Advanced machine learning techniques have demonstrated the identifiability of human traces online, however, assessment of their potential risks is usually done with small-scale datasets. The authors propose a physics-based approach to evaluate the effectiveness of identification techniques from reported measurements.

A century ago, physics had its Darwinian moment — a change in perspective that was as consequential for the physical sciences as the theory of evolution by natural selection was for biology.

The development of robotic guide dogs is crucial to improve the independence and mobility of people with limited vision, offering a safer and more efficient alternative to traditional aids. Here we highlight our Robotic Guide Dog system, focusing on its technological framework and discussing challenges encountered during commercialization.

An article in IEEE Internet of Things Journal presents a solution for mitigating impulsive noise in underwater acoustic communication using a one-dimensional convolutional neural network with a multi-attention mechanism.

Language models developed by big technology companies consistently underperform in African languages. It’s time to focus on local solutions.