Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

When he was just a teenager trying to decide what to do with his life, César de la Fuente compiled a list of the world’s biggest problems. He ranked them inversely by how much money governments were ...

They’re harnessing it to help directors prepare, debate, and decide. by Stanislav Shekshnia and Valery Yakubovich In 2014 Hong Kong–based Deep Knowledge Ventures formally appointed an algorithm to its ...

Abstract: MapReduce is a type of architecture. Currently, this architecture is widely used because it can increase the performance of the system. MapReduce can be used in different fields like text ...

Amazon is laying off 16,000 employees, the company’s second round of large-scale job reductions in three months as it fights to improve its standing in the battle for AI supremacy. In a blog post ...

Abstract: Training machine learning models often involves solving high-dimensional stochastic optimization problems, where stochastic gradient-based algorithms are hindered by slow convergence.

TikTok has reached a deal that will allow it to keep operating in the United States, with a majority American-owned joint venture, but the terms could change the algorithm for users in the U.S. The ...

An agronomist says farmers are able to reduce crop pests and diseases while improving crop health and yields by analyzing plant sap. Rachelle Moss from Advancing Eco Agriculture tells Brownfield they ...