Many conventional computer architectures are ill-equipped to meet the computational demands of machine learning-based models. In recent years, some engineers have thus been trying to design ...

Humans and certain animals appear to have an innate capacity to learn relationships between different objects or events in ...

This repo contains code accompaning the paper, Basic Enhancement Strategies When Using Bayesian Optimization for Hyperparameter Tuning of Deep Neural Networks Compared to ... be a major burden ...

A new study shows that the cerebral cortex predicts the future by detecting novel stimuli and forming short-term memory ...

A new study shows that the cerebral cortex acts as a "memory machine," constantly detecting novel stimuli to refine its predictions of the future.

Researchers have mapped and catalogued more than 70,000 synaptic connections from about 2,000 rat neurons, using a silicon chip capable of recording small yet telltale synaptic signals from a large ...

The default mode network (DMN) is a set of interconnected brain regions known to be most active when humans are awake but not ...

Learn how Modernism's focus on clarity and function drives the evolution of digital architecture in the 21st century.

The paper reviews some of the major issues that occur in the application of big data analytics and predictive modeling in ...

Intelligent networking – where edge networks implement automation, programmability, predictive analytics and orchestration – has the advantage of making network architecture more proactive and ...