Electronics & Semiconductors

A deep-learning-enhanced e-skin that can decode complex human motions

Researchers at Seoul National University and Korea Advanced Institute of Science and Technology (KAIST) have recently developed a sensor that can act as an electronic skin and integrated it with a deep neural network. This ...

Robotics

Teaching the iCub robot to express basic human emotions

As robots make their way into a variety of environments and start interacting with humans on a regular basis, they should be able to communicate with users as effectively as possible. Over the past decade or so, researchers ...

Computer Sciences

A new deep learning model for EEG-based emotion recognition

Recent advances in machine learning have enabled the development of techniques to detect and recognize human emotions. Some of these techniques work by analyzing electroencephalography (EEG) signals, which are essentially ...

Computer Sciences

A model to determine the impact of DDoS attacks using Twitter data

Distributed denial of service (DDoS) attacks, which are designed to prevent legitimate users from accessing specific network systems, have become increasingly common over the past decade or so. These attacks make services ...

Machine learning & AI

An approach to enhance question answering (QA) models

Identifying the correct answer to a question often entails gathering large amounts of information and understanding complex ideas. In a recent study, a team of researchers at New York University (NYU) and Facebook AI Research ...

Machine learning & AI

Estimating people's age using convolutional neural networks

Over the past few years, researchers have created a growing number of machine learning (ML)-based face recognition techniques, which could have numerous interesting applications, for instance, enhancing surveillance monitoring, ...

page 1 from 30