The current boom in AI technology has ridden on a wave known as ‘deep learning’, which is an approach to creating intelligent ...

Abstract: Traditional optimization-based techniques for time-synchronized state estimation (SE) often suffer from high online computational burden, limited phasor measurement unit (PMU) coverage, and ...

Research reveals why AI systems can't become conscious—and what radically different computing substrates would be needed to ...

The consciousness debate is often trapped between two extremes: either the brain is “just software” (computational ...

Confused by neural networks? This video breaks it all down in simple terms. Understand how they work and why they’re at the ...

Confused about activation functions in neural networks? This video breaks down what they are, why they matter, and the most common types — including ReLU, Sigmoid, Tanh, and more! #NeuralNetworks #Mac ...

Expert and doctor recommendations on how to cultivate an attitude of gratitude in kids and teenagers all year long.

Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...

Shifting focus on a visual scene without moving our eyes—think driving, or reading a room for the reaction to your joke—is a ...

Bell Labs is already highly recognized, but in its centennial year, the organization hoped to add more awards to burnish its ...

Abstract: Neural fields, also known as coordinate-based multi-layer perceptrons (MLPs), have recently achieved impressive results in representing low-dimensional data. Unlike convolutional neural ...

Your brain wasn't built for modern life. Here's why you struggle with parking, passwords, binge-watching, and even something as simple as splitting a check ...