What is email encryption and why should your business prioritize it?
proton.me·2d
🔐Archive Encryption
Auditing AI
wryco.com·1d·
Discuss: Hacker News
🔲Cellular Automata
A Deep Dive into Improper Authentication
infosecwriteups.com·1d
🔓Hacking
Measuring AI impact like it's 1995
swarmia.com·12h·
Discuss: Hacker News
🧠Intelligence Compression
We Fixed AI's Broken Promise
understoryai.substack.com·2d·
Discuss: Substack
⚔️Lean Tactics
Test
hnhiring.com·1d·
Discuss: Hacker News
🏴󠁧󠁢󠁳󠁣󠁴󠁿Scottish Computing
Enhancing Systematic Interoperability: Convergences and Mismatches between Web 3.0 and the EU Data Act
arxiv.org·1d
📇Dublin Core
Building Automation That Protects Millions in Gold Inventory-Without Replacing ERP
dev.to·10h·
Discuss: DEV
🚨Incident Response
Unveiling the Secrets of Data Grouping: A Deep Dive into Hierarchical Clustering and DBSCAN
dev.to·2d·
Discuss: DEV
📚Document Clustering
Automated Scientific Literature Scoring & Validation via Recursive Hyperparameter Optimization
dev.to·3h·
Discuss: DEV
🔍Information Retrieval
Your antivirus is under attack from new "killer" tool - here's what we know
techradar.com·1d
🔓Hacking
Dutch NCSC: Citrix NetScaler zero-day breaches critical orgs
securityaffairs.com·1d
🏠Homelab Pentesting
AI-Driven Biomarker Discovery via Federated Learning for Precision Oncology Treatment
dev.to·21h·
Discuss: DEV
🧠Machine Learning
Learning Optimal and Fair Policies for Online Allocation of Scarce Societal Resources from Data Collected in Deployment
arxiv.org·15h
⚡Incremental Computation
Understanding Transformers through the Lens of Pavlovian Conditioning
arxiv.org·15h
🧠Machine Learning
PROPS: Progressively Private Self-alignment of Large Language Models
arxiv.org·1d
💻Local LLMs
Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning
arxiv.org·1d
🧠Machine Learning
FOBNN: Fast Oblivious Inference via Binarized Neural Networks
arxiv.org·1d
🔢Binary Embeddings
READER: Retrieval-Assisted Drafter for Efficient LLM Inference
arxiv.org·15h
🔄Burrows-Wheeler
Using LLMs to Capture Users' Temporal Context for Recommendation
arxiv.org·15h
⚖️Feed Ranking