Combining nodal seismic networks with AI creates a high-resolution 3D model of the internal structure of an active volcano ...

Scientists characterized the largest sample of a neural circuit to date to improve artificial intelligence models and better ...

AI in healthcare is changing how doctors diagnose illnesses. It’s not science fiction anymore; it’s here, helping ...

Researchers developed and validated a label-free, non-invasive method combining AFM with deep learning for accurate profiling ...

Researchers have developed a method that combines AFM and AI to accurately profile macrophage mechanophenotypes.

In cellular automata, simple rules create elaborate structures. Now researchers can start with the structures and ...

Abstract: Comparison of machine-learning antenna models, based on one deep neural network, an ensemble of neural networks and a mixture of experts, is presented. Two datasets comprising 100,000 ...

In this study, an integrated artificial intelligence (AI)-atomic force microscopy (AFM) platform is introduced that enables ...

A U.S. Naval Research Laboratory (NRL) research team successfully conducted the first reinforcement learning (RL) control of ...

This is a general purpose aimbot, which uses a neural network for enemy/target detection. The aimbot doesn't read/write memory from/to the target process. It is essentially a "pixel bot", designed ...

Orin also includes dedicated Deep Learning Accelerators (NVDLA) for steady, power-efficient inference, keeping the GPU free ...

MKDPINN is a novel approach for Remaining Useful Life (RUL) prediction, combining meta-learning, knowledge discovery, and Physics-Informed Neural Networks (PINNs). This repository contains the code ...