All Articles
17514 articles total
CompDiff: Hierarchical Compositional Diffusion for Fair and Zero-Shot Intersectional Medical Image Generation
CompDiff is a hierarchical compositional diffusion framework designed to generate fair and zero-shot intersectional medical images.
Effective Strategies for Asynchronous Software Engineering Agents
The CAID paradigm improves multi-agent collaboration for software engineering by using centralized delegation, asynchronous execution, and isolated workspaces.
Object Search in Partially-Known Environments via LLM-informed Model-based Planning and Prompt Selection
A new LLM-informed model-based planning framework enhances object search in partially-known environments using optimized prompt selection.
Interview with Mitchell Hashimoto about Ghostty and Zig
An interview with Mitchell Hashimoto discussing the development of the Ghostty terminal emulator and the Zig programming language.
OpenAI launches its new family of models with GPT-5.6
OpenAI announces a new family of models, GPT-5.6, with reported improvements in general capabilities and cybersecurity.
An AI agent startup just let its agent run its $100 million fundraise
AI agent startup Lyzr claims to have used its own AI agent to facilitate its $100 million funding round.
FDRMFL: Multimodal Federated Feature Extraction Model Based on Information Maximization and Contrastive Learning
Researchers propose FDRMFL, a multimodal federated feature extraction framework designed for regression under non-IID data distributions.
HiMoE-VLA: Hierarchical Mixture-of-Experts for Generalist Vision-Language-Action Policies
HiMoE-VLA is introduced as a Hierarchical Mixture-of-Experts framework for generalist vision-language-action policies to handle diverse robot embodiments.
HiDVFS: Hierarchical Multi-Agent DVFS for Real-Time OpenMP DAG Workloads
HiDVFS is presented as a hierarchical multi-agent DVFS scheduler for improving energy efficiency and meeting deadlines in OpenMP DAG workloads on embedded systems.
ButterflyMoE: Compression-Scalable Ternary Experts via Structured Butterfly Orbits
ButterflyMoE introduces a memory-efficient MoE architecture using structured butterfly orbits to reduce expert memory costs from O(d^2) to O(d log d).
Spatiotemporal Semantic V2X Framework for Cooperative Collision Prediction
A semantic V2X framework utilizing V-JEPA embeddings is proposed to enable cooperative collision prediction in intelligent transportation systems while reducing bandwidth.
Can We Really Learn One Representation to Optimize All Rewards?
Theoretical analysis of forward-backward representation learning in RL leads to a new variant that significantly reduces error and improves zero-shot performance.
Named-Entity Recognition in the Crime Domain (CrimeNER): Case Study and Dataset
The CrimeNER paper introduces a specialized dataset (CrimeNER-db) and a case study for Named-Entity Recognition in the crime domain.
Meta reuses old RAM in new servers with custom bridge chip
Meta is implementing a custom bridge chip to enable the reuse of older RAM modules in its latest generation of servers.
Show HN: Rubiks Cube Solver
A developer has shared a custom software implementation for solving Rubik's Cubes on Hacker News.
OpenAI is shutting down Atlas, but its AI browser ambitions are still growing
OpenAI is shutting down its AI-powered browser, Atlas, while shifting some of its agentic capabilities to its desktop app and Chrome extension.
Elon Musk praises Mythos/Fable, promises not to ‘cut off’ Anthropic
Elon Musk has expressed support for Mythos/Fable and assured Anthropic that it can trust his infrastructure to host its AI models.
Can AI answer the $3 trillion question?
An exploration of the return on investment (ROI) debate surrounding the massive financial expenditures in the AI industry.
NonTextual Target Attack
Researchers propose NonTextual Target Attack (NTA), a gradient-based jailbreak method for LLMs that maximizes unsafety probability without requiring fixed target responses.
Rapidly Learning Soft Robot Control via Implicit Time-Stepping
A new approach using implicit time-stepping and the DisMech simulator enables rapid policy learning for soft robots, significantly outperforming previous frameworks.