Philip Ball dives into the challenges in developing quantum computing, and building up investments and users for the tech ...

Some of the world’s most interesting thinkers about thinking think they might’ve cracked machine sentience. And I think they ...

UC Santa Barbara computer scientist Daniel Lokshtanov is advancing fundamental understanding of computational efficiency through groundbreaking research on quasi-polynomial time algorithms, supported ...

In this article, we will be sharing some free Python programming courses offered by SWAYAM, MIT and Google that can be great ...

Some of the key interactions between IP law and quantum computing involve the intersection of patents and copyright—each of which impacts how companies protect quantum computing hardware and software, ...

The Minister of Labor, Younes Sekkouri, exclusively unveils the outlines of the historic Labor Code reform, which for the ...

ABSTRACT: The study adapts several machine-learning and deep-learning architectures to recognize 63 traditional instruments in weakly labelled, polyphonic audio synthesized from the proprietary Sound ...

A minor proprietor will observe customers who hyped about their product. They are interested in transforming this excitement into expansion. Exit, such as referral programs, e.g., the idea to give 10 ...

Remote sensing is a key tool to derive glacier surface velocities but existing mapping methods, such as cross-correlation techniques, can fail where surface properties change temporally or where large ...

Abstract: In this paper, we develop a data-driven iterative adaptive dynamic programming algorithm to learn offline the approximate optimal control of unknown discrete-time nonlinear systems. We do ...