Explore the role of activation functions in deep learning and how they help neural networks learn complex patterns. China reacts to Trump tariffs bombshell 11 Expensive Steakhouse Chains That Aren ...

Deep learning-powered 'DeepEC' helps accurately understand enzyme functions. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2019 / 07 / 190709110217.htm ...

The work has launched a race to blow up the fluid equations: on one side, the deep learning team; on the other, mathematicians who have been working with more established techniques for years.

Dr. Erijman and colleagues used a large set of random synthetic 30-mer peptides to screen for AD function in yeast and used it to train a deep neural network. This work was possible thanks to major ...

Porous-DeepONet, a novel deep learning framework, efficiently solves parameterized PDEs in porous media by capturing complex features using convolutional neural networks. It significantly ...

At 12 weeks, patients treated with ENV-101 showed statistically significant increases in lung volume compared with those ...

Those shapes determine how a protein will function. For more than 50 years, that folding process baffled researchers. Cheng was among the first to apply deep learning, a type of AI, to the problem.