When the COVID-19 pandemic hit, aid organizations worldwide struggled to identify vulnerable households quickly and fairly. Many people who needed help were left behind.
Thinking Machines Lab challenges OpenAI’s scaling-first approach to artificial intelligence, arguing that true ...
Abstract: Identifying positive influence dominating set (PIDS) with the smallest cardinality can produce positive effect with the minimal cost on a social network. The purpose of this article is to ...
The original version of this story appeared in Quanta Magazine. For computer scientists, solving problems is a bit like mountaineering. First they must choose a problem to solve—akin to identifying a ...
Wind Engineering, Vol. 45, No. 2 (April 2021), pp. 381-399 (19 pages) It is very important to select proper maximum power point tracking algorithm in order to achieve best performance and low cost for ...
ABSTRACT: In this paper, an alternating direction nonmonotone approximate Newton algorithm (ADNAN) based on nonmonotone line search is developed for solving inverse problems. It is shown that ADNAN ...
An international research team has developed a particle swarm optimization (PSO) algorithm based on quantum computing for real-time maximum power point tracking (MPPT) implementation in PV systems.
Computer scientists have written a network flow algorithm that computes almost as fast as is mathematically possible. This algorithm computes the maximum traffic flow with minimum transport costs for ...