It was previously thought that children younger than 7 couldn't find efficient solutions to complex problems, but new ...

This update sets a strong precedent for other technologies to follow suit in ensuring their readiness for the post-quantum ...

Researchers now say OpenAI’s GPT-5 has helped prove strict limits on QMA. The model suggested a mathematical expression that ...

A new class of highly efficient and scalable quantum low-density parity-check error correction codes, capable of performance ...

Intelligent agriculture requires precise, real-time control of diverse systems ranging from greenhouse climates to autonomous ...

AI is a set of algorithms capable of solving problems. But how relevant are they to the tasks that EDA performs?

Gonçalo Perdigão, entrepreneur, consultant and author of Building Creative Machines, explores how generative A.I. is recoding the economics of creativity. Drawing on his cross-sector experience in ...

The Wireless Research Center at the American University in Cairo has been contributing to advancing QC applications, ...

Abstract: In this article, we develop a continuous-time algorithm based on a multiagent system for solving distributed, nonsmooth, and pseudoconvex optimization problems with local convex inequality ...

When Dr Almaz Yohannis-Mbathi steps into her lecture hall at the University of Nairobi, she carries more than just books and notes. The computing and informatics lecturer brings more than 20 years of ...

Abstract: The Travelling Salesman Problem (TSP) is a well known method for the optimisation problem that asks you to find the shortest route that visits each city in a set exactly once and then goes ...