Machine learning and cell imaging combine to predict effectiveness of multiple sclerosis medication

Brazilian researchers, in partnership with French institutions, have developed a tool that can predict how patients will respond to natalizumab, one of the most commonly used drugs for treating ...

A Startup Used AI to Make a Psychedelic Without the Trip

Mindstate Design Labs, backed by Silicon Valley power players, has created what its CEO calls “the least psychedelic ...
GlobalSpec Insights

Allrounder More 2000: Multi-component injection molding of 2C dominoes

Within the production cell, a Multilift V 30 removes the finished molded parts from the mold and places them on a conveyor ...
IEEE

An Intelligent Multi-Depot Vehicle Routing and Management Model for Smart Cities

Abstract: In the era of crowd delivery vehicle routing and traffic management in smart cities, a complex challenge appears indistinctly, affecting both developed and developing nations worldwide. This ...
IEEE

A Combined Diffusion Model and Reinforcement Learning Approach for Solving the Vehicle Routing Problem With Multiple Soft Time Windows

Abstract: The Vehicle Routing Problem with Multiple Soft Time Windows (VRPMSTW) is a challenging combinatorial optimization problem where a fleet of vehicles must deliver goods to a set of customers, ...
Scientific Research Publishing

A New Method to Predict the Mechanical Behavior for a Family of Composite Materials ()

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...