Combining microscopy and machine-learning techniques leads to faster, more precise analyses of critical coating materials ...
The data mining tools market is set to expand to USD 3.89 billion by 2034, registering a 12.30% CAGR as data-driven ...
Forget waiting a week for mold test results. New electronic nose technology detects toxic indoor mold species in just 30 ...
Artificial intelligence is now woven into everyday life, from search results to workplace tools, and it is very good at ...
Manufacturing technologies have been the first domain to experience this transformation. The review documents how artificial ...
Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...
A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen ...
Microplastics, Microbes, and Water Waves: Nanopore Sequencing and Urban Environmental Sensors for Place-Based Applied Ecological Research Integrating Textual Analytics, Machine Learning, and AI ...
The IMF develops a machine-learning nowcasting framework to estimate quarterly non-oil GDP in GCC countries in real time, ...
ETFs now hold more than 1.3 million coins, representing roughly 6% of all mined BTC. This institutional demand has taken ...
As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines.
Students in the School of Social and Behavioral Sciences and those studying forensic psychology may encounter difficulty in their statistics and research methods classes, but the Statistics and ...