Abstract: In this paper, a distributed online sequential zero-gradient-sum algorithm is proposed, which is based on the discretetime zero-gradient-sum algorithm for directed networks. It also ...

Rohan Nambiar ’27, an Associate Editorial editor, is a double concentrator in Mathematics and Economics in Leverett House. What’s in a grade? Grades are tools to promote learning. Yet the 20 percent ...

Panda’s Box has raised Rs 1.2 crore after appearing on Shark Tank India. The funding was jointly backed by Aman Gupta and Namita Thapar. The funds will be used to invest in product development, expand ...

Like humans, artificial intelligence learns by trial and error, but traditionally, it requires humans to set the ball rolling by designing the algorithms and rules that govern the learning process.

An artificial-intelligence algorithm that discovers its own way to learn achieves state-of-the-art performance, including on some tasks it had never encountered before. Joel Lehman is at Lila Sciences ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

Although artificial intelligence (AI) can adapt to changing conditions and achieve desired outcomes, how algorithms “understand” and adjust to inputs can be a mystery. Lin et al. sought to uncover ...

Patent applications on artificial intelligence and machine learning have soared in recent years, yet legal guidance on the patentability of AI and machine learning algorithms remains scarce. The US ...

ABSTRACT: In this paper, we investigate the convergence of the generalized Bregman alternating direction method of multipliers (ADMM) for solving nonconvex separable problems with linear constraints.

Given an integer array nums, return an array answer such that answer[i] is equal to the product of all the elements of nums except nums[i]. The product of any prefix or suffix of nums is guaranteed to ...