Essential FreeBSD Tools and Commands
discoverbsd.com·5h
🔌Operating system internals
The Magic Theorem
aperiodical.com·7h·
Discuss: Hacker News
📐Mathematical Art
De-Pixelate YouTube Video
github.com·2d·
Discuss: Hacker News
🎞️MKV Forensics
Show HN: Pyhoff – Connect Python ML Models to Beckhoff/WAGO IO Hardware
github.com·10h·
Discuss: Hacker News
🔌Single Board PC
Simultaneous Triggering and Synchronization of Sensors and Onboard Computers
arxiv.org·17h
⚡Cache Coherence
Silicon Power launches new Hypera microSDXC Express Card for the Switch 2 — features PCIe 3.0 and UHS-I for wide compatibility
tomshardware.com·7h
🎮Cartridge Archaeology
DATABench: Evaluating Dataset Auditing in Deep Learning from an Adversarial Perspective
arxiv.org·17h
🔬Archive Forensics
JAX-MPM: A Learning-Augmented Differentiable Meshfree Framework for GPU-Accelerated Lagrangian Simulation and Geophysical Inverse Modeling
arxiv.org·1d
🌀Differential Geometry
A Data-Driven Novelty Score for Diverse In-Vehicle Data Recording
arxiv.org·1d
🧠Machine Learning
Citrix NetScaler Memory Disclosure (CitrixBleed 2 CVE-2025-5777)
labs.watchtowr.com·1d·
Discuss: Hacker News
🔓Hacking
MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection
arxiv.org·1d
📐Projective Geometry
ISLES'24 -- A Real-World Longitudinal Multimodal Stroke Dataset
arxiv.org·1d
🌀Differential Geometry
Design Considerations for an Anthropophilic Computer
web.stanford.edu·5h·
Discuss: Hacker News
🖥️Vintage Macintosh
Normal Patch Retinex Robust Alghoritm for White Balancing in Digital Microscopy
arxiv.org·17h
🌈Color Science
Programming Like It’s 1986, For Fun and Zero Profit
hackaday.com·13h
🖥Retro Computing
LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models
arxiv.org·17h
💿FLAC Archaeology
Modeling and Reversing Brain Lesions Using Diffusion Models
arxiv.org·17h
🛠️Greaseweazle
Roll your own in-game UI with Clay and NanoVG
dev.to·5h·
Discuss: DEV, r/cpp, r/programming
📟Terminal Physics
MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs
arxiv.org·1d
🧠Machine Learning
[P] Pruning Benchmarks for computer vision models
reddit.com·17h·
Discuss: r/MachineLearning
💻Local LLMs