A Comparative Study of AI-Powered Chatbot for Health Care. Journal of Computer and Communications, 13, 48-66. doi: 10.4236/jcc.2025.137003 . The need for this research arises from the increasing ...

This paper proposes an Encoder-Decoder neural network architecture with Attention Mechanism for solving the DRC-FJSSP using Deep Q-Learning. In the DRC-FJSSP the number of operations to schedule is ...

Image segmentation in robotics is an ongoing research field in which neural networks have shown promising performance. In this paper, we introduce MapSegNet, a deep convolutional neural network for ...

For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light instead of electricity to process information—promise faster speeds and ...

A study published in npj Computational Materials presents a new AI system that uses computer vision and language processing ...

A new technical paper titled “Hardware-software co-exploration with racetrack memory based in-memory computing for CNN ...

This change is used as an output signal, so such structures work like artificial neurons in a neural network," said Alexey Kavokin. The architecture proposed by St. Petersburg State University ...

Shanechi in their paper. "We present dissociative prioritized analysis of dynamics (DPAD), a nonlinear dynamical modeling approach that enables these capabilities with a multisection neural network ...

A team has made a major breakthrough in the field of three-dimensional (3D) imaging of large-scale biological tissues. They ...

Today, the Chan Zuckerberg Initiative (CZI) announced its latest AI model aimed at helping researchers better understand how cells behave by focusing on the key networks that control cell behavior, ...