By applying machine learning techniques, engineers at MIT have created a new method for 3D printing metal alloys that produce parts far stronger than those made using traditional manufacturing ...

Abstract: The challenging deployment of compute- and memory-intensive methods from Deep Neural Network (DNN)-based Continual Learning (CL), underscores the critical need for a paradigm shift towards ...

The IMF develops a machine-learning nowcasting framework to estimate quarterly non-oil GDP in GCC countries in real time, ...

Craif Inc. in Nagoya, Japan, working with Nagoya University's Institute of Innovation for Future Society, has developed a ...

Learning how a physical system behaves usually means repeating measurements and using statistics to uncover patterns. That ...

Abstract: Active learning (AL) is a semi-supervised learning algorithm based on human-computer interaction. It aims to achieve satisfactory performance with less manual annotation costs. How to select ...

The tensile testing machine described here is a fully open-source device designed to determine the mechanical tensile strength of test specimens. At its core, it uses a single-board computer ...

Test vendors use AI and machine learning to handle massive data volumes from complex electronics and detect hard-to-find ...