A German Medical Manuscript and Pharmacists in Southeastern Pennsylvania
uniqueatpenn.wordpress.com·1d
📜Nuremberg Letterbooks
Fed’s Bostic Gets Earful on Tariff Costs, Consumer Pain on Tour
bloomberg.com·17h
🕯️Wax Cylinders
Factoring Stencils
johndcook.com·13h
👑Isabelle
Answer: Best ways to do just-in-time learning. Part 1.
searchresearch1.blogspot.com·2d·
Discuss: searchresearch1.blogspot.com
🔲Cellular Automata
Show HN: Evaluating LLMs on creative writing via reader usage, not benchmarks
narrator.sh·3d·
Discuss: Hacker News
🎯Content Recommendation
Millennials' favorite companies are growing up or dying out
businessinsider.com·34m
⏳Time Capsule Networks
Scientists Warn: Your “Eco-Friendly” Wood Stove May Be Releasing Toxic Pollutants
scitechdaily.com·1d
🏠Home Automation
I tested GPT-5 vs GPT-4o with 5 prompts – and there’s a clear winner
techradar.com·2d
🔲Cellular Automata
Pedestrian Dead Reckoning using Invariant Extended Kalman Filter
arxiv.org·4h
📐Projective Geometry
Finite-Width Neural Tangent Kernels from Feynman Diagrams
arxiv.org·4h
🌀Riemannian Computing
Recent Advances in Generative AI for Healthcare Applications
arxiv.org·4h
🤖Advanced OCR
MedSAMix: A Training-Free Model Merging Approach for Medical Image Segmentation
arxiv.org·4h
🌀Riemannian Computing
Scientists hack microbes to identify environmental sources of methane
phys.org·3d
📡RSS
Citation Issues in Wave Mechanics Theory of Microwave Absorption
arxiv.org·6d
🌡️Preservation Physics
Novel Parasitic Dual-Scale Modeling for Efficient and Accurate Multilingual Speech Translation
arxiv.org·4h
🎙️Whisper
Autonomous Fleet Routing Optimization via Multi-Constraint Bayesian Optimization and Digital Twin Simulation
dev.to·1d·
Discuss: DEV
⚡Z3 Optimization
Optimizing Biofuel Production via AI-Driven Algae Strain Selection and Predictive Cultivation Modeling
dev.to·4d·
Discuss: DEV
☕Precision Brewing
Diffusion Model for Slate Recommendation
arxiv.org·4h
🎛️Feed Filtering
Can Multi-modal (reasoning) LLMs detect document manipulation?
arxiv.org·4h
🤖Advanced OCR
Better Supervised Fine-tuning for VQA: Integer-Only Loss
arxiv.org·4h
🧠Learned Codecs