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17909 articles total
LineShine Is Fastest Supercomputer at Over 2 Exaflops
A discussion on the LineShine supercomputer, which achieves performance exceeding 2 Exaflops.
All The Different Lasers, And How Well They Mark 3D Prints
A comprehensive guide on using various lasers to mark 3D printed plastics, featuring experiments from CNC Kitchen.
Laser Scanning A Cave With Homebrew Gear
A project demonstrating the use of homebrew laser scanning equipment to map the interior of a cave.
FLOSS Weekly Episode 872: I’m Not Satoshi
FLOSS Weekly discusses the Craig Wright legal case and features Tristan Sherliker's open-source project, BunTool.
Show HN: Nimic – Pure Python as a systems language with AOT compilation
Nimic is a project that aims to enable pure Python to be used as a systems language through the use of AOT (Ahead-Of-Time) compilation.
Skills for the future software profession: beyond agentic AI!
Researchers discuss the evolving role of software engineers in the agentic AI era, emphasizing the increasing importance of verification and validation skills.
Alternate loss functions and regression models that achieve robustness to outliers by modulating the learning rate
The paper proposes Square Root Loss (SRL) and Smooth Mean Absolute Error (SMAE) to improve regression model robustness against outliers by modulating the learning rate.
MultiMem: Measuring and Mitigating Memorization in Multi-Modal Contrastive Learning
Introduces MultiMem, a new metric for quantifying and mitigating memorization in multi-modal contrastive learning to improve model generalization.
Diffusion Integrated Gradients: Controllable Path Generation for Flexible Feature Attribution
Presents Diffusion Integrated Gradients (DiffIG), a method that uses diffusion models to create flexible, controllable attribution paths for XAI.
On the Position Bias of On-Policy Distillation
Introduces Importance-Weighted On-Policy Distillation (IW-OPD) to solve position bias in RL, leading to faster convergence and better performance on AIME-2025.
AI Fiction in the Wild
A study on the usage patterns of ChatGPT for fiction generation, highlighting the emergence of 'solipsistic reader-writers'.
Polycepta: Object-Centric Appearance Estimation for Multi-Object Tracking
Polycepta is a new object-centric appearance estimation framework for multi-object tracking that outperforms static descriptors and operates at 90.57 Hz.
The math behind the OpenAI Jalapeño chip
OpenAI is collaborating with Broadcom to develop the 'Jalapeño' ASIC chip to reduce dependence on Nvidia and lower infrastructure costs.
Samsung opens ChatGPT Enterprise and Codex access after AI restrictions
Samsung is expanding employee access to ChatGPT Enterprise and Codex globally to enhance technical and non-technical productivity.
Wikipedia Workers in Britain set global first by seeking union recognition
Wikipedia workers in Britain are seeking union recognition, marking a global first for the platform's workforce.
Acquisition state behaves as a structured, measurable variable governing lung-nodule AI: kernel-driven measurement instability and noise-driven detection fragility, invisible to DICOM metadata
Researchers identify that reconstruction kernels in medical CT imaging can cause measurement instability and detection fragility in AI models, invisible to standard DICOM metadata.
AgentRivet: an automated system for producing Rivet routines from journal publications
AgentRivet is an automated LLM-based system designed to produce Rivet routines for particle physics analysis from journal publications.
Surprise-Guided MergeSort: Budget-Efficient Human-in-the-Loop Ranking via Adaptive Comparison Scheduling
The Surprise-Guided MergeSort (SGS) framework uses Vision-Language Models to prioritize comparisons for human-in-the-loop ranking, improving efficiency and accuracy.
Lect\=uraAgents: A Multi-Agent Framework for Adaptive Personalized AI-Assisted Learning and Embodied Teaching
LecturaAgents is a multi-agent framework for personalized AI-assisted learning that uses embodied teaching mechanisms to adapt to individual learners.
Robust Dual-Signal Fusion: Hybrid Neuro-Symbolic Gating with Compressed Chain-of-Thought Refinement for Irony Detection in Social Media Texts
The Robust Dual-Signal (RDS) Fusion framework uses a hybrid neuro-symbolic architecture to improve irony detection in social media texts using small-scale LLMs.