#machine-learning
Aembit Joins Snowflake to Tackle AI’s Not a Contradiction
Cursor has built a machine for not needing the best model. The Router sends hard work to frontier models and everything else to efficient ones, delivering frontier quality at roughly 60% lower cost. The swarm research pairs a frontier planner with Composer wo…
Pollution removal efficiency enhancement by agricultural biomass additions in constructed wetlands: A framework integrating meta-analysis with explainable machine learning
The agricultural biomass addition on constructed wetlands (CWs) is a sustainable strategy that integrates pollution control with waste valorization. However, their widespread applications remain constrained by variations in biomass types, pretreatments, and s…
More than 10% AI solutions and machine learning engineer jobs in India waiting to be filled: Randstad Digital report
India faces a significant AI talent crunch, with one in ten AI solutions lead and machine learning engineer job postings unfilled. While India holds a fifth of global AI job openings, the primary challenge is a shortage of advanced skills, not a lack of peopl…
A Eureka machine that thinks like nature and explores what AI cannot
IISc is the premier institute for advanced scientific and technological research and education in India.
High-resolution automated mapping of potential Aedes larval container habitats using drone imagery and supervised machine learning in Dar es Salaam, Tanzania
Author summary Mosquito-borne diseases like dengue and Zika are increasingly a public health threat in African cities, driven by Aedes mosquitoes that breed in small water-holding containers scattered across densely populated neighborhoods. Controlling these …
Determinants of maternal postnatal care utilization in Bangladesh: A machine learning and SHAP-based analysis of BDHS 2022 data
Postnatal care (PNC) plays a crucial role in minimizing maternal and neonatal morbidity and mortality, but the uptake of services in Bangladesh remains below the recommended level. Although logistic regression has been widely used, it may miss complex nonline…
Indian firms spending 1.6x more than global peers on smart mfg in high spend bracket: Rockwell
Indian companies are investing heavily in smart manufacturing, outspending global counterparts. Digital transformation is key for competitiveness. Many Indian manufacturers use AI and machine learning, with AI-augmented operations set to increase significantl…
zse-engine added to PyPI
Zero-dependency LLM inference engine. Fastest cold start, smallest VRAM footprint. CUDA + ROCm + Metal.
Experimental and predictive analysis of pile raft foundation in clayey soils using machine learning and MATLAB tools
Scientific Reports - Experimental and predictive analysis of pile raft foundation in clayey soils using machine learning and MATLAB tools
Classification of soft decision-making methods via fuzzy parameterized fuzzy soft matrices and their performance-based statistical analysis in machine learning
This study provides a comprehensive evaluation and classification of 35 soft decision-making (SDM) algorithms based on fuzzy parameterized fuzzy soft matrices (fpfs-matrices). Although fpfs-matrices offer a strong mathematical framework for modeling uncertain…
How to Build Vector Search From Scratch in Python
Learn how to build a vector search engine from scratch in Python with embeddings, similarity scoring, and basic retrieval logic.
AI-based Research Services Market to Surpass USD 35,420.4 Million by 2035 as Synthetic Data and Predictive Intelligence Transform Enterprise Decision-Making
NEWARK, Del., May 6, 2026 /PRNewswire/ -- According to the latest analysis by Future Market Insights, the global AI-based research services market is undergoing a rapid transformation, driven by the integration of artificial intelligence into consumer insight…
Explainable AI-driven diagnosis model for early glaucoma detection using grey-wolf optimized extreme learning machine approach
Author summary Glaucoma is one of the leading causes of irreversible blindness worldwide, yet it often remains undetected until significant vision loss has occurred. In this study, we developed GlaucoXAI, an explainable artificial intelligence (AI) model that…
xoin-py added to PyPI
Structured LLM responses across OpenAI, Anthropic, DeepSeek, and Mistral (async, Pydantic schemas).