Abstract: Spatio-temporal data like a Dynamically Weighted Directed Network (DWDN) are ubiquitous in bigdata applications like an intelligent recommender system. They commonly illustrate the complex ...

Video game designers have a challenge trying to wrangle inherently complex games, so let's look at some of the ways they make ...

Abstract: In this paper, we present a novel convolution theorem which encompasses the well known convolution theorem in (graph) signal processing as well as the one related to time-varying filters.

Artificial intelligence is consuming enormous amounts of energy, but researchers at the University of Florida have built a chip that could change everything by using light instead of electricity for a ...

KernelOptimizer is an open-source tool that automates CUDA kernel optimization for PyTorch workloads using large language models (LLMs). Inspired by Stanford CRFM’s fast kernel research, it leverages ...

In this video, we will understand what is Convolution Operation in CNN. Convolution Operation is the heart of Convolutional Neural Network. It is responsible for detecting the edges or features of the ...

The laugh-out-loud workplace comedy “30 Rock” (2006–2013) averaged more than seven jokes per minute, using the gamut of gags to get guffaws. Beyond a spectacular cast (Tina Fey, Alec Baldwin, Tracy ...

Contingency management (CM) is a behavioral therapy technique that encourages beneficial behaviors by giving rewards or positive reinforcement. CM incentivizes certain behaviors and discourages ...

From an innovative (and subsequently controversial) opening ceremony to shattered world records across the sports spectrum, the Paris Olympics have marked a celebratory return to the Games we knew and ...

Cognitive dissonance is a psychological term that describes the discomfort you feel when your beliefs don’t line up with your actions. Or it could refer to the tension of holding two conflicting ...