Motion Cueing Algorithms in Simulation Systems Publication Trend The graph below shows the total number of publications each year in Motion Cueing Algorithms in Simulation Systems.

With four thriving campuses across Kolkata, Bhubaneswar, Ranchi, and Shillong, NIPS has built a pan-regional presence that ...

Context engineering—the art of shaping the data, metadata, and relationships that feed AI—may become the most critical discipline in tech. This is like gold for those of us in the FinTech data ...

The analysis reveals a strong dominance of AI applications in oncology, comprising 72.8% of all included studies. This skew reflects the data-rich nature of cancer research, commercial incentives, and ...

An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin has ...

Nanoparticles—the tiniest building blocks of our world—are constantly in motion, bouncing, shifting, and drifting in ...

A new study led by Freie Universität Berlin physicist and recently published in Nature Chemistry opens up, among other things ...

When ChatGPT or Gemini give what seems to be an expert response to your burning questions, you may not realize how much ...

Model for predicting molecular crystal properties is readily adaptable to specific tasks, even with limited data ...

Efficient and reliable motion planning is essential for robots in transportation systems. Learning-based motion planners, especially those leveraging graph neural networks (GNNs), have emerged as ...

Here we use cryogenic electron microscopy to determine the structure of TbAQP2 from Trypanosoma brucei, bound to either the substrate glycerol or to the sleeping sickness drugs, pentamidine or ...