BIOENGINEER

Machine learning model predicts tensile strength of fiber-reinforced polymer composites

A machine-learning framework combining neural-network prediction, SHAP explainability and genetic-algorithm optimization ...
BIOENGINEER

Machine Learning Accurately Predicts Capacity of Long Bolted Steel Modular Joints

Researchers have demonstrated that machine learning algorithms and symbolic regression can accurately predict the ultimate moment capacity and failure modes of long-bolted steel connections in modular ...

The Evolutionary Arc From Pigeon Brains to Machine Consciousness

Earlier this year, a bonobo named Kanzi (now deceased) was shown to interact with imaginary grapes and juice, suggesting a ...
The Sentinel

Solving optimization problems with machine learning

Researchers test machine learning and genetic algorithms to improve solutions to the quadratic multidimensional knapsack ...
Morning Overview on MSN

Native Hawaiians’ closest genetic relatives are the people of Rapa Nui, more than 4,000 miles away

Native Hawaiians are most closely related to the people of Rapa Nui, also known as Easter Island, according to a genome study ...
European Coatings

AI Framework Optimises Infrared Curing of Powder Coatings

Researchers have combined the Tabular Prior-data Fitted Network (TabPFN) with the NSGA-II genetic algorithm to predict and ...
Rebellion Research

Dynamic Asset Allocation Using Machine Learning for Risk Management

Explore dynamic asset allocation using machine learning to adapt portfolio weights, interpret market signals, and balance ...
Science

Structural bias enables reliable sim-to-real transfer in reinforcement learning for robot swarms

Constraining policies to select behavior modules allows reinforcement learning transfer from simulation to real robot swarms.
PBS

Ghost in the Machine

Ghost in the Machine reveals AI’s troubled history and present-day impacts. Ghost in the Machine reveals how the human values, biases, and power structures behind artificial intelligence are shaping ...
Medical Xpress

Machine learning approach could bring greater certainty to prenatal genetic testing

Advances in genome sequencing are giving more families access to prenatal genetic testing and new information about an unborn baby's health, including whether genetic changes may be linked to a ...
Medscape

Machine Learning Model Boosts Genetic Prediction of T1D Risk

A machine learning model, T1GRS, that used 160 genetic risk signals identified by researchers, improved prediction of type 1 diabetes (T1D) compared to a previous genetic risk score (GRS) in Europeans ...
Health Affairs

The Trillion-Dollar Algorithm: Lessons From Machine Learning For MA Risk Adjustment

The current MA risk adjustment model has shortcomings, both in predictive accuracy and payment equity across the Medicare program, which could be mitigated using lessons from machine learning. MA ...