Abstract: A number of machine learning (ML) algorithm based small signal modeling of Gallium Nitride (GaN) High Electron Mobility Transistors (HEMTs) have been reported in literature. However, these ...
Abstract: Development partnerships that overcome the intrinsic limitations of individual organizations are essential to achieve the goals of the 2030 Agenda for Sustainable Development. However, one ...
For the first time, a research team has demonstrated an artificial intelligence semiconductor technology that integrates the ...
Executives are making significant investment decisions based on AI outcomes they cannot independently verify. A machine ...
Target built a generative AI system to improve marketing campaign forecasting by retrieving and ranking similar historical ...
Moving forward requires coordinated technical, policy, and educational responses. An outright ban on AI in peer review, as is ...
Structural biology has long been a leader in open data culture; the Protein Data Bank (PDB), Electron Microscopy Data Bank (EMDB), and Biological Magnetic ...
Cardiovascular diseases remain a leading cause of mortality globally, driving the need for more precise diagnostic and predictive tools. Traditional ...
Practical implementation of an astoundingly simple method for self-supervised learning that achieves a new state of the art (surpassing SimCLR) without contrastive learning and having to designate ...
A vast amount of time series datasets are organized into structures with different levels or hierarchies of aggregation. Examples include cross-sectional aggregations such as categories, brands, or ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results