Development and validation of an interpretable machine learning model for early prediction in patients with diabetes and sepsis  NatureRead More

Hybrid Wavelet–ML models for regional drought forecasting in Norway  NatureRead More

A deep hybrid inception network model with entropy based attention for automated iron ore image characterization  NatureRead More

Multi-stage iterative compressed sensing framework based on DIFF transformer and ISTA for remote sensing images  NatureRead More

An interpretable crop leaf disease and pest identification model based on prototypical part network and contrastive learning  NatureRead More

ClickHouse Acquires LibreChat to Democratize AI-Driven Analytics Through the Open-Source Agentic Data Stack  bastillepost.comRead More

Uncovering the Invisible: Novel Algorithm Identifies Hidden Root Traits to Boost Drought-Resilient Crops  Bioengineer.orgRead More

Meet Project Suncatcher, a research moonshot to scale machine learning compute in space.  blog.googleRead More

Beginner’s Guide to Data Extraction with LangExtract and LLMs  KDnuggetsRead More

A large language model for deriving spectral embeddings for accurate compound identification in mass spectrometry  NatureRead More