In two commentaries, researchers at the University of Maryland School of Medicine say combining modeling methods—and ethically sharing health data—could transform treatment With the advent of artificial intelligence (AI), predictive medicine is becoming an important part of healthcare, especially in cancer treatment. Predictive medicine uses algorithms and data to help doctors understand how a cancer might continue to grow or react to specific drugs—making it easier to target precision treatment for individual patients. While AI is important in this work,…

Neural networks are one typical structure on which artificial intelligence can be based. The term ›neural‹ describes their learning ability, which to some extent mimics the functioning of neurons in our brains. To be able to work, several key ingredients are required: one of them is an activation function which introduces nonlinearity into the structure. A photonic activation function has important advantages for the implementation of optical neural networks based on light propagation. Researchers in the Stiller Research Group at…

New AI model explains the basis for its decisions and the intention behind actions The Titanic sunk 113 years ago on April 14-15, after hitting an iceberg, with human error likely causing the ship to stray into those dangerous waters. Today, autonomous systems built on artificial intelligence can help ships avoid such accidents, but could such a system explain to the captain why it was maneuvering a certain way? That’s the idea behind explainable AI, which should help human actors…

A research paper by scientists at Shanghai Jiao Tong University presented a novel channel-wise cumulative spike train image-driven model (cwCST-CNN) for hand gesture recognition. The research paper, published on Mar. 21, 2025 in the journal Cyborg and Bionic Systems, leverage a custom convolutional neural network (CNN) to extract both local and global features for classifying hand gestures, by decomposing high-density surface EMG (HD-sEMG) signals into channel-wise cumulative spike trains (cw-CSTs) and reconstructing these into two-dimensional images based on the spatial…