The Role of Deep Learning in Artificial Intelligence: Essential or Optional?

The earliest artificial neural network, the Perceptron, was introduced approximately 65 years ago and consisted of just one layer.  However, to address solutions for more complex classification tasks, more advanced neural network architectures consisting of numerous feedforward (consecutive) layers were later introduced. This is the essential component of the current implementation of deep learning algorithms. Read more about The Role of Deep Learning in Artificial Intelligence: Essential or Optional?[…]

Touch-and-know with haptic feedback

Have you ever wondered whether the brains of right-handed people work differently from those of left-handers? Is it possible to distinguish between them by observing their brain activity in response to stimuli or tasks? These are important questions from the perspectives of both basic sciences and application-based fields such as brain-computer interfaces, rehabilitation robotics, and Read more about Touch-and-know with haptic feedback[…]

Early warning system on COVID-19 and flu using wearables

Temperature data collected by wearable devices worn on the finger can be reliably used to detect the onset of fevers, a leading symptom of both COVID-19 and the flu, according to a team of researchers from the University of California San Diego, UC San Francisco and MIT Lincoln Lab. Researchers published their results in a Read more about Early warning system on COVID-19 and flu using wearables[…]

Transparent ceramics make super-hard windows

Scientists have synthesised the first transparent sample of a popular industrial ceramic at DESY. The result is a super-hard window made of cubic silicon nitride that can potentially be used under extreme conditions like engines, as the Japanese-German team writes in the journal Scientific Reports. Cubic silicon nitride (c-Si3N4) forms under high pressure and is Read more about Transparent ceramics make super-hard windows[…]