Mastering Malware Analysis: A SOC Analyst’s Guide to Dynamic Analysis with AnyRun
infosecwriteups.com·15h
🦠Malware Analysis
Red Pitaya STEMlab 125-14 PRO Gen 2 is an AMD Zynq 7010/7020-based board for measurement, control, and signal processing
cnx-software.com·1d
🔍FPGA Verification
Kumo Surfaces Structured Data Patterns Generative AI Misses
thenewstack.io·9h
📊Graph Databases
Efficient Transformations in Deep Learning Convolutional Neural Networks
arxiv.org·2d
🧠Learned Compression
Machine Learning Fundamentals: active learning
dev.to·1d·
Discuss: DEV
🤖Grammar Induction
Deep-OFDM: Neural Modulation for High Mobility
arxiv.org·1d
🧠Neural Codecs
Rethinking the Role of Operating Conditions for Learning-based Multi-condition Fault Diagnosis
arxiv.org·1d
🧪Property-Based Testing
Plan for Speed -- Dilated Scheduling for Masked Diffusion Language Models
arxiv.org·19h
💻Local LLMs
Robust PDE discovery under sparse and highly noisy conditions via attention neural networks
arxiv.org·1d
🌀Differential Geometry
Show HN: Anagnorisis, local data-management with trainable recommendation engine
github.com·45m·
Discuss: Hacker News
🤖Archive Automation
Programming Entry Level: how to interpreter
dev.to·1d·
Discuss: DEV
🔗Lisp
Gaussian Processes and Reproducing Kernels: Connections and Equivalences
arxiv.org·1d
🧠Machine Learning
Blind Source Separation in Biomedical Signals Using Variational Methods
arxiv.org·1d
🎵Audio ML
Finetuning a Weather Foundation Model with Lightweight Decoders for Unseen Physical Processes
arxiv.org·19h
🔍Type Inference
Behavioral Anomaly Detection in Distributed Systems via Federated Contrastive Learning
arxiv.org·19h
👁️Observatory Systems
Fully lifted \emph{blirp} interpolation -- a large deviation view
arxiv.org·19h
🌀Fractal Compression
📏 Feature Scaling in Machine Learning: Why It Matters and How to Do It
dev.to·6h·
Discuss: DEV
🧪Data science
USAD: Universal Speech and Audio Representation via Distillation
arxiv.org·1d
🎵Audio ML
Machine Learning Fundamentals: accuracy tutorial
dev.to·2d·
Discuss: DEV
📊Feed Optimization
Emotion Detection on User Front-Facing App Interfaces for Enhanced Schedule Optimization: A Machine Learning Approach
arxiv.org·19h
🎛️Feed Filtering