Interesting Engineering on MSN
New adaptive system lets robots replicate human touch with far less training data
Japanese researchers develop an adaptive robot motion system that enables human-like grasping using minimal training data.
A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.
These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.
Tech Xplore on MSN
Adaptive motion system helps robots achieve human-like dexterity with minimal data
Despite rapid robotic automation advancements, most systems struggle to adapt their pre-trained movements to dynamic ...
The study by researchers at Benha University shows that cost overruns in Egyptian road projects are mainly caused by unclear ...
Persistent depression following transient ischemic attack is associated with a 4-fold increase in 5-year all-cause mortality and higher disability.
Daily Guide Ghana on MSN
Machine Learning Weather Models Are Transforming Climate Forecasting Across Africa
As climate extremes intensify across Africa, the need for accurate and timely weather prediction has become increasingly ...
News-Medical.Net on MSN
Steady decline in antibiotics for childhood respiratory infections
Norwegian study finds reduced antibiotic use for childhood respiratory infections, yet high prescriptions for ear infections ...
Integrating the ultrasound sliding sign helps predict stage IV ovarian endometriosis, according to a study published in Fertility and Sterility.
That challenge is examined in the study Towards Eco-Friendly Cybersecurity: Machine Learning-Based Anomaly Detection with ...
Adults who reported 2 to less than 3 hours of weekend catch-up sleep had a significantly lower prevalence of CKD compared with those reporting less than 1 hour of WCS (AOR, 0.44; 95% CI, 0.21-0.88).
Objective: To understand patient portal engagement stratified by patient characteristics among adults 50 years and older with at least 1 common chronic medical condition using electronic health ...
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