Researchers at the University of Tokyo have identified a precise sweet spot where quantum reservoir computing, a machine learning approach that treats quantum systems as computational engines, reaches ...

During the acquisition of correct rejection response, rankings of functional connection separated for cortical and subcortical regions, which is predictive of the peak timing of visual information ...

Identifying vulnerabilities is good for public safety, industry, and the scientists making these models.

Reservoir computing is a promising machine learning-based approach for the analysis of data that changes over time, such as ...

To improve behavior in class, teachers should focus on praising children for good behavior, rather than telling them off for being disruptive, according to a new study. To improve behavior in class, ...

The most successful organizations have leaders who understand how to implement strategies in ways that align with how people think, decide and act.

Imagine balancing a ruler vertically in the palm of your hand: you have to constantly pay attention to the angle of the ruler and make many small adjustments to make sure it doesn't fall over. It ...

Apply the laws of habit formation to AI-driven experience orchestration, and transform daily workflows, eliminate micro-friction and unlock compounding productivity gains at scale.

The traditional model of memory proposes that different types of long term memory are processed in separate brain modules. New research shows activation of these modules overlaps.

Most dental practices do not struggle with inventory because the team does not care. They struggle because inventory work is ...

In an era where criminals hide evidence in the cloud, on microchips, and inside devices no bigger than a fingernail, law enforcement has had to evolve.

Abstract: Evolutionary multi-task optimization is an emerging research topic in the field of evolutionary computation. It aims to achieve simultaneous optimization of different tasks by dynamically ...