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

Altuna Akalin and his team at the Max Delbrück Center have developed a new tool to more precisely guide cancer treatment. Described in a paper published in “Nature Communications,” the tool, called ...

Machine learning algorithms have been used to predict cancer progression, identify early signs of Parkinson’s disease, and ...

Transformer models adapted from natural language processing, such as BERT, identify semantic flaws in code, including ...

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

This repository contains a complete implementation of a deep learning-based forecasting model developed during a research internship. The notebook focuses on building neural networks for time series ...

1 Department of Nuclear Medicine, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, China 2 Department of Nuclear Medicine, Meizhou People’s Hosptal (Meizhou ...

This is an application-oriented course with programming assignments in Python/Tensorflow. The course proceeds in three phases: Lecture part, project part, and excursion/project presentation. The ...

Abstract: Deep Reinforcement Learning (DRL) enable several areas of artificial intelligence, including perception recognition, expert system, recommender program and game. Also, graph neural networks ...

1 Energy, Materials, Modeling, Method Research Laboratory (E3M), University of Douala, Douala, Cameroon. 2 National Advanced School of Engineering, University of Douala, Douala, Cameroon. 3 National ...