(1) Integration with Artificial Intelligence and Machine Learning ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

With artificial intelligence (AI) becoming an omnipresent focus of innovation in the healthcare sector, it should come as no ...

In the wave of digital transformation, China Telecom has once again broken through technological boundaries through ...

Ruinous fires across the West often lead to smoke-filled days with flames tearing through large swaths of natural land. While most of these fires are started by people, many fires start because of ...

In recent years, artificial intelligence has brought a major breakthrough in how we solve complex challenges in various workplaces. Generally, in healthcare, where these complex tasks and challenges ...

The integration of biological principles into artificial visual systems is advancing machine vision, enabling superior ...

Abstract: This paper presents an efficient reconfigurable parameterized convolutional neural network (CNN) accelerator designed for FPGA platforms. The core of the accelerator allows flexible ...

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 ...

Fusion energy has long promised the world a clean, nearly limitless source of power. But despite the excitement, real-world ...

Abstract: Leveraging multimodal brain signals, such as electroencephalogram (EEG) and functional near-infrared spectroscopy (fNIRS), for the objective detection of brain activity is regarded as a ...

A new study introduces an innovative method to monitor sludge moisture content in real-time, combining jet imaging and deep ...