All Articles
16590 articles total
ALLUDE: A Unified Evaluation System for Configurable Attacks in Differentiable Environments
Presentation of ALLUDE, an open-source unified evaluation system for configuring and testing adversarial attacks against vision models in differentiable environments.
DepthART: Scaling Foundation Monocular Depth to Tiny Models
Development of DepthART, a compact monocular depth estimation model designed for efficient on-device deployment on tiny hardware like Jetson Nano.
Auto Research for Materials: Auditable AI-Scientist Workflows with Held-Out Transfer
Research on using closed-loop AI agents to discover reusable and transferable modeling changes for materials science predictions.
Teach it to stop, not just to click
An analysis of the variance and reliability of computer-use RL agents, providing a library for better k-seed reporting in research.
Noise-Robust Box-Supervised Infrared Small Target Detection via Physics-Inspired Soft Label Optimization
Introduction of HALO, a physics-inspired soft label optimization method for noise-robust small target detection in infrared imagery.
Juggling for Blind People
An article about juggling for blind people, likely focusing on accessibility or human interest.
A flaky test exposed a Redis client use-after-free
A report on how a flaky test identified a use-after-free vulnerability in a Redis client.
Show HN: An MCP server that turns async-work practices into tools
A new Model Context Protocol (MCP) server that converts asynchronous work practices into usable tools.
How an AI Anime Is Created
An exploration of the technical process behind creating AI-generated anime.
Ten Steps Towards Happiness
A piece offering ten steps toward achieving happiness, which is non-technical content.
Dimension Capital’s $800M third fund shows the intersection of science and compute is booming
Dimension Capital has launched an $800M third fund focusing on the intersection of science and compute.
Counterfactual Shapley Credit Assignment
Introduces Counterfactual Shapley Credit Assignment and the $\phi$-PPO method to improve reward attribution in Reinforcement Learning.
Scalable Causal Imitation Learning
Proposes Causal SQIL and Causal IQ-Learn algorithms to improve imitation learning in high-dimensional, confounded environments.
Alignment of a Total Automation Economy
Discusses the economic theory and alignment vulnerabilities of a totally automated economy without human production.
WHALE: A Scalable Unified Model for Recommendation with Wukong-HSTU Architecture
Presents WHALE, a unified recommendation architecture combining Wukong and HSTU with custom Triton kernels for efficiency.
Samsung Galaxy Unpacked July 2026: How to watch
Samsung is preparing for its July 2026 Galaxy Unpacked event, where it is expected to unveil new foldable devices, including a redesigned Galaxy Z Fold 8.
A Multi-Agent System for 5G Throughput Prediction in Multi-Operator Urban Environments
Researchers propose a Tiered Multi-Agent System (TMAS) to improve 5G throughput prediction in urban environments, achieving high accuracy and low latency.
Optimizing Clinical Trial Protocols Using EHR-Derived Heterogeneous Treatment Effects
A study demonstrates that using heterogeneous treatment effects (HTE) derived from EHR data can identify specific patient subgroups with distinct responses to heart failure treatment.
Pediatric Bone Age Prediction Using Deep Learning
A deep learning approach using EfficientNet with Additive Attention is presented for the automated prediction of pediatric bone age from X-ray images.
What Do They See? Interpreting Complex Road Scenarios Through the Eyes of Vision-Language-Action Models for Safe and Trustworthy Autonomous Vehicle Learning
The Counterfactual Vision Action Analysis (CVAA) framework is introduced to interpret the causal influence of objects on the planning behavior of autonomous vehicle models.