Researchers at the University of California, Davis, have created a miniaturized microscope for real-time, high-resolution, ...

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 ...

Abstract: Many problems in science and engineering can be mathematically modeled using partial differential equations (PDEs), which are essential for fields like computational fluid dynamics (CFD), ...

The operation of future 6th-generation (6G) mobile networks will increasingly rely on the ability of Deep Reinforcement Learning (DRL) to optimize network decisions in real-time. However, trained DRL ...

1 School of Electronic and Information Engineering, Beijing Jiaotong University, China 2 School of Automation and Intelligence, Beijing Jiaotong University, China Recently, Deep Unfolding Networks ...

Abstract: Historically, electrocardiogram (ECG) datasets have been created based on physicians’ interpretation of the ECG, which may introduce human biases and errors. Nightingale Open Science ...