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 ...
Crop nutrition and quality formation are complex processes influenced by genotype, environment, and management practices.
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, ...
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Exponential moving averages in deep learning explained
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 ...
A research team has introduced a lightweight artificial intelligence method that accurately identifies wheat growth stages ...
Mediago And Hipto Win Two Les Cas D'or Honors For Deep Learning-Driven Insurance Lead Generation. MediaGo / Key word(s): ...
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