Assessing the progress of new AI language models can be as challenging as training them. Stanford researchers offer a new approach.

Adversarial examples (AEs) make Internet-of-Things (IoT) systems to face a great challenge. The tiny fluctuations in AEs mislead the learning model, let the model accept, and make wrong decisions. So, ...

This paper presents methodology of defining the sources of interferences on the basis of measuring the quality of electrical energy and monitoring the selected parameters of voltage and current ...

A novel DFT-based Reaction Kinetics (DFT-RK) simulation approach, employed in combination with real-time data from reaction monitoring instrumentation (like UV–vis, FTIR, Raman, and 2D NMR benchtop ...