Computer Sciences

A machine leaning model that incorporates immunological knowledge

The complex network of interconnected cellular signals produced in response to changes in the human body offers a vast amount of interesting and valuable insight that could inform the development of more effective medical ...

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 ...

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