BioStem remains committed to advancing evidence-based innovation in wound care through rigorous clinical research and real-world data analysis, supported by its proprietary BioRetain ® process and ...

"Providing clarity around modern statistical methods will help sponsors bring more cures and meaningful treatments to ...

At a moment when the AI industry is obsessed with bigger models and higher scores, Professor Ganna Pogrebna opened the ...

NTN applies AI and machine learning to accelerate bearing design, cut analysis time and reduce engineering workload.

Machine learning added to NTN’s ABICS system reduces simulation time by more than 90 percent and automates dimension optimization for third-generation hub bearings, the company says.

Researchers demonstrate fourfold improvement to LED steering results after enlisting the help of some good old-fashion AI ...

While experimentation is essential, traditional A/B testing can be excessively slow and expensive, according to DoorDash engineers Caixia Huang and Alex Weinstein. To address these limitations, they ...

Can one AI system meaningfully improve another without going back to expensive retraining runs? In other words, can our ...

In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...

Mechatronics, high-speed robot design, force- and vision-based machine control, artificial reflexes for autonomous machines, rapid prototyping, agile manufacturing, mobile robotic platforms Marvel, ...