As we enter 2026, there are two distinct technologies used by clinicians to interact with the brain: Brain-Computer ...

This project provides an interface for reinforcement learning(RL)-based control of functional mock-up units (FMUs) under uncertainties. The interface is designed to be compatible with the Functional ...

Macronix International Co., Ltd. (TSE: 2337), a leading integrated device manufacturer in the non-volatile memory (NVM) market, today announced the high-performance and efficiency MXSMIO™ family of ...

This is an important study on the sensory roles of Cerebrospinal fluid-contacting neurons (CBF-cn) in mammals. The authors identify PKD2L1 as the predominant pH-sensing channel CBF-cn and show how the ...

Abstract: As transistor scaling approaches its physical limits, performance improvement of modern computing systems is driven by high integration and functional specialization. However, the resulting ...

Even as corporate culture has shifted from performing well in an in-person setting to performing well in a hybrid setting for career growth, the one facet that has remained consistent is that ...

School of Chemical Engineering and Center for Antibonding Regulated Crystals, Sungkyunkwan University, Suwon 16419, Republic of Korea SKKU Institute of Energy Science and Technology (SIEST), ...

Brain-computer interfaces (BCIs) represent a rapidly evolving field within human neuroscience, enabling direct link between the brain and external devices. BCI research is aiming at transitioning from ...

Method references are a shorthand way to write lambda expressions that call a single method. Rather than implementing a method in a functional interface, a method reference simply points to an ...

Abstract: This paper proposes a multi-functional vehicle-to-grid (M-V2G) interface based on the new fundamental active current (FAC) extraction method for shunt compensation (SC) with enhanced dynamic ...