In synthetic and structural biology, advances in artificial intelligence have led to an explosion of designing new proteins ...

Zehong Wang, Xiaolong Han, Yanru Chen, Xiaotong Ye, Keli Hu, Donghua Yu (2022) Prediction of willingness to pay for airline seat selection based on improved ensemble learning Airlines have launched ...

A team with Professor Krishna Shrinivas designed a computational framework using machine learning algorithms to design ...

Physics-based ML framework designs IDPs—biomolecules without fixed structures that underlie key functions and diseases such as Parkinson’s.

Two-dimensional liquid chromatography (2D-LC) improves chromatographic performance, with LCxLC providing extensive ...

A hybrid fuzzy neural network model enhances prediction accuracy of hardness properties in high-performance concrete, ...

In synthetic and structural biology, advances in artificial intelligence have led to an explosion of designing new proteins ...

A new machine learning method has achieved what even AlphaFold cannot — the design of intrinsically disordered proteins (IDPs), the shape-shifting biomolecules that make up nearly 30% of all human ...

AI’s real power lies not only in logistics efficiency but also in building long-term relationships with customers. Their ...

Spiking Neural Networks (SNNs) are a cutting-edge approach to artificial intelligence, designed to emulate the brain's architecture and functionality. Their ...