GPUs, training clusters, MLOps, and deployment
NVIDIA limited-time perk: Claim a free 1-year API Key! Hermes Agent now supports integration with the NVIDIA NIM platform, with real-worl...
We built a system, ProgramAsWeights (PAW), where a neural compiler takes a plain-English function description and produces a "neural prog...
UMKC announces a new Master of Science in Artificial Intelligence program aimed at addressing workforce demand for AI expertise, set to l...
![[2602.12875] A Microservice-Based Platform for Sustainable and Intelligent SLO Fulfilment and Service Management](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
This article presents CASCA, an open-source microservice-based platform designed to enhance sustainable SLO fulfillment and service manag...
The paper presents Chimera, a framework that integrates neuro-symbolic attention mechanisms into programmable dataplanes, enhancing traff...
The GRAIL framework enhances next-visit event prediction in healthcare by utilizing geometry-aware retrieval and hyperbolic representatio...
The paper explores a novel algorithm, Placer, which utilizes Message Passing Networks to create latent embeddings for telemetry-aware gre...
The paper presents VineetVC, an adaptive video conferencing system designed to function effectively under severe bandwidth constraints by...
The paper presents SLA2, an advanced Sparse-Linear Attention model that enhances video generation efficiency by introducing a learnable r...
This article presents the Additive U-Net architecture for image denoising and classification, highlighting its advantages in multi-task l...
This article presents a novel approach to reinforcement learning by reinterpreting the partition function as a difficulty scheduler, enha...
The paper presents Artic, an AI-oriented real-time communication framework designed for Multimodal Large Language Model (MLLM) video assi...
This article evaluates HiFloat formats for low-bit inference on Ascend NPUs, highlighting their efficiency and compatibility with state-o...
The paper introduces TensorCommitments, a novel proof-of-inference scheme designed to enhance the security of large language model (LLM) ...
The paper presents QuEPT, a novel quantization method for Transformers that enables efficient multi-bit switching with one-shot calibrati...
The paper presents Power Interpretable Causal ODE Networks (PICODE), a novel model for explainable anomaly detection and root cause analy...
The paper introduces SD-MoE, a method to enhance expert specialization in Mixture-of-Experts architectures by utilizing spectral decompos...
The paper presents a decoder-only Conformer model for automatic speech recognition (ASR) that integrates speech and text processing witho...
The paper presents ExtraCare, a novel domain adaptation method for predictive healthcare that enhances accuracy and transparency by decom...
CacheMind introduces a novel tool for cache replacement, leveraging natural language processing and trace-grounded reasoning to enhance C...
This article presents a reproducibility study of DragDiffusion, a method for interactive point-based image editing using diffusion models...
The paper presents ForeAct, a novel Visual Foresight Planning framework that enhances Vision-Language-Action (VLA) models by enabling the...
The paper presents RaSD, a framework for pre-training medical image foundation models using synthetic data, demonstrating superior perfor...
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