Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...
Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New ...
QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...
Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...
Around the world, millions of families have suffered forcible separation, through war, trafficking, natural disasters, or ...
Researchers have developed a new machine-learning-assisted approach to optimize micro-electro-discharge machining (µ-EDM) of ...
The authors analyze the interest rate risk in the banking book regulations, arguing that financial institutions must develop robust models for forecasting ...
The question of whether prehospital emergency anaesthesia and intubation improves survival in patients with major trauma has ...
New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...
Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New ...