Machine learning unlocks blood test secrets for spinal cord injury
Routine blood samples, such as those taken daily at any hospital and tracked over time, could help predict…
OpenAI chairman shares vision on travel’s AI future
The travel industry has spent the last few years exploring how artificial intelligence (AI) and agentic AI will…
AI Tool Flags Predatory Journals, Building a Firewall for Science
Summary: A new AI system developed by computer scientists automatically screens open-access journals to identify potentially predatory publications.…
AI Is Eliminating Jobs for Younger Workers
Economists at Stanford University have found the strongest evidence yet that artificial intelligence is starting to eliminate certain…
Predicting water quality index using stacked ensemble regression and SHAP based explainable artificial intelligence
Evaluation and comparison of individual regression models The performance of individual regression models, which includes XGBoost, CatBoost, Random…
How to Get the International Monetary Fund to Think – Sri Lanka Guardian
When will the International Monetary Fund (IMF) learn to think? Over its eighty-one year history, the IMF has…
Can AI Solve Quantum Physics?
The two most chaotic forces in modern science – artificial intelligence and quantum mechanics – may be humanity’s…
Northeastern State University launches Artificial Intelligence and Data Analytics degree | Education
TAHLEQUAH – In response to the explosive growth of artificial intelligence and data-driven decision-making in today’s economy, Northeastern State…
3D IntelliGenes: AI/ML application using multi-omics data for biomarker discovery and disease prediction with multi-dimensional visualization | BMC Medical Research Methodology
3D IntelliGenes is composed of two modules: (1) AI/ML-Ready Data and Algorithms and (2) 3D Visualization, each containing…
Science is often inaccessible. This program is teaching scientists to communicate through art | Lifestyle
Christina Simms wouldn’t call herself an artist. The Howard University student was a budding scientist visiting to do…
Integrating system dynamics and machine learning for environmental impact analysis of building materials in the demolition process
System dynamics (SD) model development The SD model was developed to assess the environmental impacts associated with the…
Modeling residue formation from crude oil oxidation using tree-based machine learning approaches
Harding, T. Methods to enhance success of field application of in-situ combustion for heavy oil recovery. SPE Reservoir…