Recently, model-based reinforcement learning has been considered a crucial approach to applying reinforcement learning in the physical world, primarily due to its efficient utilization of samples.

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 ...

The return to project-based learning, paired with today's AI tools, has created a new learning paradigm. Here, Mark Frydenberg, distinguished lecturer of Computer Information Systems and director of ...

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 ...

A recent study suggests that a freely available AI tool could help predict dangerous complications after stem cell transplants.

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...

As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...

Long-Term Survival and Biomarker Analysis Evaluating Neoadjuvant Plus Adjuvant Relatlimab (anti-LAG3) and Nivolumab (anti-PD1) in Patients With Resectable Melanoma Our study included a broad cohort of ...