PhD candidate Khadija Iddrisu discusses the challenge of ‘motion blur’ in computer-vision research and how the tech benefits the sports, medicine and driving sectors. Khadija Iddrisu is in the early ...

HP’s Tom Sadler and Neil Dover said computer vision will lead to new advances in robotics, healthcare and more, but ethical issues exist surrounding systems such as facial recognition. Computer vision ...

Computer vision continues to be one of the most dynamic and impactful fields in artificial intelligence. Thanks to breakthroughs in deep learning, architecture design and data efficiency, machines are ...

In the past decade, Artificial Intelligence and Machine Learning have moved from the pages of research papers into everyday life. AI powers voice assistants, recommendation engines, self-driving cars, ...

Although deep learning has recently driven rapid progress in areas of artificial intelligence such as natural language processing 6 and computer vision 7,8,9, even the best of these systems often fail ...

Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation. The deployment of ML models on embedded edge devices, characterized by ...

Electroencephalography (EEG) recordings with visual stimuli require detailed coding to determine the periods of participant’s attention. Here we propose to use a supervised machine learning model and ...