Researchers have developed a machine learning workflow to optimize the output force of photo-actuated organic crystals. Using LASSO regression to identify key molecular substructures and Bayesian ...

Trustwise, the AI trust and optimization company, in collaboration with researchers from the New York University (NYU) Center for Data Science and Tandon School of Engineering, have unveiled a ...

From predictive analytics to autonomous control, AI is making renewable energy systems smarter, faster, and more efficient.

In a rapidly evolving digital landscape, machine learning is at the forefront of computational advancements, revolutionizing industries from healthcare to finan ...

Abstract: Bayesian optimization (BO) is a sequential approach for optimizing black-box objective functions using zeroth-order noisy observations. In BO, Gaussian processes (GPs) are employed as ...

Building on this, we have developed an ANFIS (Adaptive Neuro-fuzzy Inference System) structure utilizing global Bayesian optimization and grid partitioning (GP), which integrates the advantages of ...

A recent study introduces an advanced anomaly-based intrusion detection system (IDS) designed to address the increasing cyber ...

In diabetes care, AI has propelled the field forward through predictive modeling, decision support, and real-time glycemic ...

Enhanced computing performance is achieved using nanomaterial-based probabilistic-bits with high operational stability.

As we mature from childhood, our vocabulary—as well as the ways we use it—grows, and our experiences become richer, allowing ...

Detailed price information for Trio Petroleum Corp (TPET-A) from The Globe and Mail including charting and trades.