In Conversation with Sarah Kogan: 20th Oct 2025
chu.cam.ac.uk·4h
📐Mathematical Art
When minds align: A neural basis for flocking
phys.org·29m
🔲Cellular Automata
WordPress Spam Users
etbe.coker.com.au·9h
📰RSS Reading Practices
​​Speech-to-Retrieval (S2R): A new approach to voice search
research.google·5d·
Discuss: Hacker News
🎙️Whisper
The first OpenAI device, created in collaboration with Jony Ive, has faced technical difficulties
madcornishprojectionist.co.uk·5h
🔓Reverse engineering
Online KubeDiagrams Service
reddit.com·1d·
Discuss: r/kubernetes
📦Container Security
Immersive Historical Reconstruction Validation via Multi-Sensor VR Data Fusion & Causal Inference
dev.to·1d·
Discuss: DEV
🏺Computational Archaeology
Is Your Fridge About to Order Groceries For You? Demystifying the Metaverse's "Twin" - Digital Twins
dev.to·3h·
Discuss: DEV
🌐Archive Topology
Tech With Tim: My top 5 python programming course recommendations
dev.to·5h·
Discuss: DEV
⭐Awesome lists
Real-Time Disaster Response via Distributed CubeSat EO with Adaptive Spectral Unmixing
dev.to·1d·
Discuss: DEV
📥Feed Aggregation
The Custom Conveyor: Building Your Own Iterators
dev.to·2d·
Discuss: DEV
🔄Burrows-Wheeler
Code Green: How Big Data and AI are Engineering a Sustainable Planet
dev.to·2d·
Discuss: DEV
🌊Stream Processing
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·2d·
Discuss: DEV
📊Multi-vector RAG
The Tech Stack That's Dying in 2025 (Stop Wasting Time on It)
dev.to·1d·
Discuss: DEV
🦋Format Evolution
Building Self-Correcting Database Agents with Meta's Llama-4-Scout: From Natural Language to SQL Insights
dev.to·3d·
Discuss: DEV
🗄️Database Internals
Instance Relation Learning Network with Label Knowledge Propagation for Few-shot Multi-label Intent Detection
arxiv.org·3d
🤖Grammar Induction
Kurzgesagt - In a Nutshell: AI Slop Is Destroying The Internet
dev.to·3h·
Discuss: DEV
🗜️LZW Variants
How the Rise of Tabular Foundation Models Is Reshaping Data Science
towardsdatascience.com·4d
🧠Machine Learning
Stratified GRPO: Handling Structural Heterogeneity in Reinforcement Learning of LLM Search Agents
arxiv.org·5d
🧠Intelligence Compression
Exponential Error Bounds for Information Bottleneck Source Coding Problems
arxiv.org·3d
📐Compression Bounds