Recent advances unveiled physical neural networks as promising machine learning platforms, offering faster and more energy-efficient information processing. Compared with extensively-studied optical ...

There is a saying: “If you fail to plan, you plan to fail.” But how can you plan for a goal when you have little to no idea of the actions you need to take to achieve it? In this digital age, and ...

The democratization of AI encourages multi-task learning (MTL), demanding more parameters and processing time. To achieve highly energy-efficient MTL, Diffractive Optical Neural Networks (DONNs) have ...

Most robot headlines follow a familiar script: a machine masters one narrow trick in a controlled lab, then comes the bold promise that everything is about to change. I usually tune those stories out.

Observation is no substitute for participation. As automation replaces hands-on entry-level work, we limit learning and ...

Moving around can be a great way to shake off fatigue, re-energize the brain, and think outside the box. Learning stations: this flexible strategy turns the classroom into a series of learning sites, ...

Are your children confused by remote learning? Do they frequently not know what to do or where to start on an assignment, or get frustrated because they cannot immediately ask a teacher for ...

Adults lead complex lives with limits on the amount of time they have to engage in formal learning. This reality, combined with the amount of effort and practice needed to develop one’s literacy ...

Many of the concerns listed on this webpage use technology to address problems that may arise when building in active learning. Here you will also find additional resources to help facilitate teaching ...

Continual robot learning is an emerging interdisciplinary field that integrates advances from machine learning, robotics, and cognitive science to build ...