MassRobotics survey offers a snapshot of current practices, challenges, and future expectations about sensor fusion, AI ...

In his research, Professor Marko Huhtanen from the University of Oulu, who specializes in applied and computational ...

A new AI-driven technology developed by researchers at UNIST promises to significantly reduce data transmission loads during image transfer, paving the way for advancements in autonomous vehicles, ...

Artificial intelligence has exploded in popularity in recent years, and many proponents are excited about its potential uses in medicine: for example, processing samples quickly or identifying markers ...

The authors have performed a potentially valuable new kind of analysis in connectomics, mapping to an interesting developmental problem of synaptic input to sensory neurons. While the analysis itself ...

An intelligent AFM processing framework integrates optimized scanning trajectories, distortion correction, and deep learning segmentation to ...

A research team led by NIMS has, for the first time, produced nanoscale images of two key features in an ultra-thin material: ...

This study shows that excitatory cholecystokinin (CCK)-expressing neurons in hippocampal area CA3 influence hippocampal-dependent memory using multiple methods to manipulate excitatory CCK-expressing ...

A scientist in Japan has developed a technique that uses brain scans and artificial intelligence to turn a person’s mental images into descriptive sentences.

Future computers are expected to incorporate analog systems to solve the critical energy bottleneck facing digital AI models. Analog computing uses continuous signals like voltage instead of the ...