Convolutional neural networks provide stronger predictive performances for pharmacological assays compared to traditional machine learning models.

Convolutional neural networks provide stronger predictive performances for pharmacological assays compared to traditional machine learning models.
A team of data scientists has developed a general-purpose recommendation system for insurance based on Bayesian networks and deep learning.
Assembling nanoparticles into macroscale structures could provide new, durable materials for a range of fields and applications.
Researchers at KIT in Germany demonstrate reverse surface wettability by salinization.
Robotic systems have the potential to aid and complement healthcare in an effort to spark novel interdisciplinary initiatives between medical, engineering, and science communities.
A new technique opens up new possibilities in membrane fabrication.
A new stretchable and conductive nanocomposite shows promise as a biocompatible material for correcting arrhythmia in patients.
A soft robotic actuator harnesses the elastic snap‐through and snap‐back instability of a rubber balloon to realize rapid, large deformations.
A new dielectric coating could help solve a long-standing problem and enhance the performance of lithium-rich materials.
Researchers use hot water and pressure to circumvent the need to use toxic chemicals in the production of organic plastics.