Traditional storytelling focuses on emotion, arc and persuasion. That still matters for humans. But LLMs also require ...

Abstract: In this paper, we give an efficient method for constructing a large set of disjoint spectra functions without linear structures, which are not equivalent to partially linear functions. This ...

Hi and thank you for this fantastic project! I’d like to suggest a feature enhancement that would allow the AI-on-the-edge-device to interpret linear scales, such as those found on analog thermometers ...

Abstract: We consider the scenario in which a set of sources generates messages in a network and a receiver node demands an arbitrary linear function of these messages. We formulate an algebraic test ...

One of the ways that Pi Mu Epsilon promotes scholarship in mathematics is through the publishing of the Pi Mu Epsilon Journal. The sole purpose of this journal is to present papers and mathematical ...

Activation functions play a critical role in AI inference, helping to ferret out nonlinear behaviors in AI models. This makes them an integral part of any neural network, but nonlinear functions can ...

Building on two centuries' experience, Taylor & Francis has grown rapidly over the last two decades to become a leading international academic publisher. The Group publishes over 800 journals and over ...

AssetWise Linear Analytics is a railway decision support system that enables proactive management for linear railway assets. Data is collected and maintained from many sources. This data is often ...

A standard digital camera used in a car for stuff like emergency braking has a perceptual latency of a hair above 20 milliseconds. That’s just the time needed for a camera to transform the photons ...

A linear demand curve is a line representing the relationship between the demand for a product or service and its price. Everyone knows that sales are proportional to price: The more you charge for an ...