The device marks a major step forward in transforming how neuroscientists study the brain. By enabling high-resolution, real-time imaging of brain activity in freely moving mice, the miniaturized ...

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 ...

Abstract: This letter considers UAV-assisted data collection from energy-constrained Internet of Things (IoT) devices. Herein, a UAV utilizes radio frequency-based wireless power transfer technique to ...

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 ...

Abstract: This paper investigates an unmanned aerial vehicle (UAV) assisted semantic network where the ground users (GUs) periodically capture and upload the sensing information to a base station (BS) ...

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