It’s a familiar moment in math class—students are asked to solve a problem, and some jump in confidently while others freeze, unsure where to begin. When students don’t yet have a clear mental model ...

Abstract: In this article, mixed equilibrium problems (MEPs) in uncertain and dynamic environments are investigated by employing a multiagent system (MAS), where each agent only has access to its own ...

Earth observation (EO) constellations capture huge volumes of high-resolution imagery every day, but most of it never reaches the ground in time for model training. Downlink bandwidth is the main ...

How a strong Portrait of a Graduate can set the foundation for prioritizing student-centered learning district-wide. A Portrait of a Graduate or learner profile is more than a statement of beliefs. It ...

MLX enables efficient implementation of tensor parallelism *(TP)* through its implementation of distributed layers. In this example we will explore what these layers are and create a small inference ...

What is supervised learning and how does it work? In this video/post, we break down supervised learning with a simple, real-world example to help you understand this key concept in machine learning.

1. Demonstrate that scientific knowledge applies across multiple scales of size and/or time. Climate impacts, local vs global. Climate change timescales, long term (geologic timescale) to short term ...

With the aim of bridging the gap between laboratory studies and real-world learning experiences, this research investigated the effects of combining retrieval and distributed practice in primary ...

Abstract: High performance consensus tracking problem, which requires all the subsystems operating repetitively to track a desired reference, has found a number of important applications in the last ...

1 School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA. 2 Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA. As cloud ...