Our work studies neural network controllers and observers with provable Lyapunov stability guarantees. Due to the complexity of neural networks and nonlinear system dynamics, it is often challenging ...

Abstract: Some interesting theoretical aspects of graph bisection, a fundamental problem with several applications in the design of very-large-scale-integrated (VLSI) circuits, are presented.

This study examined the important question of how neurons code temporal information across the hippocampus, dorsal striatum, and orbitofrontal cortex. Using a behavioral task in the rat that requires ...

Designing automotive Advanced Driver Assistance Systems (ADAS) applications can be incredibly complex. State-of-the-art ADAS and autonomous driving systems use ‘sensor fusion’ to combine inputs from ...

Soy is found in almost everything we eat—from the vegetable oil in store-bought hummus, to the lecithin found in chocolate bars; it’s in the mono- and diglycerides in hot chocolate packets and the ...

The Chevy Caprice has long been a symbol of full-size American luxury, cruising down boulevards and highways since the ‘60s. For decades, the Caprice nameplate represented comfort, style, and a ...

As we are fond of pointing out, when it comes to high performance, low latency InfiniBand-style networks, Nvidia is not the only choice in town and has not been since the advent of InfiniBand ...

Assessment of cognitive impairments is a vital part of clinical practice. Cancellation (visual search) and line bisection are commonly used tasks to assess visuospatial attention. Despite the fact ...

Despite relatively accurate time judgment, subjective time is susceptible to various contexts, such as sample spacing and frequency. Several electroencephalographic (EEG) components have been linked ...