Quantum walks sound abstract, but they sit at the center of a very concrete race: who will harness quantum mechanics to solve ...

Abstract: Graph cut algorithms are widely used to solve min-cut/max-flow problems across various optimization applications. A common approach in recent FPGA accelerators of graph cut algorithms is to ...

One major issue facing artificial intelligence is the interaction between a computer's memory and its processing capabilities. When an algorithm is in operation, data flows rapidly between these two ...

Businesses trust on major carriers as FedEx, UPS, DHL, and others, but increasing costs, complex prices, and inconsistent billing made shipping costs nearly unpredictable. Companies frequently lack ...

The first thing to understand about the TikTok deal is that it’s not actually a deal—at least not in any official capacity yet. Trump’s executive order Thursday simply delays the Chinese social media ...

The electric vehicle revolution is here. For businesses, commercial properties, and apartment buildings, installing Bornes de recharge pour véhicules électriques is no longer a luxury—it’s a necessity ...

import torch @torch.compile(backend="inductor") def fn(src, index, base_tensor): src = src + 10 torch.use_deterministic_algorithms(True) base_tensor.scatter_(0, index ...

This repository contains the source code and datasets for our proposed framework on temporal action segmentation, as described in the paper titled Semantic Smoothness Optimization via Graph-Cut Energy ...

As pressure to reduce costs increases, CFOs have an opportunity to deepen their cross-functional influence and fortify their advisory role to the CEO and other C-suite leaders. Capitalizing on this ...