Quantum gravity research links continuous parameters to local operators within the theory itself

A researcher at Kyushu University and his collaborators have shown that continuous parameters in quantum gravity may not be ...
Morning Overview on MSN

Large AI models learn by tuning billions of internal settings called parameters

Researchers at OpenAI trained a single language model on 175 billion learned numerical weights, each one adjusted during training to predict the next word in a sequence. That model, GPT-3, ...
IEEE

S-Parameters for High Speed Digital Engineers: A Beginner's Guide

Abstract: Scattering or S-parameters, have been used in RF applications for more than 70 years [1]. However, it has only been in the last 30 years they have been used extensively in high-speed digital ...
IEEE

CruParamer: Learning on Parameter-Augmented API Sequences for Malware Detection

Abstract: Learning on execution behaviour, i.e., sequences of API calls, is proven to be effective in malware detection. In this paper, we present CruParamer, a deep neural network based malware ...