AI Infrastructure Guide
A comprehensive guide to the best ai infrastructure resources, organized by type. Curated by AI News.
Tutorials
Deploying Open Source Vision Language Models (VLM) on Jetson
This article provides a comprehensive guide on deploying Open Source Vision Language Models (VLMs) on NVIDIA Jetson devices, detailing the necessary prerequisites and step-by-st...
Researches
[2510.26722] Non-Convex Over-the-Air Heterogeneous Federated Learning: A Bias-Variance Trade-off
This paper explores the challenges of heterogeneous federated learning in wireless networks, focusing on the bias-variance trade-off in non-convex scenarios. It presents a novel...
[2602.12426] Interference-Robust Non-Coherent Over-the-Air Computation for Decentralized Optimization
This paper presents an interference-robust non-coherent over-the-air computation (IR-NCOTA) method for decentralized optimization, enhancing consensus estimation in wireless net...
[2602.15546] CEPAE: Conditional Entropy-Penalized Autoencoders for Time Series Counterfactuals
The paper introduces CEPAE, a novel approach utilizing Conditional Entropy-Penalized Autoencoders for effective counterfactual inference in time series data, demonstrating super...
[2602.17386] Visual Model Checking: Graph-Based Inference of Visual Routines for Image Retrieval
The paper presents a novel framework integrating formal verification with deep learning for improved image retrieval, addressing the limitations of current models in handling co...
[2510.03313] Scaling Laws Revisited: Modeling the Role of Data Quality in Language Model Pretraining
The paper introduces a new dimensionless data-quality parameter for language model pretraining, establishing a quality-aware scaling law that predicts loss based on model size, ...
[2509.18949] Towards Privacy-Aware Bayesian Networks: A Credal Approach
This paper presents a novel approach to privacy-aware Bayesian networks using credal networks, addressing the trade-off between privacy and model utility in probabilistic graphi...
Invisible characters hidden in text can trick AI agents into following secret instructions — we tested 5 models across 8,000+ cases
The article explores how invisible Unicode characters can manipulate AI models into following hidden instructions, revealing vulnerabilities in AI systems.
Articles
One-Shot Any Web App with Gradio's gr.HTML
Gradio's new gr.HTML feature allows users to create interactive web apps using a single Python file, enabling seamless integration of frontend and backend functionalities.
[2602.15852] Building Safe and Deployable Clinical Natural Language Processing under Temporal Leakage Constraints
This article discusses the development of clinical NLP models that mitigate risks associated with temporal leakage, emphasizing the importance of safety and calibration in predi...
Google might think your Website is down
The article discusses a potential issue where Google may mistakenly identify a website as being down due to network security blocks, impacting accessibility and user experience.
The left is missing out on AI | Transformer News
The article discusses how the political left has largely overlooked the implications of artificial intelligence, despite its societal significance, with few exceptions.
AI: Hard drives are already sold out for the entire year, says Western Digital
Western Digital reports that hard drives are sold out for the year, highlighting the growing demand for storage solutions driven by AI advancements.
[2510.24803] MASPRM: Multi-Agent System Process Reward Model
The MASPRM paper introduces a novel Multi-Agent System Process Reward Model that enhances performance during inference by guiding search and optimizing computation in multi-agen...
5 ways bp uses AI and other tech to drive performance
The article explores five innovative ways BP leverages AI and technology to enhance operational performance, showcasing their commitment to digital transformation.
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 demands and local environmental concerns.
[2602.15971] B-DENSE: Branching For Dense Ensemble Network Learning
The paper presents B-DENSE, a novel framework for improving dense ensemble network learning by leveraging multi-branch trajectory alignment to enhance image generation quality.
[2602.15277] Accelerating Large-Scale Dataset Distillation via Exploration-Exploitation Optimization
This paper presents Exploration-Exploitation Distillation (E^2D), a method for efficient large-scale dataset distillation that balances accuracy and computational efficiency, ac...
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