A research team has developed DeepCodon, a deep learning–based codon optimization tool that significantly improves heterologous protein expression in Escherichia coli while preserving functionally ...

Real-time curation of media is critical as consumer attention continues to fragment across streaming TV, audio, display, and mobile channels. By fully integrating Cognitiv’s deep learning models, ...

The study identifies responsible AI as being most visible in conceptual and policy-oriented research, addressing issues such ...

This technical paper titled “DNN-Opt: An RL Inspired Optimization for Analog Circuit Sizing using Deep Neural Networks” is co-authored from researchers at The University of Texas at Austin, Intel, ...

A research team has introduced a lightweight artificial intelligence method that accurately identifies wheat growth stages ...

Exponentially Weighted Moving Average or Exponential Weighted Average is a very important concept to understand Optimization in Deep Learning. It means that as we move forward, we simultaneously ...

In this recurring monthly feature, we filter recent research papers appearing on the arXiv.org preprint server for compelling subjects relating to AI, machine learning and deep learning – from ...