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...
Nvidia has played a significant role in the development of the A.I. era and now faces the challenge of maintaining its position in this e...
Perplexity just ran a structural analysis on the criticism campaign against my work. What it found: synchronized language across posts, n...
![[2602.15707] Proactive Conversational Assistant for a Procedural Manual Task based on Audio and IMU](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
This article presents a novel real-time conversational assistant that utilizes audio and IMU data to guide users through procedural tasks...
The paper presents Safe-SDL, a framework for ensuring safety in AI-driven Self-Driving Laboratories, addressing the critical 'Syntax-to-S...
The paper introduces the Agent Communication Protocol (ACP), a framework for secure and efficient agent-to-agent orchestration, addressin...
The paper presents ExpertWeaver, a framework that enhances the conversion of dense LLMs into sparse Mixture-of-Experts (MoE) models using...
This article introduces a novel operator learning method for incompressible flows, enhancing computational efficiency while preserving es...
This article discusses the integration of accelerated computing (AC) and artificial intelligence (AI) in computational lithography, highl...
This article explores Ankara's public transport crisis, attributing it to structural issues rather than mere inefficiencies. It highlight...
GaiaFlow presents a novel framework for carbon-efficient search, employing semantic-guided diffusion tuning to balance retrieval accuracy...
This article discusses the use of large language models (LLMs) as synthetic participants in social science experiments, evaluating their ...
The paper presents FlashMem, a memory streaming framework designed to optimize the execution of large-scale deep neural networks (DNNs) o...
The paper introduces PERSONA, a novel framework for dynamic personality control in Large Language Models (LLMs) using activation vector a...
The paper presents SCENE, a novel estimator for over-the-air federated distillation that enhances aggregation without requiring pilot sig...
This paper presents Exploration-Exploitation Distillation (E^2D), a method for efficient large-scale dataset distillation that balances a...
The paper presents a novel adaptive abstention system for Large Language Models (LLMs) that balances safety and utility by dynamically ad...
This paper presents the Layer Smoothing Attack (LSA), a novel backdoor attack exploiting layer-specific vulnerabilities in federated lear...
The paper explores how a pretrained transformer can effectively solve empirical Bayes problems by leveraging universal priors, demonstrat...
This paper presents a machine learning framework to predict invoice dilution in supply chain finance, utilizing advanced models like XGBo...
TokaMind is a new open-source multi-modal transformer model designed for tokamak plasma dynamics, demonstrating superior performance on f...
This paper presents a secure and energy-efficient wireless AI network that utilizes a supervisor AI agent to optimize reasoning tasks whi...
The paper presents Panini, a continual learning framework for language models that enhances efficiency and accuracy by integrating experi...
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