GPUs, training clusters, MLOps, and deployment
Nvidia-backed Asia AI data center provider Firmus has now raised $1.35 billion in six months.
Anthropic launched Project Glasswing, a cybersecurity initiative in which it’s partnering with Nvidia, Apple, and others, and debuted a n...
I’ve been seeing more people talk about TeraBox lately, especially around storage for AI-related workflows. Curious if anyone here has us...
![[2501.00755] An AI-powered Bayesian generative modeling approach for causal inference in observational studies](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
The paper presents CausalBGM, an AI-driven Bayesian generative modeling approach designed for causal inference in observational studies, ...
This paper introduces a parameter-free optimization method for Sign-SGD, enhancing efficiency in training large language models by elimin...
This paper introduces a novel method for gradient-based data attribution that learns parameter importance weights from data, enhancing at...
This article presents a novel approach to knowledge distillation for interactive AI, emphasizing contextual guidance over simple output i...
The paper presents Assimilative Causal Inference (ACI), a novel framework that utilizes Bayesian data assimilation to identify dynamic ca...
This paper presents a novel semantic scheduling paradigm for cluster workload allocation using Natural Language Processing, enhancing usa...
The article presents the AI Pyramid, a framework for understanding workforce capabilities in an AI-driven economy, emphasizing the need f...
This article presents a novel approach to data-efficient inference of neural fluid fields using SciML foundation models, demonstrating si...
The paper presents 'AI Epidemiology', a framework for enhancing explainability in AI systems through expert oversight, using population-l...
This paper presents an adaptive shielding framework for reinforcement learning that utilizes GR(1) specifications to ensure safety and li...
This paper presents a novel approach to generating causal explanations for image classifiers, introducing a black-box algorithm grounded ...
This article reviews governance frameworks for Generative AI, focusing on how companies can effectively manage the integration of large l...
This article discusses the challenges posed by hardware heterogeneity in beam-based communication systems for 5G and beyond, emphasizing ...
The paper presents a novel method called Confidence-Driven Contrastive Decoding (CCD) aimed at improving the reasoning accuracy of large ...
CityGuard introduces a novel framework for privacy-preserving identity retrieval across urban surveillance cameras, addressing challenges...
This study explores how AI can facilitate novice learning in cybersecurity Capture-the-Flag (CTF) competitions by lowering entry barriers...
The paper presents FENCE, a bilingual multimodal dataset designed for detecting jailbreaks in financial applications, highlighting vulner...
This paper introduces polynomial trees to model dynamic systems where interactions reshape interfaces, enhancing understanding of state-d...
MeanVoiceFlow introduces a one-step nonparallel voice conversion model that enhances speech quality and speaker similarity while reducing...
The HiAER-Spike platform is a modular neuromorphic computing system designed for large-scale spiking neural networks, featuring advanced ...
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