This new malware has developed a spooky way to tell AI-based detection methods to ignore it
techradar.com·3h
🦠Malware Analysis
ML in the Home
blog.raymond.burkholder.net·3d
📈Time Series
Capturing my handwriting in a searchable digital format – the long way round
colinramsay.co.uk·3d·
Discuss: Hacker News
📲Digitization
RSS Server Side Reader
matklad.github.io·1d·
Discuss: Lobsters, Hacker News
📰RSS Feed Discovery
Notes on AI and Writing
jasmi.news·3h·
Discuss: Hacker News
🏛Digital humanities
Filevine’s Artificial Intelligence Is Freeing Legal Professionals from the Paper Chase
hackernoon.com·19h
🔄Document Workflows
CSS Functions and Mixins Module
w3.org·1d·
Discuss: Hacker News
🔗Concatenative Programming
Audio Localization Gear Built On The Cheap
hackaday.com·1h
🎧Audio Restoration
Computer-vision research powers surveillance technology
nature.com·2d·
Discuss: Hacker News
🔎OSINT Techniques
A Deep Learning Based Method for Fast Registration of Cardiac Magnetic Resonance Images
arxiv.org·2d
🌀Riemannian Computing
Batch Processing Multiple Readings: Get Ahead of Your Weekly Assignments
dev.to·2d·
Discuss: DEV
🔬Academic Search
From Zero to One: A Complete Guide to Implementing WeChat Sharing in HarmonyOS
dev.to·2d·
Discuss: DEV
⚡Modern Compression
UltraSketchLLM: Saliency-Driven Sketching for Ultra-Low Bit LLM Compression
arxiv.org·3d
🗜️LZW Variants
On the computation of tensor functions under tensor-tensor multiplications with linear maps
arxiv.org·3d
🌀Riemannian Computing
Multimodal Medical Image Binding via Shared Text Embeddings
arxiv.org·3d
🤖Advanced OCR
Structured data response with Amazon Bedrock: Prompt Engineering and Tool Use
aws.amazon.com·1d
🌀Brotli Internals
Named Entity Recognition using Bidirectional LSTM and Conditional Random Fields
dev.to·5d·
Discuss: DEV
🤖Grammar Induction
GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models
arxiv.org·3d
🧮Vector Embeddings
SAC: A Framework for Measuring and Inducing Personality Traits in LLMs with Dynamic Intensity Control
arxiv.org·12h
🧠Intelligence Compression
LLMs for Customized Marketing Content Generation and Evaluation at Scale
arxiv.org·3d
📊Feed Optimization