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

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, ...

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

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 ...

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

Residential heating, ventilation, and air conditioning (HVAC) systems constitute a significant proportion of energy usage in buildings, necessitating energy management optimization. In this context, ...

Mingtu Communication Service Co., Ltd. in Nantong has recently applied for a patent titled "A Dynamic Collaborative Scheduling Method and System for Smart Factories Based on Big Data," marking an ...