News
Background Current risk scores inadequately predict long-term mortality after transcatheter aortic valve replacement (TAVR), ...
5d
AZoBuild on MSNResearchers Develop Machine Learning Model to Predict High-Strength Concrete PerformanceA new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...
The natural protein universe is vast, and yet, going beyond and designing new proteins not observed in nature can yield new ...
3don MSN
Northwestern University and University of California, Los Angeles (UCLA) scientists have developed a new process-based ...
Aramide’s paper titled, ‘Quantum-Safe Networking for Critical AI/ML Infrastructure’, investigates the implications of quantum ...
The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...
Despite the AI hype, ML tools really are proving valuable for leading-edge chip manufacturing. More aggressive feature ...
A machine learning model may help predict mortality for hospitalized patients with cirrhosis at the time of admission, ...
Today, Apple published on its Machine Learning Research blog, select recordings from its 2024 Workshop on Human-Centered ...
Ionic liquids (ILs) are a class of molten salts with a collection of exciting properties, which have been employed for ...
4d
HealthDay on MSNRandom Forest AI Model Superior for Inpatient Mortality Prognostication in CirrhosisFor inpatients with cirrhosis, a machine learning (ML) model using random forest (RF) analysis is superior for prediction of ...
In an era where AI is increasingly powering everyday systems from loan approvals to personalized healthcare, ensuring fairness and mitigating bias in machine learning pipelines has become a top ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results