The latter is limited by the incremental development ... data farms such as this one can facilitate data collection available for analysis, using both traditional statistical methods and machine ...

A machine-learning algorithm demonstrated the capability to process data that exceeds a computer's available memory by identifying a massive data set's key ... sparse matrix, using 25,000 GPUs.

Want to get started in machine learning? Google has you covered with high-quality data sets, both big and small You can always count on Google to have data — tons of it, generated by the users ...

Scientists have successfully tested the use of machine learning ... development for long-acting injectables. However, the study's authors identify that the lack of available open-source data sets ...

From planning to development to management to security, at CA Technologies we create software that fuels transformation for companies in the application economy. By Ayman Sayed, President and ...

Over the past decade, “big data” has become Silicon Valley’s biggest buzzword. When they’re trained on mind-numbingly large data sets, machine ... learning techniques will enable new ML ...

The rule-based systems were built on the hypothesis that expert ... massive grids of connected data to tease out new findings, using AI and machine learning. As addressed in more detail below ...

It applies standard dynamic factor models (DFMs) and several machine learning (ML) algorithms to nowcast GDP growth ... Our approach is easily applicable to other countries, subject to data ...