Dr. Michael Kilgard's take on passive language learning on Huberman Lab - what are your thoughts?
youtu.be·47m·
Discuss: r/languagelearning
🤖AI
Next-Generation Techniques for Parameter Reduction for BMP Multiobjective Optimization in Watershed Planning
sciencedirect.com·2d
🔗Microservices
EP176: How Does SSO Work?
blog.bytebytego.com·1d
🔗Microservices
AI model predicts better nanoparticles for efficient RNA vaccine delivery
phys.org·2d
🤖AI
Teaching the model: Designing LLM feedback loops that get smarter over time
venturebeat.com·23h
🔄Agile
Stop using AI for these 9 work tasks - here's why
zdnet.com·1d
🤖AI
AI is driving a data center boom in rural America. Locals are divided on the benefits - NPR
news.google.com·6h
🔗Microservices
Targeted Crosstalk Modulation: Optimizing Plant Immunity & Growth via Dynamic Auxin-Jasmonate Balance
dev.to·21h·
Discuss: DEV
🤖AI
Enhanced Algorithmic Optimization for Sustainable Aquaculture Feed Production via Multi-Modal Data Fusion
dev.to·3d·
Discuss: DEV
🤖AI
A Robust Pipeline for Differentially Private Federated Learning on Imbalanced Clinical Data using SMOTETomek and FedProx
arxiv.org·2d
🔗Microservices
Guys.. WHy non tech are dumb?
dev.to·8h·
Discuss: DEV
🤖AI
From Black Box to Transparency: Enhancing Automated Interpreting Assessment with Explainable AI in College Classrooms
arxiv.org·2d
🤖AI
Is AI hitting a wall? - Financial Times
news.google.com·2d
🤖AI
Adaptive Kernel Fusion for Sparse Matrix Acceleration on Neuromorphic NPU Architectures
dev.to·2d·
Discuss: DEV
🤖AI
STAMP: Multi-pattern Attention-aware Multiple Instance Learning for STAS Diagnosis in Multi-center Histopathology Images
arxiv.org·2d
🤖AI
LEAVES: Learning Views for Time-Series Biobehavioral Data in Contrastive Learning
arxiv.org·3d
🤖AI
Self-Assembling RNA Compartments: Predictive Modeling of Phase Diagram Dynamics for Targeted Delivery
dev.to·1d·
Discuss: DEV
🤖AI
Multi-Label Plant Species Prediction with Metadata-Enhanced Multi-Head Vision Transformers
arxiv.org·2d
🤖AI
My Journey from Data Confusion to Data Mastery: A Personal Reflection on the Data Science Revolution
dev.to·4d·
Discuss: DEV
🔗Microservices
Silicon Valley talent keeps getting recycled, so this CEO uses a 'moneyball' approach for uncovering hidden AI geniuses in the new era - Fortune
news.google.com·9h
🤖AI