Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...

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

Researchers in the Department of Theoretical Physics at Tata Institute of Fundamental Research (TIFR), Mumbai, have ...

The work that we’re doing brings AI closer to human thinking,” said Mick Bonner, who teaches cognitive science at Hopkins.

AMD has been steadily expanding its FidelityFX Super Resolution technology since 2021, but “Redstone” represents the biggest ...

The human mind is turning out to be far stranger and more intricate than the tidy diagrams in old biology textbooks ever ...

What is a neural network? A neural network, also known as an artificial neural network, is a type of machine learning that works similarly to how the human brain processes information. Instead of ...

This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...

Introduction: Emotion recognition based on electroencephalogram (EEG) signals has shown increasing application potential in fields such as brain-computer interfaces and affective computing. However, ...

Andrea Califano, PhD, professor of chemical and systems biology at Columbia University, encourages an artificial intelligence (AI) approach to cancer immunotherapy, where AI models predict the genes ...

Summary: Researchers have developed a groundbreaking 3D brain model that closely mirrors the architecture and function of the human brain. Built using biomimetic 3D printing, the Bioengineered Neural ...

Cisco's Deep Network Model relies on telemetry data from ThousandEyes, AppDynamics, and NetFlow; AI Canvas troubleshoots network issues with real-time dashboards that guide corrective actions. SAN ...