The launch addresses a problem every security leader knows but few tools have solved: threat modeling is essential, never more so than in an AI-driven era, yet it has remained slow, manual, and ...

This study proposes modeling methodology based on a continuous model for conducting thermo-electric-structural analyses of V-NAND flash memory structure under the Joule heating effect. The modeling ...

Researchers have developed a new forecasting model that helps companies more accurately estimate how many customers are interested in a product -- even when key data is missing. The study introduces a ...

Since the connection method at the boundary of the hybrid FE-SEA (finite element-statistical energy analysis, FE-SEA) model affects the overall calculation accuracy ...

Systems biology is a rapidly evolving discipline that examines the complex interactions underlying biological function ...

A variety of linear models are available to represent common active electronic devices such as transistors and vacuum tubes. Devices operating under large-signal conditions often require nonlinear ...

A new technical paper titled “System-performance and cost modeling of Large Language Model training and inference” was published by researchers at imec. “Large language models (LLMs), based on ...

Founder and Managing Principal of DBP Institute. I consult companies on how to transform technology and data into a valuable business asset. Today, every company is looking at data and analytics to ...

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...