Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...
Breakthrough AI foundation model called BrainIAC is able to predict brain age, dementia, time-to-stroke, and brain cancer ...
South Korean researchers have developed a guided-learning framework that accurately predicts PV power without requiring irradiance sensors during operation, using routine meteorological data instead.
In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...
Around the world, millions of families have suffered forcible separation, through war, trafficking, natural disasters, or ...
Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...
New performance gains will not come from bigger models, but from better approaches. That shift should matter to every ...
Researchers from King Abdullah University of Science and Technology (KAUST) have developed deepBlastoid, the first deep-learning platform specifically designed for the high-throughput, automated ...
A novel machine learning version of the Opioid Risk Tool provides high precision screening for opioid use disorder in chronic pain patients.
The 70-20-10 rule is a powerful framework for team development, emphasizing that 70% of learning occurs through on-the-job experiences, 20% through mentorship, and 10% via formal education. This model ...
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