoning effi...
The paper introduces AST-PAC, a novel method for membership inference attacks on code models, leveraging Abstract Syntax Trees to enhance...
NL2LOGIC presents a novel framework for translating natural language into first-order logic using large language models, enhancing accura...
The paper presents AMOR, an entropy-based metacognitive gate that enhances attention switching in state space models, improving efficienc...
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...
Rumors suggest that the Qwen3.5 model may have a parameter size of approximately 400 billion, raising discussions about the implications ...
Residents of Potters Bar protest against a planned data center on green belt land, highlighting tensions between AI infrastructure demand...
Citi identifies potential buying opportunities in software stocks, which have recently declined due to fears of AI disruption. The firm h...
The Pentagon is threatening to sever ties with AI company Anthropic due to its refusal to allow unrestricted military use of its AI model...
Temese Szalai's talk at the Astoria Public Library demystifies AI, focusing on its workings and limitations rather than usage, aiming to ...
The University of Georgia is launching an $800,000 pilot program to provide students with access to premium AI tools like ChatGPT Edu and...
The AI Impact Summit in Delhi highlights India's potential to reshape the global AI landscape, emphasizing the need for inclusivity and l...
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