AI supply chain symphony - getting your tools to speak the same language
diginomica.com·1d
🤖AI
As We May Think No More: From Bush's Memex to AI Alignment
memoryleak.substack.com·8h·
Discuss: Substack
🤖AI
How I Used Maybe AI to Understand the Kaito Leaderboard in 30 Minutes
dev.to·14h·
Discuss: DEV
🤖AI
The Engineer in the AI Age: The Orchestrator and Architect
thenewstack.io·8h
🤖AI
Refactored my spare time C++-project into Rust as my first ever Rust-project
github.com·2d·
Discuss: r/rust
👩‍💻Programming
Enhanced Real-time Cardiac Mapping via Adaptive Wavelet Decomposition and Bayesian Inference
dev.to·1d·
Discuss: DEV
📈Machine Learning
Adaptive Parallel Graph Processing with Dynamic Workload Partitioning for Heterogeneous Architectures
dev.to·3d·
Discuss: DEV
📈Machine Learning
GmSLM : Generative Marmoset Spoken Language Modeling
arxiv.org·19h
👩‍💻Programming
A Fragile Number Sense: Probing the Elemental Limits of Numerical Reasoning in LLMs
arxiv.org·3d
📈Machine Learning
Automated Scientific Literature Validation via Hyperdimensional Semantic Analysis & Causal Inference
dev.to·3d·
Discuss: DEV
📈Machine Learning
AI Autopilot for Your Optimization Algorithms
dev.to·6d·
Discuss: DEV
🤖AI
AI's Spatial Blind Spot: Why Brain-Inspired Navigation is the Next Frontier by Arvind Sundararajan
dev.to·1h·
Discuss: DEV
🤖AI
A 3D discrepancy modeling framework for urban pollution prediction in accelerated time
sciencedirect.com·3d
📈Machine Learning
LLM Ensemble for RAG: Role of Context Length in Zero-Shot Question Answering for BioASQ Challenge
arxiv.org·1d
📈Machine Learning
Construction of Kochen-Specker Sets from Mutually Unbiased Bases
arxiv.org·1d
📈Machine Learning
Unlocking Speed: Ditching Strict Symmetry in Neural Nets by Arvind Sundararajan
dev.to·1d·
Discuss: DEV
📈Machine Learning
UltrON: Ultrasound Occupancy Networks
arxiv.org·19h
📈Machine Learning
Introducing MindsDB’s Integration with Gong: AI Analytics on Call Data
dev.to·1d·
Discuss: DEV
🗄️Databases
7 Best AI Reverse Image Search Softwares — A Highly Comprehensive Guide
dev.to·1d·
Discuss: DEV
🔍Search engines
Universal Graph Learning for Power System Reconfigurations: Transfer Across Topology Variations
arxiv.org·1d
📈Machine Learning