As a fundamental technology of artificial intelligence, existing machine learning (ML) methods often rely on extensive human intervention and manually presetting, like manually collecting, selecting, ...

A biopharma company specializing in difficult-to-produce biologics has developed a deep learning model to rapidly predict protein expression using their moss-based production process. The model can ...

Affective computing, a field focused on understanding and emulating human emotions, has seen significant advancements thanks to deep learning. However, researchers at the Technical University of ...

Researchers in China conceived a new PV forecasting approach that integrates causal convolution, recurrent structures, attention mechanisms, and the Kolmogorov–Arnold Network (KAN). Experimental ...

The seven-month programme is aimed at working professionals seeking to build production-ready artificial intelligence ...

During early development, tissues and organs begin to form through the shifting, splitting, and growing of many thousands of cells. A team of researchers headed by MIT engineers has now developed a ...

Crop nutrition and quality formation are complex processes influenced by genotype, environment, and management practices. Remote sensing and proximal ...