Fine-tuning TCAD parameters with real-world feedback from test wafers is essential for quantitatively accurate and predictive results.

A team of physicists has designed quantum algorithms that can model one of the most elusive behaviors in nature: a photon ...

A recent publication from IMDEA Materials Institute and the Technical University of Madrid (UPM) presents a major step ...

The developers of Pixel Societies are using AI agents to simulate social interactions. It's an attempt optimize the process of choosing new colleagues, friends, and even romantic partners.

User simulators serve two critical roles when integrated with interactive AI systems: they enable evaluation via repeatable, ...

Abstract: Chiplet heterogeneous integration (CHI) is one of the important technology choices to continue Moore’s law. However, due to the characteristics of high power and low supply voltage in CHI ...

Artificial intelligence has already proven it can perform specific medical tasks, such as interpreting X-rays or flagging ...

The quantum layer will will not be exhausted by one hardware modality, one algorithmic framework or one vendor’s roadmap.

Researchers at The University of Manchester have created a groundbreaking physics‑informed machine‑learning model that can run molecular simulations for unprecedented lengths of time, even at ...

Abstract: This article presents a learning model predictive control (LMPC) method for nonlinear systems with additive state-dependent uncertainties. Both the residual part of the system and the ...