Show HN: ΣPI – Observe the Cognitive Ability of Your AI Model
github.com·1d·
Discuss: Hacker News, Hacker News
🏗️AI Infrastructure
Navy SEALs, Performance vs. Trust, and AI
mljar.com·13h·
Discuss: Hacker News
🏗️AI Infrastructure
Meta's V-JEPA 2 Aims to Redefine AI's Spatial Reasoning Without Video Data
gazeon.site·1d·
Discuss: Hacker News
🏗️AI Infrastructure
General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound
arxiv.org·1d
🏗️AI Infrastructure
RL for Reasoning by Adaptively Revealing Rationales
arxiv.org·2d
🏗️AI Infrastructure
DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data
arxiv.org·2d
🍄Mycelium Networks
Heart Disease Predictor using KNN(ML) algorithm
dev.to·1d·
Discuss: DEV
🧬Computational Biology
Unlocking Hyper-Security: The Power of AI in Multi-Modal Biometric Systems
dev.to·1d·
Discuss: DEV
🔐Decentralized Identity
AI Agents in the Cloud: The Rise of Agentic Cloud Architecture
dev.to·1d·
Discuss: DEV
🤖AI agents
Curating art exhibitions using machine learning
arxiv.org·1d
🏗️AI Infrastructure
AI in the Cloud: Optimizing and Future-Proofing Your Strategy
dev.to·2d·
Discuss: DEV
🏗️AI Infrastructure
Perspectives in Play: A Multi-Perspective Approach for More Inclusive NLP Systems
arxiv.org·20h
🎤Voice Interfaces
On Equivariant Model Selection through the Lens of Uncertainty
arxiv.org·2d
👥Digital Twins
Plan for Speed -- Dilated Scheduling for Masked Diffusion Language Models
arxiv.org·1d
💻Local LLMs
Persona-Assigned Large Language Models Exhibit Human-Like Motivated Reasoning
arxiv.org·20h
🏠Self-hosted AI
Elucidated Rolling Diffusion Models for Probabilistic Weather Forecasting
arxiv.org·20h
⏱️TimescaleDB
Taming the Wild West of ML: Practical Model Signing with Sigstore on Kaggle - DevConf.CZ 2025
youtube.com·16h
💻Local LLMs
INRFlow: Flow Matching for INRs in Ambient Space
machinelearning.apple.com·21m
☁️Serverless Rust
The AI Geopolitical Race: A New Frontier in Global Power
dev.to·5h·
Discuss: DEV
⚖️Consensus Networks
Towards Deeper GCNs: Alleviating Over-smoothing via Iterative Training and Fine-tuning
arxiv.org·2d
💻Local LLMs