Rose Yu has drawn on the principles of fluid dynamics to improve deep learning systems that predict traffic, model the ...

For decades, engineers have utilized Petri nets to develop automated systems with specific functional requirements or ...

Endogenous intracellular allosteric modulators of GPCRs remain largely unexplored, with limited binding and phenotype data available. This gap arises from the lack of robust computational methods for ...

The strategy for encoding Petri nets as chained linear lists involves two structures: one for PList placements and one for TList transitions. This is the orthogonal representation of chained linear ...

Forrester Research continues to run a uniquely conservative balance sheet. Check out the technical analysis of FORR stock and ...

For example, imagine an algorithm that’s designed to find the fastest route between two points. There are lots of possible ways to design such an algorithm so ... works in an abstracted road map ...

In-depth methodology explores the design and analysis of LLM-based algorithms using computational graphs. Each algorithm is represented as a graph with nodes representing LLM calls or traditional ...

The panel was titled “Can Biased Humans Design Unbiased Algorithms?” Let me start by acknowledging ... We therefore plan to augment our model with facial analysis and psychometrics to identify ...

cross-platform interface and algorithms. DPABINet's intuitive graphical interface (GUI) empowers users to seamlessly construct brain networks, conduct graph theory analysis, and perform ...